category_per_cnt.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": [
        "9v5Pt-y-4-W0",
        "zs92pOeZ5Edp",
        "4gFXdIiH5LQC",
        "9rkjlYiK5OzX",
        "3BS5YAie5U2U"
      ]
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "## 데이터 로드 및 분리"
      ],
      "metadata": {
        "id": "3RpnKLRmpMhX"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EYdukW7BnVni",
        "outputId": "0b844691-1a2d-442e-9abd-7abec37ad93b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt"
      ],
      "metadata": {
        "id": "duR9xzaPn8Wu"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train = pd.read_csv(\"/content/drive/MyDrive/boost/train.csv\")\n",
        "test = pd.read_csv(\"/content/drive/MyDrive/boost/test.csv\")"
      ],
      "metadata": {
        "id": "4YhGSyQGoAjl"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# 0 : IT/Science\n",
        "# 1 : Economy\n",
        "# 2 : Society\n",
        "# 3 : Culture\n",
        "# 4 : World\n",
        "# 5 : Sport\n",
        "# 6 : Politics\n",
        "it_science = train[train['target']==0]\n",
        "economy = train[train['target']==1]\n",
        "society = train[train['target']==2]\n",
        "culture = train[train['target']==3]\n",
        "world = train[train['target']==4]\n",
        "sport = train[train['target']==5]\n",
        "politics = train[train['target']==6]"
      ],
      "metadata": {
        "id": "4Pc6pID0oCQx"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 형태소 분석 및 워드 카운트"
      ],
      "metadata": {
        "id": "HMLz90tCpO7o"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install kiwipiepy"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zN6FLaE0oyY4",
        "outputId": "3ffe0b4f-d74f-42ed-c3df-469b18d6d419"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting kiwipiepy\n",
            "  Downloading kiwipiepy-0.16.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.8 MB)\n",
            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/2.8 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[91m━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.4/2.8 MB\u001b[0m \u001b[31m12.0 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m2.8/2.8 MB\u001b[0m \u001b[31m48.2 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.8/2.8 MB\u001b[0m \u001b[31m34.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting kiwipiepy-model~=0.16 (from kiwipiepy)\n",
            "  Downloading kiwipiepy_model-0.16.0.tar.gz (30.8 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m30.8/30.8 MB\u001b[0m \u001b[31m41.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from kiwipiepy) (1.23.5)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from kiwipiepy) (4.66.1)\n",
            "Building wheels for collected packages: kiwipiepy-model\n",
            "  Building wheel for kiwipiepy-model (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for kiwipiepy-model: filename=kiwipiepy_model-0.16.0-py3-none-any.whl size=30813256 sha256=6ea2218d484988ebde173a317bfd26bdb0f3ff5400739172fdb089c153103a94\n",
            "  Stored in directory: /root/.cache/pip/wheels/6b/03/2b/ac2c97cc65ebd9df3516f4b900adc2f0a744df8d1375b2e2ef\n",
            "Successfully built kiwipiepy-model\n",
            "Installing collected packages: kiwipiepy-model, kiwipiepy\n",
            "Successfully installed kiwipiepy-0.16.2 kiwipiepy-model-0.16.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 사용자 함수 로드 후, 키위 형태소 분석 사용\n",
        "from kiwipiepy import Kiwi\n",
        "#from kiwipiepy.utils import Stopwords\n",
        "kiwi = Kiwi()\n",
        "# stopwords = Stopwords()\n",
        "# kiwi.load_user_dictionary('')\n",
        "# kiwi.prepare()"
      ],
      "metadata": {
        "id": "851zpk06o5Uy"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from tqdm import tqdm\n",
        "tqdm.pandas()"
      ],
      "metadata": {
        "id": "tDPe9OTFpG_i"
      },
      "execution_count": 272,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "1. 품사태깅"
      ],
      "metadata": {
        "id": "11pRRkD5pQkF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def pos_tagging(text):\n",
        "  raw_pos_tagged = kiwi.tokenize(text, normalize_coda=False)\n",
        "  return raw_pos_tagged"
      ],
      "metadata": {
        "id": "ZU6izmZ0o-Y5"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "2. 품사 필터"
      ],
      "metadata": {
        "id": "rE9tCFNRpR9L"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "## NN* : 명사 (일반, 고유, 의존)\n",
        "## V* : 용언 (동사, 형용사)\n",
        "## XR : 어근\n",
        "## S* : 부호, 외국어, 특수문자 (알파벳, 숫자, 기타특수문자) # 'SL', 'SN', 'SW'\n",
        "main = ['NNG', 'NNB', 'NNP', 'VV', 'VA', 'XR']\n",
        "da = ['VV', 'VA']\n",
        "\n",
        "def pos_filter(df, col):\n",
        "  word_cleaned=[]\n",
        "  for index, row in tqdm(df.iterrows()):\n",
        "    if row[col]:\n",
        "      tag_filter=[]\n",
        "      for token in row[col]:\n",
        "        if token.tag in main:\n",
        "          if token.tag in da:\n",
        "            tag_filter.append(token.form+'다')\n",
        "          else:\n",
        "            tag_filter.append(token.form)\n",
        "    temp=[]\n",
        "    for i in tag_filter:\n",
        "      if len(i)>1:\n",
        "        temp.append(i)\n",
        "    word_cleaned.append(temp)\n",
        "  return word_cleaned"
      ],
      "metadata": {
        "id": "-YqoSayipAdo"
      },
      "execution_count": 79,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "3. 단어 카운트"
      ],
      "metadata": {
        "id": "mJAvcxw8pYDB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def word_count(word_list):\n",
        "  from collections import Counter\n",
        "  result = Counter(word_list)\n",
        "  word_dic = dict(result)\n",
        "  sorted_dict = sorted(word_dic.items(), key= lambda item:item[1], reverse=True)\n",
        "  return sorted_dict"
      ],
      "metadata": {
        "id": "uPiyJY5_pUa6"
      },
      "execution_count": 80,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 0) it_science"
      ],
      "metadata": {
        "id": "qyC3dPXhph8V"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "it_science['text_pos_tagging'] = it_science['text'].progress_apply(lambda x: pos_tagging(x))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JP5L49BOpZSX",
        "outputId": "ef983c84-ba6c-4a91-d28d-52eb1b7a8979"
      },
      "execution_count": 177,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 1000/1000 [00:01<00:00, 922.62it/s]\n",
            "<ipython-input-177-180bbc7435d8>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  it_science['text_pos_tagging'] = it_science['text'].progress_apply(lambda x: pos_tagging(x))\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "it_science"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "9NeuKNfOpyjY",
        "outputId": "97946bc4-b288-42e3-8e18-d60430ec025c"
      },
      "execution_count": 178,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       ID                                 text  target  \\\n",
              "1     ynat-v1_train_00001            삼성전자 KBIS 2018서 셰프컬렉션 선보여       0   \n",
              "2     ynat-v1_train_00002              LG G6 사면 BO 이어폰이 단돈 5천원       0   \n",
              "13    ynat-v1_train_00013            SK텔레콤 해킹불가능 장거리 양자암호통신 성공       0   \n",
              "17    ynat-v1_train_00017          마이크로소프트 2세대 무선 디스플레이 어댑터 출시       0   \n",
              "30    ynat-v1_train_00030            갤럭시S8 중동 상륙…28일 아랍에미리트 출시       0   \n",
              "...                   ...                                  ...     ...   \n",
              "6964  ynat-v1_train_06964              구글 국립공원 탐방로 파노라마 이미지 제공       0   \n",
              "6967  ynat-v1_train_06967  2018 ICT 결산 ③플랫폼 업계 위기 넘으면 또 다른 위기끝       0   \n",
              "6977  ynat-v1_train_06977         KT 28㎓ 대역에서 5G 네트워크 현장 검증 성공       0   \n",
              "6980  ynat-v1_train_06980          태양열로 공기 중 물 얻는다…물 부족 국가에 유용       0   \n",
              "6984  ynat-v1_train_06984                      슬로우슬립 해저에서 첫 관측       0   \n",
              "\n",
              "                                                    url                  date  \\\n",
              "1     https://news.naver.com/main/read.nhn?mode=LS2D...   2018.01.10. 오전 8:33   \n",
              "2     https://news.naver.com/main/read.nhn?mode=LS2D...  2017.04.30. 오전 10:00   \n",
              "13    https://news.naver.com/main/read.nhn?mode=LS2D...   2017.06.19. 오전 9:18   \n",
              "17    https://news.naver.com/main/read.nhn?mode=LS2D...  2016.06.16. 오전 11:12   \n",
              "30    https://news.naver.com/main/read.nhn?mode=LS2D...   2017.04.12. 오전 9:24   \n",
              "...                                                 ...                   ...   \n",
              "6964  https://news.naver.com/main/read.nhn?mode=LS2D...   2017.06.22. 오후 3:52   \n",
              "6967  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.12.16. 오전 6:03   \n",
              "6977  https://news.naver.com/main/read.nhn?mode=LS2D...  2020.01.15. 오전 10:40   \n",
              "6980  https://news.naver.com/main/read.nhn?mode=LS2D...   2017.04.14. 오전 3:00   \n",
              "6984  https://news.naver.com/main/read.nhn?mode=LS2D...   2016.05.06. 오전 3:00   \n",
              "\n",
              "                                       text_pos_tagging  \\\n",
              "1     [(삼성전자, NNP, 0, 4), (KBIS, SL, 5, 4), (2018, S...   \n",
              "2     [(LG, SL, 0, 2), (G, SL, 3, 1), (6, SN, 4, 1),...   \n",
              "13    [(SK텔레콤, NNP, 0, 5), (해킹, NNG, 6, 2), (불, XPN,...   \n",
              "17    [(마이크로소프트, NNP, 0, 7), (2, SN, 8, 1), (세대, NNG...   \n",
              "30    [(갤럭시S8, NNP, 0, 5), (중동, NNP, 6, 2), (상륙, NNG...   \n",
              "...                                                 ...   \n",
              "6964  [(구글, NNP, 0, 2), (국립공원, NNG, 3, 4), (탐방로, NNG...   \n",
              "6967  [(2018, SN, 0, 4), (ICT, SL, 5, 3), (결산, NNG, ...   \n",
              "6977  [(KT, SL, 0, 2), (28, SN, 3, 2), (㎓, SW, 5, 1)...   \n",
              "6980  [(태양열, NNG, 0, 3), (로, JKB, 3, 1), (공기, NNG, 5...   \n",
              "6984  [(슬로우, NNG, 0, 3), (슬립, NNG, 3, 2), (해저, NNG, ...   \n",
              "\n",
              "                         text_pos_filter  \n",
              "1                  [삼성전자, 셰프, 컬렉션, 선보이다]  \n",
              "2                          [사면, 이어폰, 단돈]  \n",
              "13    [SK텔레콤, 해킹, 가능, 장거리, 양자암호, 통신, 성공]  \n",
              "17     [마이크로소프트, 세대, 무선, 디스플레이, 어댑터, 출시]  \n",
              "30           [갤럭시S8, 중동, 상륙, 아랍에미리트, 출시]  \n",
              "...                                  ...  \n",
              "6964      [구글, 국립공원, 탐방로, 파노라마, 이미지, 제공]  \n",
              "6967           [결산, 플랫폼, 업계, 위기, 넘다, 위기]  \n",
              "6977                  [네트워크, 현장, 검증, 성공]  \n",
              "6980               [태양열, 공기, 부족, 국가, 유용]  \n",
              "6984                   [슬로우, 슬립, 해저, 관측]  \n",
              "\n",
              "[1000 rows x 7 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-8f00e0e7-3949-4790-8468-8f68d13e5735\" class=\"colab-df-container\">\n",
              "    <div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>text</th>\n",
              "      <th>target</th>\n",
              "      <th>url</th>\n",
              "      <th>date</th>\n",
              "      <th>text_pos_tagging</th>\n",
              "      <th>text_pos_filter</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ynat-v1_train_00001</td>\n",
              "      <td>삼성전자 KBIS 2018서 셰프컬렉션 선보여</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.01.10. 오전 8:33</td>\n",
              "      <td>[(삼성전자, NNP, 0, 4), (KBIS, SL, 5, 4), (2018, S...</td>\n",
              "      <td>[삼성전자, 셰프, 컬렉션, 선보이다]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ynat-v1_train_00002</td>\n",
              "      <td>LG G6 사면 BO 이어폰이 단돈 5천원</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2017.04.30. 오전 10:00</td>\n",
              "      <td>[(LG, SL, 0, 2), (G, SL, 3, 1), (6, SN, 4, 1),...</td>\n",
              "      <td>[사면, 이어폰, 단돈]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>ynat-v1_train_00013</td>\n",
              "      <td>SK텔레콤 해킹불가능 장거리 양자암호통신 성공</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2017.06.19. 오전 9:18</td>\n",
              "      <td>[(SK텔레콤, NNP, 0, 5), (해킹, NNG, 6, 2), (불, XPN,...</td>\n",
              "      <td>[SK텔레콤, 해킹, 가능, 장거리, 양자암호, 통신, 성공]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>ynat-v1_train_00017</td>\n",
              "      <td>마이크로소프트 2세대 무선 디스플레이 어댑터 출시</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.06.16. 오전 11:12</td>\n",
              "      <td>[(마이크로소프트, NNP, 0, 7), (2, SN, 8, 1), (세대, NNG...</td>\n",
              "      <td>[마이크로소프트, 세대, 무선, 디스플레이, 어댑터, 출시]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>ynat-v1_train_00030</td>\n",
              "      <td>갤럭시S8 중동 상륙…28일 아랍에미리트 출시</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2017.04.12. 오전 9:24</td>\n",
              "      <td>[(갤럭시S8, NNP, 0, 5), (중동, NNP, 6, 2), (상륙, NNG...</td>\n",
              "      <td>[갤럭시S8, 중동, 상륙, 아랍에미리트, 출시]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6964</th>\n",
              "      <td>ynat-v1_train_06964</td>\n",
              "      <td>구글 국립공원 탐방로 파노라마 이미지 제공</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2017.06.22. 오후 3:52</td>\n",
              "      <td>[(구글, NNP, 0, 2), (국립공원, NNG, 3, 4), (탐방로, NNG...</td>\n",
              "      <td>[구글, 국립공원, 탐방로, 파노라마, 이미지, 제공]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6967</th>\n",
              "      <td>ynat-v1_train_06967</td>\n",
              "      <td>2018 ICT 결산 ③플랫폼 업계 위기 넘으면 또 다른 위기끝</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.12.16. 오전 6:03</td>\n",
              "      <td>[(2018, SN, 0, 4), (ICT, SL, 5, 3), (결산, NNG, ...</td>\n",
              "      <td>[결산, 플랫폼, 업계, 위기, 넘다, 위기]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6977</th>\n",
              "      <td>ynat-v1_train_06977</td>\n",
              "      <td>KT 28㎓ 대역에서 5G 네트워크 현장 검증 성공</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2020.01.15. 오전 10:40</td>\n",
              "      <td>[(KT, SL, 0, 2), (28, SN, 3, 2), (㎓, SW, 5, 1)...</td>\n",
              "      <td>[네트워크, 현장, 검증, 성공]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6980</th>\n",
              "      <td>ynat-v1_train_06980</td>\n",
              "      <td>태양열로 공기 중 물 얻는다…물 부족 국가에 유용</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2017.04.14. 오전 3:00</td>\n",
              "      <td>[(태양열, NNG, 0, 3), (로, JKB, 3, 1), (공기, NNG, 5...</td>\n",
              "      <td>[태양열, 공기, 부족, 국가, 유용]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6984</th>\n",
              "      <td>ynat-v1_train_06984</td>\n",
              "      <td>슬로우슬립 해저에서 첫 관측</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.05.06. 오전 3:00</td>\n",
              "      <td>[(슬로우, NNG, 0, 3), (슬립, NNG, 3, 2), (해저, NNG, ...</td>\n",
              "      <td>[슬로우, 슬립, 해저, 관측]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 7 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8f00e0e7-3949-4790-8468-8f68d13e5735')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-8f00e0e7-3949-4790-8468-8f68d13e5735 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-8f00e0e7-3949-4790-8468-8f68d13e5735');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-2fa846ae-abd6-45bb-887f-5e052ed14281\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2fa846ae-abd6-45bb-887f-5e052ed14281')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-2fa846ae-abd6-45bb-887f-5e052ed14281 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 178
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "it_science['text_pos_filter'] = pos_filter(it_science,'text_pos_tagging')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Mwc9K_FTphXX",
        "outputId": "54a4d18b-c640-405e-f174-e1422524b1a4"
      },
      "execution_count": 179,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "1000it [00:00, 16274.53it/s]\n",
            "<ipython-input-179-5918fc3834e7>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  it_science['text_pos_filter'] = pos_filter(it_science,'text_pos_tagging')\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "it_science"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "0nfKFl0RpuEm",
        "outputId": "ec243831-7b2d-4d19-dad4-6b7ea8b5405d"
      },
      "execution_count": 180,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       ID                                 text  target  \\\n",
              "1     ynat-v1_train_00001            삼성전자 KBIS 2018서 셰프컬렉션 선보여       0   \n",
              "2     ynat-v1_train_00002              LG G6 사면 BO 이어폰이 단돈 5천원       0   \n",
              "13    ynat-v1_train_00013            SK텔레콤 해킹불가능 장거리 양자암호통신 성공       0   \n",
              "17    ynat-v1_train_00017          마이크로소프트 2세대 무선 디스플레이 어댑터 출시       0   \n",
              "30    ynat-v1_train_00030            갤럭시S8 중동 상륙…28일 아랍에미리트 출시       0   \n",
              "...                   ...                                  ...     ...   \n",
              "6964  ynat-v1_train_06964              구글 국립공원 탐방로 파노라마 이미지 제공       0   \n",
              "6967  ynat-v1_train_06967  2018 ICT 결산 ③플랫폼 업계 위기 넘으면 또 다른 위기끝       0   \n",
              "6977  ynat-v1_train_06977         KT 28㎓ 대역에서 5G 네트워크 현장 검증 성공       0   \n",
              "6980  ynat-v1_train_06980          태양열로 공기 중 물 얻는다…물 부족 국가에 유용       0   \n",
              "6984  ynat-v1_train_06984                      슬로우슬립 해저에서 첫 관측       0   \n",
              "\n",
              "                                                    url                  date  \\\n",
              "1     https://news.naver.com/main/read.nhn?mode=LS2D...   2018.01.10. 오전 8:33   \n",
              "2     https://news.naver.com/main/read.nhn?mode=LS2D...  2017.04.30. 오전 10:00   \n",
              "13    https://news.naver.com/main/read.nhn?mode=LS2D...   2017.06.19. 오전 9:18   \n",
              "17    https://news.naver.com/main/read.nhn?mode=LS2D...  2016.06.16. 오전 11:12   \n",
              "30    https://news.naver.com/main/read.nhn?mode=LS2D...   2017.04.12. 오전 9:24   \n",
              "...                                                 ...                   ...   \n",
              "6964  https://news.naver.com/main/read.nhn?mode=LS2D...   2017.06.22. 오후 3:52   \n",
              "6967  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.12.16. 오전 6:03   \n",
              "6977  https://news.naver.com/main/read.nhn?mode=LS2D...  2020.01.15. 오전 10:40   \n",
              "6980  https://news.naver.com/main/read.nhn?mode=LS2D...   2017.04.14. 오전 3:00   \n",
              "6984  https://news.naver.com/main/read.nhn?mode=LS2D...   2016.05.06. 오전 3:00   \n",
              "\n",
              "                                       text_pos_tagging  \\\n",
              "1     [(삼성전자, NNP, 0, 4), (KBIS, SL, 5, 4), (2018, S...   \n",
              "2     [(LG, SL, 0, 2), (G, SL, 3, 1), (6, SN, 4, 1),...   \n",
              "13    [(SK텔레콤, NNP, 0, 5), (해킹, NNG, 6, 2), (불, XPN,...   \n",
              "17    [(마이크로소프트, NNP, 0, 7), (2, SN, 8, 1), (세대, NNG...   \n",
              "30    [(갤럭시S8, NNP, 0, 5), (중동, NNP, 6, 2), (상륙, NNG...   \n",
              "...                                                 ...   \n",
              "6964  [(구글, NNP, 0, 2), (국립공원, NNG, 3, 4), (탐방로, NNG...   \n",
              "6967  [(2018, SN, 0, 4), (ICT, SL, 5, 3), (결산, NNG, ...   \n",
              "6977  [(KT, SL, 0, 2), (28, SN, 3, 2), (㎓, SW, 5, 1)...   \n",
              "6980  [(태양열, NNG, 0, 3), (로, JKB, 3, 1), (공기, NNG, 5...   \n",
              "6984  [(슬로우, NNG, 0, 3), (슬립, NNG, 3, 2), (해저, NNG, ...   \n",
              "\n",
              "                         text_pos_filter  \n",
              "1                  [삼성전자, 셰프, 컬렉션, 선보이다]  \n",
              "2                          [사면, 이어폰, 단돈]  \n",
              "13    [SK텔레콤, 해킹, 가능, 장거리, 양자암호, 통신, 성공]  \n",
              "17     [마이크로소프트, 세대, 무선, 디스플레이, 어댑터, 출시]  \n",
              "30           [갤럭시S8, 중동, 상륙, 아랍에미리트, 출시]  \n",
              "...                                  ...  \n",
              "6964      [구글, 국립공원, 탐방로, 파노라마, 이미지, 제공]  \n",
              "6967           [결산, 플랫폼, 업계, 위기, 넘다, 위기]  \n",
              "6977                  [네트워크, 현장, 검증, 성공]  \n",
              "6980               [태양열, 공기, 부족, 국가, 유용]  \n",
              "6984                   [슬로우, 슬립, 해저, 관측]  \n",
              "\n",
              "[1000 rows x 7 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d3699dcc-8e4b-4852-95bf-c974ee42f5fb\" class=\"colab-df-container\">\n",
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              "\n",
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              "\n",
              "    .dataframe thead th {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>text</th>\n",
              "      <th>target</th>\n",
              "      <th>url</th>\n",
              "      <th>date</th>\n",
              "      <th>text_pos_tagging</th>\n",
              "      <th>text_pos_filter</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ynat-v1_train_00001</td>\n",
              "      <td>삼성전자 KBIS 2018서 셰프컬렉션 선보여</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.01.10. 오전 8:33</td>\n",
              "      <td>[(삼성전자, NNP, 0, 4), (KBIS, SL, 5, 4), (2018, S...</td>\n",
              "      <td>[삼성전자, 셰프, 컬렉션, 선보이다]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ynat-v1_train_00002</td>\n",
              "      <td>LG G6 사면 BO 이어폰이 단돈 5천원</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2017.04.30. 오전 10:00</td>\n",
              "      <td>[(LG, SL, 0, 2), (G, SL, 3, 1), (6, SN, 4, 1),...</td>\n",
              "      <td>[사면, 이어폰, 단돈]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>ynat-v1_train_00013</td>\n",
              "      <td>SK텔레콤 해킹불가능 장거리 양자암호통신 성공</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2017.06.19. 오전 9:18</td>\n",
              "      <td>[(SK텔레콤, NNP, 0, 5), (해킹, NNG, 6, 2), (불, XPN,...</td>\n",
              "      <td>[SK텔레콤, 해킹, 가능, 장거리, 양자암호, 통신, 성공]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>ynat-v1_train_00017</td>\n",
              "      <td>마이크로소프트 2세대 무선 디스플레이 어댑터 출시</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.06.16. 오전 11:12</td>\n",
              "      <td>[(마이크로소프트, NNP, 0, 7), (2, SN, 8, 1), (세대, NNG...</td>\n",
              "      <td>[마이크로소프트, 세대, 무선, 디스플레이, 어댑터, 출시]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>ynat-v1_train_00030</td>\n",
              "      <td>갤럭시S8 중동 상륙…28일 아랍에미리트 출시</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2017.04.12. 오전 9:24</td>\n",
              "      <td>[(갤럭시S8, NNP, 0, 5), (중동, NNP, 6, 2), (상륙, NNG...</td>\n",
              "      <td>[갤럭시S8, 중동, 상륙, 아랍에미리트, 출시]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6964</th>\n",
              "      <td>ynat-v1_train_06964</td>\n",
              "      <td>구글 국립공원 탐방로 파노라마 이미지 제공</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2017.06.22. 오후 3:52</td>\n",
              "      <td>[(구글, NNP, 0, 2), (국립공원, NNG, 3, 4), (탐방로, NNG...</td>\n",
              "      <td>[구글, 국립공원, 탐방로, 파노라마, 이미지, 제공]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6967</th>\n",
              "      <td>ynat-v1_train_06967</td>\n",
              "      <td>2018 ICT 결산 ③플랫폼 업계 위기 넘으면 또 다른 위기끝</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.12.16. 오전 6:03</td>\n",
              "      <td>[(2018, SN, 0, 4), (ICT, SL, 5, 3), (결산, NNG, ...</td>\n",
              "      <td>[결산, 플랫폼, 업계, 위기, 넘다, 위기]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6977</th>\n",
              "      <td>ynat-v1_train_06977</td>\n",
              "      <td>KT 28㎓ 대역에서 5G 네트워크 현장 검증 성공</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2020.01.15. 오전 10:40</td>\n",
              "      <td>[(KT, SL, 0, 2), (28, SN, 3, 2), (㎓, SW, 5, 1)...</td>\n",
              "      <td>[네트워크, 현장, 검증, 성공]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6980</th>\n",
              "      <td>ynat-v1_train_06980</td>\n",
              "      <td>태양열로 공기 중 물 얻는다…물 부족 국가에 유용</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2017.04.14. 오전 3:00</td>\n",
              "      <td>[(태양열, NNG, 0, 3), (로, JKB, 3, 1), (공기, NNG, 5...</td>\n",
              "      <td>[태양열, 공기, 부족, 국가, 유용]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6984</th>\n",
              "      <td>ynat-v1_train_06984</td>\n",
              "      <td>슬로우슬립 해저에서 첫 관측</td>\n",
              "      <td>0</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.05.06. 오전 3:00</td>\n",
              "      <td>[(슬로우, NNG, 0, 3), (슬립, NNG, 3, 2), (해저, NNG, ...</td>\n",
              "      <td>[슬로우, 슬립, 해저, 관측]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 7 columns</p>\n",
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              "                                                    [key], {});\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 180
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "it_science_cnt = list(it_science.loc[:, 'text_pos_filter'])\n",
        "it_science_cnt = [data for inner_list in it_science_cnt for data in inner_list]\n",
        "it_science_cnt = word_count(it_science_cnt)\n",
        "it_science_cnt[:30]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wh1M9wnpp9s8",
        "outputId": "9fb58360-e6db-4c78-cf5c-f71aab73fa77"
      },
      "execution_count": 181,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('출시', 100),\n",
              " ('개발', 80),\n",
              " ('기술', 74),\n",
              " ('종합', 69),\n",
              " ('삼성', 47),\n",
              " ('스마트폰', 38),\n",
              " ('네이버', 35),\n",
              " ('공개', 35),\n",
              " ('국내', 33),\n",
              " ('게시판', 32),\n",
              " ('서비스', 31),\n",
              " ('데이터', 27),\n",
              " ('한국', 26),\n",
              " ('구글', 25),\n",
              " ('돌파', 25),\n",
              " ('연구', 25),\n",
              " ('판매', 24),\n",
              " ('인터넷', 24),\n",
              " ('갤럭시', 24),\n",
              " ('영상', 23),\n",
              " ('스마트', 23),\n",
              " ('카카오', 23),\n",
              " ('아이폰', 23),\n",
              " ('통신', 22),\n",
              " ('상용', 22),\n",
              " ('가능', 21),\n",
              " ('세계', 21),\n",
              " ('애플', 21),\n",
              " ('과학', 20),\n",
              " ('기능', 20)]"
            ]
          },
          "metadata": {},
          "execution_count": 181
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(it_science_cnt)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uLOwf836qecw",
        "outputId": "d791e37e-4d90-4abb-ac26-aa5db724d82f"
      },
      "execution_count": 182,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2713"
            ]
          },
          "metadata": {},
          "execution_count": 182
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "it_science_df = pd.DataFrame(it_science_cnt,columns=['word','cnt'])\n",
        "it_science_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "ksLGLNwPqjL2",
        "outputId": "c37f7bc4-c72c-4703-9157-346601234417"
      },
      "execution_count": 183,
      "outputs": [
        {
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            "text/plain": [
              "     word  cnt\n",
              "0      출시  100\n",
              "1      개발   80\n",
              "2      기술   74\n",
              "3      종합   69\n",
              "4      삼성   47\n",
              "...   ...  ...\n",
              "2708  이미지    1\n",
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              "2710  슬로우    1\n",
              "2711   슬립    1\n",
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              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 183
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "it_science_drop_df = it_science_df[it_science_df['cnt']>9]\n",
        "it_science_drop_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "hzX-7DM0qqAx",
        "outputId": "c35861e4-bb68-413d-d359-45ae36185abc"
      },
      "execution_count": 184,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    word  cnt\n",
              "0     출시  100\n",
              "1     개발   80\n",
              "2     기술   74\n",
              "3     종합   69\n",
              "4     삼성   47\n",
              "..   ...  ...\n",
              "84    공동   10\n",
              "85    확인   10\n",
              "86   알파고   10\n",
              "87    활용   10\n",
              "88  프리미엄   10\n",
              "\n",
              "[89 rows x 2 columns]"
            ],
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              "                                                    [key], {});\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-20c967ed-0450-4c47-bfe1-14a90ee89602 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 184
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "it_science_df.to_csv('it_science_df.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "AoefQo8Eq50N"
      },
      "execution_count": 185,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "it_science_drop_df.to_csv('it_science_drop_df.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "Eigr05TarO9J"
      },
      "execution_count": 186,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 1) economy\n"
      ],
      "metadata": {
        "id": "9v5Pt-y-4-W0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "economy['text_pos_tagging'] = economy['text'].progress_apply(lambda x: pos_tagging(x))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f82ab7a6-726f-47cd-cd54-ebec32710fd8",
        "id": "7Q1jvPed5ssD"
      },
      "execution_count": 187,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 1000/1000 [00:01<00:00, 935.74it/s]\n",
            "<ipython-input-187-d3cb0eeec80e>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  economy['text_pos_tagging'] = economy['text'].progress_apply(lambda x: pos_tagging(x))\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "economy"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "outputId": "51e8760e-823f-4108-ffe2-74fa67dd4953",
        "id": "h4aidsqa5ssD"
      },
      "execution_count": 188,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       ID                          text  target  \\\n",
              "0     ynat-v1_train_00000     개포2단지 분양 앞두고 개포지구 재건축 불붙어       1   \n",
              "6     ynat-v1_train_00006   콜마비앤에이치 작년 영업익 352억원…54.5%↑       1   \n",
              "7     ynat-v1_train_00007    SOil 1조2천억원 경유·납사·항공유 공급계약       1   \n",
              "8     ynat-v1_train_00008      카카오·삼성화재 디지털 손해보험사 설립 추진       1   \n",
              "11    ynat-v1_train_00011         그래픽 편볍증여 통한 부동산 취득 사례       1   \n",
              "...                   ...                           ...     ...   \n",
              "6969  ynat-v1_train_06969                       소녀상과 함께       1   \n",
              "6974  ynat-v1_train_06974            그래픽 주간 아파트값 변동률 추이       1   \n",
              "6978  ynat-v1_train_06978  SK텔레콤 기기오처노배궈니면 스마트호 묘금 걱쩡 끋       1   \n",
              "6987  ynat-v1_train_06987   게시판 유안타증권 해외주식 비과세펀드 출시 이벤트       1   \n",
              "6992  ynat-v1_train_06992     HSD엔진 3분기 영업손실 130억원…적자전환       1   \n",
              "\n",
              "                                                    url                  date  \\\n",
              "0     https://news.naver.com/main/read.nhn?mode=LS2D...  2016.03.16. 오전 11:37   \n",
              "6     https://news.naver.com/main/read.nhn?mode=LS2D...   2016.01.18. 오후 4:45   \n",
              "7     https://news.naver.com/main/read.nhn?mode=LS2D...  2017.01.05. 오전 10:21   \n",
              "8     https://news.naver.com/main/read.nhn?mode=LS2D...  2019.10.23. 오전 10:49   \n",
              "11    https://news.naver.com/main/read.nhn?mode=LS2D...   2019.11.12. 오후 3:06   \n",
              "...                                                 ...                   ...   \n",
              "6969  https://news.naver.com/main/read.nhn?mode=LS2D...   2019.11.22. 오후 5:02   \n",
              "6974  https://news.naver.com/main/read.nhn?mode=LS2D...   2020.12.31. 오후 2:18   \n",
              "6978  https://news.naver.com/main/read.nhn?mode=LS2D...  2016.10.24. 오전 10:36   \n",
              "6987  https://news.naver.com/main/read.nhn?mode=LS2D...  2016.02.29. 오전 10:15   \n",
              "6992  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.11.12. 오후 4:37   \n",
              "\n",
              "                                       text_pos_tagging  \\\n",
              "0     [(개포, NNP, 0, 2), (2, SN, 2, 1), (단지, NNG, 3, ...   \n",
              "6     [(콜, NNG, 0, 1), (마비, NNG, 1, 2), (앤, NNG, 3, ...   \n",
              "7     [(SOil, SL, 0, 4), (1, SN, 5, 1), (조, NR, 6, 1...   \n",
              "8     [(카카오, NNP, 0, 3), (·, SP, 3, 1), (삼성화재, NNP, ...   \n",
              "11    [(그래픽, NNG, 0, 3), (편볍, NNG, 4, 2), (증여, NNG, ...   \n",
              "...                                                 ...   \n",
              "6969  [(소녀상, NNG, 0, 3), (과, JKB, 3, 1), (함께, MAG, 5...   \n",
              "6974  [(그래픽, NNG, 0, 3), (주간, NNG, 4, 2), (아파트값, NNG...   \n",
              "6978  [(SK텔레콤, NNP, 0, 5), (기기오처노배궈니면, NNP, 6, 9), (...   \n",
              "6987  [(게시판, NNG, 0, 3), (유안타증권, NNP, 4, 5), (해외, NN...   \n",
              "6992  [(HSD, SL, 0, 3), (엔진, NNG, 3, 2), (3, SN, 6, ...   \n",
              "\n",
              "                            text_pos_filter  \n",
              "0        [개포, 단지, 분양, 앞두다, 개포, 지구, 건축, 불붙다]  \n",
              "6                        [마비, 에이치, 작년, 영업익]  \n",
              "7                     [경유, 납사, 항공유, 공급, 계약]  \n",
              "8         [카카오, 삼성화재, 디지털, 손해, 보험사, 설립, 추진]  \n",
              "11          [그래픽, 편볍, 증여, 통하다, 부동산, 취득, 사례]  \n",
              "...                                     ...  \n",
              "6969                                  [소녀상]  \n",
              "6974                [그래픽, 주간, 아파트값, 변동, 추이]  \n",
              "6978       [SK텔레콤, 기기오처노배궈니면, 스마트호, 묘금, 걱쩡]  \n",
              "6987  [게시판, 유안타증권, 해외, 주식, 과세, 펀드, 출시, 이벤트]  \n",
              "6992               [엔진, 분기, 영업, 손실, 적자, 전환]  \n",
              "\n",
              "[1000 rows x 7 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-98a58bc7-32a1-4fbf-8363-23f86211fb61\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
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              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>text</th>\n",
              "      <th>target</th>\n",
              "      <th>url</th>\n",
              "      <th>date</th>\n",
              "      <th>text_pos_tagging</th>\n",
              "      <th>text_pos_filter</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ynat-v1_train_00000</td>\n",
              "      <td>개포2단지 분양 앞두고 개포지구 재건축 불붙어</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.03.16. 오전 11:37</td>\n",
              "      <td>[(개포, NNP, 0, 2), (2, SN, 2, 1), (단지, NNG, 3, ...</td>\n",
              "      <td>[개포, 단지, 분양, 앞두다, 개포, 지구, 건축, 불붙다]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>ynat-v1_train_00006</td>\n",
              "      <td>콜마비앤에이치 작년 영업익 352억원…54.5%↑</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.01.18. 오후 4:45</td>\n",
              "      <td>[(콜, NNG, 0, 1), (마비, NNG, 1, 2), (앤, NNG, 3, ...</td>\n",
              "      <td>[마비, 에이치, 작년, 영업익]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>ynat-v1_train_00007</td>\n",
              "      <td>SOil 1조2천억원 경유·납사·항공유 공급계약</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2017.01.05. 오전 10:21</td>\n",
              "      <td>[(SOil, SL, 0, 4), (1, SN, 5, 1), (조, NR, 6, 1...</td>\n",
              "      <td>[경유, 납사, 항공유, 공급, 계약]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>ynat-v1_train_00008</td>\n",
              "      <td>카카오·삼성화재 디지털 손해보험사 설립 추진</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.10.23. 오전 10:49</td>\n",
              "      <td>[(카카오, NNP, 0, 3), (·, SP, 3, 1), (삼성화재, NNP, ...</td>\n",
              "      <td>[카카오, 삼성화재, 디지털, 손해, 보험사, 설립, 추진]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>ynat-v1_train_00011</td>\n",
              "      <td>그래픽 편볍증여 통한 부동산 취득 사례</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.11.12. 오후 3:06</td>\n",
              "      <td>[(그래픽, NNG, 0, 3), (편볍, NNG, 4, 2), (증여, NNG, ...</td>\n",
              "      <td>[그래픽, 편볍, 증여, 통하다, 부동산, 취득, 사례]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6969</th>\n",
              "      <td>ynat-v1_train_06969</td>\n",
              "      <td>소녀상과 함께</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.11.22. 오후 5:02</td>\n",
              "      <td>[(소녀상, NNG, 0, 3), (과, JKB, 3, 1), (함께, MAG, 5...</td>\n",
              "      <td>[소녀상]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6974</th>\n",
              "      <td>ynat-v1_train_06974</td>\n",
              "      <td>그래픽 주간 아파트값 변동률 추이</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2020.12.31. 오후 2:18</td>\n",
              "      <td>[(그래픽, NNG, 0, 3), (주간, NNG, 4, 2), (아파트값, NNG...</td>\n",
              "      <td>[그래픽, 주간, 아파트값, 변동, 추이]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6978</th>\n",
              "      <td>ynat-v1_train_06978</td>\n",
              "      <td>SK텔레콤 기기오처노배궈니면 스마트호 묘금 걱쩡 끋</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.10.24. 오전 10:36</td>\n",
              "      <td>[(SK텔레콤, NNP, 0, 5), (기기오처노배궈니면, NNP, 6, 9), (...</td>\n",
              "      <td>[SK텔레콤, 기기오처노배궈니면, 스마트호, 묘금, 걱쩡]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6987</th>\n",
              "      <td>ynat-v1_train_06987</td>\n",
              "      <td>게시판 유안타증권 해외주식 비과세펀드 출시 이벤트</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.02.29. 오전 10:15</td>\n",
              "      <td>[(게시판, NNG, 0, 3), (유안타증권, NNP, 4, 5), (해외, NN...</td>\n",
              "      <td>[게시판, 유안타증권, 해외, 주식, 과세, 펀드, 출시, 이벤트]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6992</th>\n",
              "      <td>ynat-v1_train_06992</td>\n",
              "      <td>HSD엔진 3분기 영업손실 130억원…적자전환</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.11.12. 오후 4:37</td>\n",
              "      <td>[(HSD, SL, 0, 3), (엔진, NNG, 3, 2), (3, SN, 6, ...</td>\n",
              "      <td>[엔진, 분기, 영업, 손실, 적자, 전환]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 7 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "    .colab-df-convert:hover {\n",
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              "        document.querySelector('#df-98a58bc7-32a1-4fbf-8363-23f86211fb61 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-98a58bc7-32a1-4fbf-8363-23f86211fb61');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "  </div>\n",
              "\n",
              "\n",
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              "            title=\"Suggest charts\"\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
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              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-62d2741d-5bd4-4c0e-80cb-216a73e1e565 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 188
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "economy['text_pos_filter'] = pos_filter(economy,'text_pos_tagging')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "bc321b0c-e8cc-499f-e92a-fbc63973a048",
        "id": "Pv5UdrRc5ssD"
      },
      "execution_count": 189,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "1000it [00:00, 15336.56it/s]\n",
            "<ipython-input-189-ecdbed593eca>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  economy['text_pos_filter'] = pos_filter(economy,'text_pos_tagging')\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "economy"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "outputId": "f6f30b5a-6e37-408b-8cfa-159b89bea148",
        "id": "YYM-g6kL5ssE"
      },
      "execution_count": 190,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       ID                          text  target  \\\n",
              "0     ynat-v1_train_00000     개포2단지 분양 앞두고 개포지구 재건축 불붙어       1   \n",
              "6     ynat-v1_train_00006   콜마비앤에이치 작년 영업익 352억원…54.5%↑       1   \n",
              "7     ynat-v1_train_00007    SOil 1조2천억원 경유·납사·항공유 공급계약       1   \n",
              "8     ynat-v1_train_00008      카카오·삼성화재 디지털 손해보험사 설립 추진       1   \n",
              "11    ynat-v1_train_00011         그래픽 편볍증여 통한 부동산 취득 사례       1   \n",
              "...                   ...                           ...     ...   \n",
              "6969  ynat-v1_train_06969                       소녀상과 함께       1   \n",
              "6974  ynat-v1_train_06974            그래픽 주간 아파트값 변동률 추이       1   \n",
              "6978  ynat-v1_train_06978  SK텔레콤 기기오처노배궈니면 스마트호 묘금 걱쩡 끋       1   \n",
              "6987  ynat-v1_train_06987   게시판 유안타증권 해외주식 비과세펀드 출시 이벤트       1   \n",
              "6992  ynat-v1_train_06992     HSD엔진 3분기 영업손실 130억원…적자전환       1   \n",
              "\n",
              "                                                    url                  date  \\\n",
              "0     https://news.naver.com/main/read.nhn?mode=LS2D...  2016.03.16. 오전 11:37   \n",
              "6     https://news.naver.com/main/read.nhn?mode=LS2D...   2016.01.18. 오후 4:45   \n",
              "7     https://news.naver.com/main/read.nhn?mode=LS2D...  2017.01.05. 오전 10:21   \n",
              "8     https://news.naver.com/main/read.nhn?mode=LS2D...  2019.10.23. 오전 10:49   \n",
              "11    https://news.naver.com/main/read.nhn?mode=LS2D...   2019.11.12. 오후 3:06   \n",
              "...                                                 ...                   ...   \n",
              "6969  https://news.naver.com/main/read.nhn?mode=LS2D...   2019.11.22. 오후 5:02   \n",
              "6974  https://news.naver.com/main/read.nhn?mode=LS2D...   2020.12.31. 오후 2:18   \n",
              "6978  https://news.naver.com/main/read.nhn?mode=LS2D...  2016.10.24. 오전 10:36   \n",
              "6987  https://news.naver.com/main/read.nhn?mode=LS2D...  2016.02.29. 오전 10:15   \n",
              "6992  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.11.12. 오후 4:37   \n",
              "\n",
              "                                       text_pos_tagging  \\\n",
              "0     [(개포, NNP, 0, 2), (2, SN, 2, 1), (단지, NNG, 3, ...   \n",
              "6     [(콜, NNG, 0, 1), (마비, NNG, 1, 2), (앤, NNG, 3, ...   \n",
              "7     [(SOil, SL, 0, 4), (1, SN, 5, 1), (조, NR, 6, 1...   \n",
              "8     [(카카오, NNP, 0, 3), (·, SP, 3, 1), (삼성화재, NNP, ...   \n",
              "11    [(그래픽, NNG, 0, 3), (편볍, NNG, 4, 2), (증여, NNG, ...   \n",
              "...                                                 ...   \n",
              "6969  [(소녀상, NNG, 0, 3), (과, JKB, 3, 1), (함께, MAG, 5...   \n",
              "6974  [(그래픽, NNG, 0, 3), (주간, NNG, 4, 2), (아파트값, NNG...   \n",
              "6978  [(SK텔레콤, NNP, 0, 5), (기기오처노배궈니면, NNP, 6, 9), (...   \n",
              "6987  [(게시판, NNG, 0, 3), (유안타증권, NNP, 4, 5), (해외, NN...   \n",
              "6992  [(HSD, SL, 0, 3), (엔진, NNG, 3, 2), (3, SN, 6, ...   \n",
              "\n",
              "                            text_pos_filter  \n",
              "0        [개포, 단지, 분양, 앞두다, 개포, 지구, 건축, 불붙다]  \n",
              "6                        [마비, 에이치, 작년, 영업익]  \n",
              "7                     [경유, 납사, 항공유, 공급, 계약]  \n",
              "8         [카카오, 삼성화재, 디지털, 손해, 보험사, 설립, 추진]  \n",
              "11          [그래픽, 편볍, 증여, 통하다, 부동산, 취득, 사례]  \n",
              "...                                     ...  \n",
              "6969                                  [소녀상]  \n",
              "6974                [그래픽, 주간, 아파트값, 변동, 추이]  \n",
              "6978       [SK텔레콤, 기기오처노배궈니면, 스마트호, 묘금, 걱쩡]  \n",
              "6987  [게시판, 유안타증권, 해외, 주식, 과세, 펀드, 출시, 이벤트]  \n",
              "6992               [엔진, 분기, 영업, 손실, 적자, 전환]  \n",
              "\n",
              "[1000 rows x 7 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-4ae9b371-3483-4471-bb9b-c0d6492e3fa7\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>text</th>\n",
              "      <th>target</th>\n",
              "      <th>url</th>\n",
              "      <th>date</th>\n",
              "      <th>text_pos_tagging</th>\n",
              "      <th>text_pos_filter</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ynat-v1_train_00000</td>\n",
              "      <td>개포2단지 분양 앞두고 개포지구 재건축 불붙어</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.03.16. 오전 11:37</td>\n",
              "      <td>[(개포, NNP, 0, 2), (2, SN, 2, 1), (단지, NNG, 3, ...</td>\n",
              "      <td>[개포, 단지, 분양, 앞두다, 개포, 지구, 건축, 불붙다]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>ynat-v1_train_00006</td>\n",
              "      <td>콜마비앤에이치 작년 영업익 352억원…54.5%↑</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.01.18. 오후 4:45</td>\n",
              "      <td>[(콜, NNG, 0, 1), (마비, NNG, 1, 2), (앤, NNG, 3, ...</td>\n",
              "      <td>[마비, 에이치, 작년, 영업익]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>ynat-v1_train_00007</td>\n",
              "      <td>SOil 1조2천억원 경유·납사·항공유 공급계약</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2017.01.05. 오전 10:21</td>\n",
              "      <td>[(SOil, SL, 0, 4), (1, SN, 5, 1), (조, NR, 6, 1...</td>\n",
              "      <td>[경유, 납사, 항공유, 공급, 계약]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>ynat-v1_train_00008</td>\n",
              "      <td>카카오·삼성화재 디지털 손해보험사 설립 추진</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.10.23. 오전 10:49</td>\n",
              "      <td>[(카카오, NNP, 0, 3), (·, SP, 3, 1), (삼성화재, NNP, ...</td>\n",
              "      <td>[카카오, 삼성화재, 디지털, 손해, 보험사, 설립, 추진]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>ynat-v1_train_00011</td>\n",
              "      <td>그래픽 편볍증여 통한 부동산 취득 사례</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.11.12. 오후 3:06</td>\n",
              "      <td>[(그래픽, NNG, 0, 3), (편볍, NNG, 4, 2), (증여, NNG, ...</td>\n",
              "      <td>[그래픽, 편볍, 증여, 통하다, 부동산, 취득, 사례]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6969</th>\n",
              "      <td>ynat-v1_train_06969</td>\n",
              "      <td>소녀상과 함께</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.11.22. 오후 5:02</td>\n",
              "      <td>[(소녀상, NNG, 0, 3), (과, JKB, 3, 1), (함께, MAG, 5...</td>\n",
              "      <td>[소녀상]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6974</th>\n",
              "      <td>ynat-v1_train_06974</td>\n",
              "      <td>그래픽 주간 아파트값 변동률 추이</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2020.12.31. 오후 2:18</td>\n",
              "      <td>[(그래픽, NNG, 0, 3), (주간, NNG, 4, 2), (아파트값, NNG...</td>\n",
              "      <td>[그래픽, 주간, 아파트값, 변동, 추이]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6978</th>\n",
              "      <td>ynat-v1_train_06978</td>\n",
              "      <td>SK텔레콤 기기오처노배궈니면 스마트호 묘금 걱쩡 끋</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.10.24. 오전 10:36</td>\n",
              "      <td>[(SK텔레콤, NNP, 0, 5), (기기오처노배궈니면, NNP, 6, 9), (...</td>\n",
              "      <td>[SK텔레콤, 기기오처노배궈니면, 스마트호, 묘금, 걱쩡]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6987</th>\n",
              "      <td>ynat-v1_train_06987</td>\n",
              "      <td>게시판 유안타증권 해외주식 비과세펀드 출시 이벤트</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.02.29. 오전 10:15</td>\n",
              "      <td>[(게시판, NNG, 0, 3), (유안타증권, NNP, 4, 5), (해외, NN...</td>\n",
              "      <td>[게시판, 유안타증권, 해외, 주식, 과세, 펀드, 출시, 이벤트]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6992</th>\n",
              "      <td>ynat-v1_train_06992</td>\n",
              "      <td>HSD엔진 3분기 영업손실 130억원…적자전환</td>\n",
              "      <td>1</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.11.12. 오후 4:37</td>\n",
              "      <td>[(HSD, SL, 0, 3), (엔진, NNG, 3, 2), (3, SN, 6, ...</td>\n",
              "      <td>[엔진, 분기, 영업, 손실, 적자, 전환]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 7 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "    .colab-df-buttons div {\n",
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              "    [theme=dark] .colab-df-convert {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-4ae9b371-3483-4471-bb9b-c0d6492e3fa7 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-4ae9b371-3483-4471-bb9b-c0d6492e3fa7');\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c3f7c427-b09d-4806-9e09-db5ad2f2b695')\"\n",
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              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
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              "      --disabled-fill-color: #AAA;\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
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              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
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              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-c3f7c427-b09d-4806-9e09-db5ad2f2b695 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 190
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "economy_cnt = list(economy.loc[:, 'text_pos_filter'])\n",
        "economy_cnt = [data for inner_list in economy_cnt for data in inner_list]\n",
        "economy_cnt = word_count(economy_cnt)\n",
        "economy_cnt[:30]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6786ea1b-e78c-4540-910a-aa11b9b2363f",
        "id": "zOynqkuj5ssE"
      },
      "execution_count": 191,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('종합', 92),\n",
              " ('분기', 91),\n",
              " ('투자', 71),\n",
              " ('작년', 48),\n",
              " ('실적', 44),\n",
              " ('시장', 44),\n",
              " ('금융', 42),\n",
              " ('출시', 37),\n",
              " ('영업익', 36),\n",
              " ('특징', 35),\n",
              " ('증가', 35),\n",
              " ('금리', 34),\n",
              " ('올해', 33),\n",
              " ('게시판', 33),\n",
              " ('코스피', 32),\n",
              " ('대출', 31),\n",
              " ('상승', 30),\n",
              " ('증권', 30),\n",
              " ('주식', 29),\n",
              " ('달러', 29),\n",
              " ('목표', 29),\n",
              " ('기업', 28),\n",
              " ('하락', 26),\n",
              " ('삼성전자', 24),\n",
              " ('상장', 24),\n",
              " ('영업', 24),\n",
              " ('은행', 24),\n",
              " ('펀드', 23),\n",
              " ('규모', 23),\n",
              " ('이익', 23)]"
            ]
          },
          "metadata": {},
          "execution_count": 191
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(economy_cnt)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "871b1606-1475-41a0-bc7f-25acc1d5c05b",
        "id": "oQGC1Y5s5ssE"
      },
      "execution_count": 192,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2681"
            ]
          },
          "metadata": {},
          "execution_count": 192
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "economy_df = pd.DataFrame(economy_cnt,columns=['word','cnt'])\n",
        "economy_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "outputId": "5e62950f-7764-4c88-9923-bc4f457c1851",
        "id": "wnYJxmtb5ssE"
      },
      "execution_count": 193,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "           word  cnt\n",
              "0            종합   92\n",
              "1            분기   91\n",
              "2            투자   71\n",
              "3            작년   48\n",
              "4            실적   44\n",
              "...         ...  ...\n",
              "2676        소녀상    1\n",
              "2677  기기오처노배궈니면    1\n",
              "2678       스마트호    1\n",
              "2679         묘금    1\n",
              "2680         걱쩡    1\n",
              "\n",
              "[2681 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-a1cd5d98-03e7-4bf4-801f-e7d0adb6c185\" class=\"colab-df-container\">\n",
              "    <div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>cnt</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>종합</td>\n",
              "      <td>92</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>분기</td>\n",
              "      <td>91</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>투자</td>\n",
              "      <td>71</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>작년</td>\n",
              "      <td>48</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>실적</td>\n",
              "      <td>44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
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              "      <th>2676</th>\n",
              "      <td>소녀상</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2677</th>\n",
              "      <td>기기오처노배궈니면</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2678</th>\n",
              "      <td>스마트호</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2679</th>\n",
              "      <td>묘금</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2680</th>\n",
              "      <td>걱쩡</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2681 rows × 2 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a1cd5d98-03e7-4bf4-801f-e7d0adb6c185')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-a1cd5d98-03e7-4bf4-801f-e7d0adb6c185 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-a1cd5d98-03e7-4bf4-801f-e7d0adb6c185');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-262a6ee5-6a84-4be0-bddd-7af5eb0c661c\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-262a6ee5-6a84-4be0-bddd-7af5eb0c661c')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-262a6ee5-6a84-4be0-bddd-7af5eb0c661c button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 193
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "economy_drop_df = economy_df[economy_df['cnt']>9]\n",
        "economy_drop_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "outputId": "53b87f67-e6e1-4888-83c6-20a952626b75",
        "id": "3kkc7gCd5ssE"
      },
      "execution_count": 194,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    word  cnt\n",
              "0     종합   92\n",
              "1     분기   91\n",
              "2     투자   71\n",
              "3     작년   48\n",
              "4     실적   44\n",
              "..   ...  ...\n",
              "101   개월   10\n",
              "102   추가   10\n",
              "103   개선   10\n",
              "104   업체   10\n",
              "105   수익   10\n",
              "\n",
              "[106 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-46a176a1-2a85-4b88-af48-5822773d079e\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>cnt</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>종합</td>\n",
              "      <td>92</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>분기</td>\n",
              "      <td>91</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>투자</td>\n",
              "      <td>71</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>작년</td>\n",
              "      <td>48</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>실적</td>\n",
              "      <td>44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>101</th>\n",
              "      <td>개월</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>102</th>\n",
              "      <td>추가</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>103</th>\n",
              "      <td>개선</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>104</th>\n",
              "      <td>업체</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>105</th>\n",
              "      <td>수익</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>106 rows × 2 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-46a176a1-2a85-4b88-af48-5822773d079e')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-46a176a1-2a85-4b88-af48-5822773d079e button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-46a176a1-2a85-4b88-af48-5822773d079e');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-9abc5135-06cb-40cb-91fd-b4a6f98076ec\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-9abc5135-06cb-40cb-91fd-b4a6f98076ec')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-9abc5135-06cb-40cb-91fd-b4a6f98076ec button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 194
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "economy_df.to_csv('economy_df.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "TLVmNhDJ5ssE"
      },
      "execution_count": 195,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "economy_drop_df.to_csv('economy_drop_df.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "QFYDIeKe5ssE"
      },
      "execution_count": 196,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 2) society"
      ],
      "metadata": {
        "id": "zs92pOeZ5Edp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "society['text_pos_tagging'] = society['text'].progress_apply(lambda x: pos_tagging(x))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "bceb8a91-0163-42c6-cd06-c840533497d1",
        "id": "z1wAb9lT6k8r"
      },
      "execution_count": 197,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 1000/1000 [00:01<00:00, 839.72it/s]\n",
            "<ipython-input-197-f51b3eb34f2e>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  society['text_pos_tagging'] = society['text'].progress_apply(lambda x: pos_tagging(x))\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "society"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "outputId": "4192bff9-6ba1-4f2e-dc40-429ba81468bd",
        "id": "ZJZn74936k8s"
      },
      "execution_count": 198,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       ID                             text  target  \\\n",
              "18    ynat-v1_train_00018                  조배숙 중앙위 정례회의 주재       2   \n",
              "25    ynat-v1_train_00025    과기정통부 올해 이동통신 데이터요금 18% 인하할 것       2   \n",
              "28    ynat-v1_train_00028  파리바게뜨 갈등 봉합됐지만…긍정적 발판 vs 부정적 선례       2   \n",
              "35    ynat-v1_train_00035       與 대구·경북 공천면접심사…현역 vs 진박 격돌       2   \n",
              "41    ynat-v1_train_00041        증명사진 없어도 재외공관서 전자여권 신청 가능       2   \n",
              "...                   ...                              ...     ...   \n",
              "6955  ynat-v1_train_06955    1608년 지도가 말하는 사실 남중국해는 상인의 바다       2   \n",
              "6960  ynat-v1_train_06960          해양경찰 새 옷을 입고 국민에게 다가갑니다       2   \n",
              "6965  ynat-v1_train_06965            발표하는 홍민정 사교육걱정없는세상 대표       2   \n",
              "6973  ynat-v1_train_06973                 언론노조 창립 30주년 기념식       2   \n",
              "6982  ynat-v1_train_06982     주민 피해 업또록 쪼용히 관광해요…고교생드리 캠페인       2   \n",
              "\n",
              "                                                    url                  date  \\\n",
              "18    https://news.naver.com/main/read.nhn?mode=LS2D...   2018.02.02. 오전 8:54   \n",
              "25    https://news.naver.com/main/read.nhn?mode=LS2D...   2018.01.24. 오전 9:00   \n",
              "28    https://news.naver.com/main/read.nhn?mode=LS2D...   2018.01.14. 오전 6:07   \n",
              "35    https://news.naver.com/main/read.nhn?mode=LS2D...   2016.02.26. 오전 5:00   \n",
              "41    https://news.naver.com/main/read.nhn?mode=LS2D...  2016.12.30. 오전 11:27   \n",
              "...                                                 ...                   ...   \n",
              "6955  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.11.02. 오후 5:04   \n",
              "6960  https://news.naver.com/main/read.nhn?mode=LS2D...   2019.04.19. 오전 9:14   \n",
              "6965  https://news.naver.com/main/read.nhn?mode=LS2D...   2020.03.10. 오후 2:38   \n",
              "6973  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.11.23. 오후 7:57   \n",
              "6982  https://news.naver.com/main/read.nhn?mode=LS2D...  2017.09.29. 오전 11:15   \n",
              "\n",
              "                                       text_pos_tagging  \\\n",
              "18    [(조배숙, NNP, 0, 3), (중앙위, NNG, 4, 3), (정례, NNG,...   \n",
              "25    [(과기, NNP, 0, 2), (정통부, NNG, 2, 3), (올해, NNG, ...   \n",
              "28    [(파리바게뜨, NNP, 0, 5), (갈등, NNG, 6, 2), (봉합, NNG...   \n",
              "35    [(與, SH, 0, 1), (대구, NNP, 2, 2), (·, SP, 4, 1)...   \n",
              "41    [(증명사진, NNG, 0, 4), (없, VA, 5, 1), (어도, EC, 6,...   \n",
              "...                                                 ...   \n",
              "6955  [(1608, SN, 0, 4), (년, NNB, 4, 1), (지도, NNG, 6...   \n",
              "6960  [(해양, NNG, 0, 2), (경찰, NNG, 2, 2), (새, MM, 5, ...   \n",
              "6965  [(발표, NNG, 0, 2), (하, XSV, 2, 1), (는, ETM, 3, ...   \n",
              "6973  [(언론, NNG, 0, 2), (노조, NNG, 2, 2), (창립, NNG, 5...   \n",
              "6982  [(주민, NNG, 0, 2), (피해, NNG, 3, 2), (업또록, NNP, ...   \n",
              "\n",
              "                           text_pos_filter  \n",
              "18                  [조배숙, 중앙위, 정례, 회의, 주재]  \n",
              "25      [과기, 정통부, 올해, 이동, 통신, 데이터, 요금, 인하]  \n",
              "28         [파리바게뜨, 갈등, 봉합, 긍정, 발판, 부정, 선례]  \n",
              "35        [대구, 경북, 공천, 면접, 심사, 현역, 진박, 격돌]  \n",
              "41      [증명사진, 없다, 재외, 공관, 전자, 여권, 신청, 가능]  \n",
              "...                                    ...  \n",
              "6955                    [지도, 남중국해, 상인, 바다]  \n",
              "6960                    [해양, 경찰, 국민, 다가가다]  \n",
              "6965         [발표, 민정, 사교육, 걱정, 없다, 세상, 대표]  \n",
              "6973                 [언론, 노조, 창립, 주년, 기념식]  \n",
              "6982  [주민, 피해, 업또록, 쪼용히, 관광, 고교, 드리다, 캠페인]  \n",
              "\n",
              "[1000 rows x 7 columns]"
            ],
            "text/html": [
              "\n",
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              "    <div>\n",
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              "        vertical-align: middle;\n",
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              "\n",
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              "        vertical-align: top;\n",
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              "\n",
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              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>text</th>\n",
              "      <th>target</th>\n",
              "      <th>url</th>\n",
              "      <th>date</th>\n",
              "      <th>text_pos_tagging</th>\n",
              "      <th>text_pos_filter</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>ynat-v1_train_00018</td>\n",
              "      <td>조배숙 중앙위 정례회의 주재</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.02.02. 오전 8:54</td>\n",
              "      <td>[(조배숙, NNP, 0, 3), (중앙위, NNG, 4, 3), (정례, NNG,...</td>\n",
              "      <td>[조배숙, 중앙위, 정례, 회의, 주재]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>ynat-v1_train_00025</td>\n",
              "      <td>과기정통부 올해 이동통신 데이터요금 18% 인하할 것</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.01.24. 오전 9:00</td>\n",
              "      <td>[(과기, NNP, 0, 2), (정통부, NNG, 2, 3), (올해, NNG, ...</td>\n",
              "      <td>[과기, 정통부, 올해, 이동, 통신, 데이터, 요금, 인하]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>ynat-v1_train_00028</td>\n",
              "      <td>파리바게뜨 갈등 봉합됐지만…긍정적 발판 vs 부정적 선례</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.01.14. 오전 6:07</td>\n",
              "      <td>[(파리바게뜨, NNP, 0, 5), (갈등, NNG, 6, 2), (봉합, NNG...</td>\n",
              "      <td>[파리바게뜨, 갈등, 봉합, 긍정, 발판, 부정, 선례]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>ynat-v1_train_00035</td>\n",
              "      <td>與 대구·경북 공천면접심사…현역 vs 진박 격돌</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.02.26. 오전 5:00</td>\n",
              "      <td>[(與, SH, 0, 1), (대구, NNP, 2, 2), (·, SP, 4, 1)...</td>\n",
              "      <td>[대구, 경북, 공천, 면접, 심사, 현역, 진박, 격돌]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>ynat-v1_train_00041</td>\n",
              "      <td>증명사진 없어도 재외공관서 전자여권 신청 가능</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.12.30. 오전 11:27</td>\n",
              "      <td>[(증명사진, NNG, 0, 4), (없, VA, 5, 1), (어도, EC, 6,...</td>\n",
              "      <td>[증명사진, 없다, 재외, 공관, 전자, 여권, 신청, 가능]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6955</th>\n",
              "      <td>ynat-v1_train_06955</td>\n",
              "      <td>1608년 지도가 말하는 사실 남중국해는 상인의 바다</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.11.02. 오후 5:04</td>\n",
              "      <td>[(1608, SN, 0, 4), (년, NNB, 4, 1), (지도, NNG, 6...</td>\n",
              "      <td>[지도, 남중국해, 상인, 바다]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6960</th>\n",
              "      <td>ynat-v1_train_06960</td>\n",
              "      <td>해양경찰 새 옷을 입고 국민에게 다가갑니다</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.04.19. 오전 9:14</td>\n",
              "      <td>[(해양, NNG, 0, 2), (경찰, NNG, 2, 2), (새, MM, 5, ...</td>\n",
              "      <td>[해양, 경찰, 국민, 다가가다]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6965</th>\n",
              "      <td>ynat-v1_train_06965</td>\n",
              "      <td>발표하는 홍민정 사교육걱정없는세상 대표</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2020.03.10. 오후 2:38</td>\n",
              "      <td>[(발표, NNG, 0, 2), (하, XSV, 2, 1), (는, ETM, 3, ...</td>\n",
              "      <td>[발표, 민정, 사교육, 걱정, 없다, 세상, 대표]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6973</th>\n",
              "      <td>ynat-v1_train_06973</td>\n",
              "      <td>언론노조 창립 30주년 기념식</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.11.23. 오후 7:57</td>\n",
              "      <td>[(언론, NNG, 0, 2), (노조, NNG, 2, 2), (창립, NNG, 5...</td>\n",
              "      <td>[언론, 노조, 창립, 주년, 기념식]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6982</th>\n",
              "      <td>ynat-v1_train_06982</td>\n",
              "      <td>주민 피해 업또록 쪼용히 관광해요…고교생드리 캠페인</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2017.09.29. 오전 11:15</td>\n",
              "      <td>[(주민, NNG, 0, 2), (피해, NNG, 3, 2), (업또록, NNP, ...</td>\n",
              "      <td>[주민, 피해, 업또록, 쪼용히, 관광, 고교, 드리다, 캠페인]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "<p>1000 rows × 7 columns</p>\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-d8901639-28a2-4a41-a475-faf9f8bacb4a');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-810a179c-dac1-465e-8153-6796b81505d9\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-810a179c-dac1-465e-8153-6796b81505d9')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-810a179c-dac1-465e-8153-6796b81505d9 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 198
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "society['text_pos_filter'] = pos_filter(society,'text_pos_tagging')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "db9fef61-2553-4d55-ea99-ed7f7a843671",
        "id": "EFdsP8y06k8s"
      },
      "execution_count": 199,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "1000it [00:00, 13662.94it/s]\n",
            "<ipython-input-199-b51817ef44b0>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  society['text_pos_filter'] = pos_filter(society,'text_pos_tagging')\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "society"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "outputId": "562ab797-34ff-4737-f750-e2a72dbd3f2d",
        "id": "h_QEvGZ76k8s"
      },
      "execution_count": 200,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       ID                             text  target  \\\n",
              "18    ynat-v1_train_00018                  조배숙 중앙위 정례회의 주재       2   \n",
              "25    ynat-v1_train_00025    과기정통부 올해 이동통신 데이터요금 18% 인하할 것       2   \n",
              "28    ynat-v1_train_00028  파리바게뜨 갈등 봉합됐지만…긍정적 발판 vs 부정적 선례       2   \n",
              "35    ynat-v1_train_00035       與 대구·경북 공천면접심사…현역 vs 진박 격돌       2   \n",
              "41    ynat-v1_train_00041        증명사진 없어도 재외공관서 전자여권 신청 가능       2   \n",
              "...                   ...                              ...     ...   \n",
              "6955  ynat-v1_train_06955    1608년 지도가 말하는 사실 남중국해는 상인의 바다       2   \n",
              "6960  ynat-v1_train_06960          해양경찰 새 옷을 입고 국민에게 다가갑니다       2   \n",
              "6965  ynat-v1_train_06965            발표하는 홍민정 사교육걱정없는세상 대표       2   \n",
              "6973  ynat-v1_train_06973                 언론노조 창립 30주년 기념식       2   \n",
              "6982  ynat-v1_train_06982     주민 피해 업또록 쪼용히 관광해요…고교생드리 캠페인       2   \n",
              "\n",
              "                                                    url                  date  \\\n",
              "18    https://news.naver.com/main/read.nhn?mode=LS2D...   2018.02.02. 오전 8:54   \n",
              "25    https://news.naver.com/main/read.nhn?mode=LS2D...   2018.01.24. 오전 9:00   \n",
              "28    https://news.naver.com/main/read.nhn?mode=LS2D...   2018.01.14. 오전 6:07   \n",
              "35    https://news.naver.com/main/read.nhn?mode=LS2D...   2016.02.26. 오전 5:00   \n",
              "41    https://news.naver.com/main/read.nhn?mode=LS2D...  2016.12.30. 오전 11:27   \n",
              "...                                                 ...                   ...   \n",
              "6955  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.11.02. 오후 5:04   \n",
              "6960  https://news.naver.com/main/read.nhn?mode=LS2D...   2019.04.19. 오전 9:14   \n",
              "6965  https://news.naver.com/main/read.nhn?mode=LS2D...   2020.03.10. 오후 2:38   \n",
              "6973  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.11.23. 오후 7:57   \n",
              "6982  https://news.naver.com/main/read.nhn?mode=LS2D...  2017.09.29. 오전 11:15   \n",
              "\n",
              "                                       text_pos_tagging  \\\n",
              "18    [(조배숙, NNP, 0, 3), (중앙위, NNG, 4, 3), (정례, NNG,...   \n",
              "25    [(과기, NNP, 0, 2), (정통부, NNG, 2, 3), (올해, NNG, ...   \n",
              "28    [(파리바게뜨, NNP, 0, 5), (갈등, NNG, 6, 2), (봉합, NNG...   \n",
              "35    [(與, SH, 0, 1), (대구, NNP, 2, 2), (·, SP, 4, 1)...   \n",
              "41    [(증명사진, NNG, 0, 4), (없, VA, 5, 1), (어도, EC, 6,...   \n",
              "...                                                 ...   \n",
              "6955  [(1608, SN, 0, 4), (년, NNB, 4, 1), (지도, NNG, 6...   \n",
              "6960  [(해양, NNG, 0, 2), (경찰, NNG, 2, 2), (새, MM, 5, ...   \n",
              "6965  [(발표, NNG, 0, 2), (하, XSV, 2, 1), (는, ETM, 3, ...   \n",
              "6973  [(언론, NNG, 0, 2), (노조, NNG, 2, 2), (창립, NNG, 5...   \n",
              "6982  [(주민, NNG, 0, 2), (피해, NNG, 3, 2), (업또록, NNP, ...   \n",
              "\n",
              "                           text_pos_filter  \n",
              "18                  [조배숙, 중앙위, 정례, 회의, 주재]  \n",
              "25      [과기, 정통부, 올해, 이동, 통신, 데이터, 요금, 인하]  \n",
              "28         [파리바게뜨, 갈등, 봉합, 긍정, 발판, 부정, 선례]  \n",
              "35        [대구, 경북, 공천, 면접, 심사, 현역, 진박, 격돌]  \n",
              "41      [증명사진, 없다, 재외, 공관, 전자, 여권, 신청, 가능]  \n",
              "...                                    ...  \n",
              "6955                    [지도, 남중국해, 상인, 바다]  \n",
              "6960                    [해양, 경찰, 국민, 다가가다]  \n",
              "6965         [발표, 민정, 사교육, 걱정, 없다, 세상, 대표]  \n",
              "6973                 [언론, 노조, 창립, 주년, 기념식]  \n",
              "6982  [주민, 피해, 업또록, 쪼용히, 관광, 고교, 드리다, 캠페인]  \n",
              "\n",
              "[1000 rows x 7 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-07bb6087-ec6a-4ffb-9ed7-a7e7cf4765f8\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>text</th>\n",
              "      <th>target</th>\n",
              "      <th>url</th>\n",
              "      <th>date</th>\n",
              "      <th>text_pos_tagging</th>\n",
              "      <th>text_pos_filter</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>ynat-v1_train_00018</td>\n",
              "      <td>조배숙 중앙위 정례회의 주재</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.02.02. 오전 8:54</td>\n",
              "      <td>[(조배숙, NNP, 0, 3), (중앙위, NNG, 4, 3), (정례, NNG,...</td>\n",
              "      <td>[조배숙, 중앙위, 정례, 회의, 주재]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>ynat-v1_train_00025</td>\n",
              "      <td>과기정통부 올해 이동통신 데이터요금 18% 인하할 것</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.01.24. 오전 9:00</td>\n",
              "      <td>[(과기, NNP, 0, 2), (정통부, NNG, 2, 3), (올해, NNG, ...</td>\n",
              "      <td>[과기, 정통부, 올해, 이동, 통신, 데이터, 요금, 인하]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>ynat-v1_train_00028</td>\n",
              "      <td>파리바게뜨 갈등 봉합됐지만…긍정적 발판 vs 부정적 선례</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.01.14. 오전 6:07</td>\n",
              "      <td>[(파리바게뜨, NNP, 0, 5), (갈등, NNG, 6, 2), (봉합, NNG...</td>\n",
              "      <td>[파리바게뜨, 갈등, 봉합, 긍정, 발판, 부정, 선례]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>ynat-v1_train_00035</td>\n",
              "      <td>與 대구·경북 공천면접심사…현역 vs 진박 격돌</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.02.26. 오전 5:00</td>\n",
              "      <td>[(與, SH, 0, 1), (대구, NNP, 2, 2), (·, SP, 4, 1)...</td>\n",
              "      <td>[대구, 경북, 공천, 면접, 심사, 현역, 진박, 격돌]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>ynat-v1_train_00041</td>\n",
              "      <td>증명사진 없어도 재외공관서 전자여권 신청 가능</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.12.30. 오전 11:27</td>\n",
              "      <td>[(증명사진, NNG, 0, 4), (없, VA, 5, 1), (어도, EC, 6,...</td>\n",
              "      <td>[증명사진, 없다, 재외, 공관, 전자, 여권, 신청, 가능]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6955</th>\n",
              "      <td>ynat-v1_train_06955</td>\n",
              "      <td>1608년 지도가 말하는 사실 남중국해는 상인의 바다</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.11.02. 오후 5:04</td>\n",
              "      <td>[(1608, SN, 0, 4), (년, NNB, 4, 1), (지도, NNG, 6...</td>\n",
              "      <td>[지도, 남중국해, 상인, 바다]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6960</th>\n",
              "      <td>ynat-v1_train_06960</td>\n",
              "      <td>해양경찰 새 옷을 입고 국민에게 다가갑니다</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.04.19. 오전 9:14</td>\n",
              "      <td>[(해양, NNG, 0, 2), (경찰, NNG, 2, 2), (새, MM, 5, ...</td>\n",
              "      <td>[해양, 경찰, 국민, 다가가다]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6965</th>\n",
              "      <td>ynat-v1_train_06965</td>\n",
              "      <td>발표하는 홍민정 사교육걱정없는세상 대표</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2020.03.10. 오후 2:38</td>\n",
              "      <td>[(발표, NNG, 0, 2), (하, XSV, 2, 1), (는, ETM, 3, ...</td>\n",
              "      <td>[발표, 민정, 사교육, 걱정, 없다, 세상, 대표]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6973</th>\n",
              "      <td>ynat-v1_train_06973</td>\n",
              "      <td>언론노조 창립 30주년 기념식</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.11.23. 오후 7:57</td>\n",
              "      <td>[(언론, NNG, 0, 2), (노조, NNG, 2, 2), (창립, NNG, 5...</td>\n",
              "      <td>[언론, 노조, 창립, 주년, 기념식]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6982</th>\n",
              "      <td>ynat-v1_train_06982</td>\n",
              "      <td>주민 피해 업또록 쪼용히 관광해요…고교생드리 캠페인</td>\n",
              "      <td>2</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2017.09.29. 오전 11:15</td>\n",
              "      <td>[(주민, NNG, 0, 2), (피해, NNG, 3, 2), (업또록, NNP, ...</td>\n",
              "      <td>[주민, 피해, 업또록, 쪼용히, 관광, 고교, 드리다, 캠페인]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 7 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-07bb6087-ec6a-4ffb-9ed7-a7e7cf4765f8')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-07bb6087-ec6a-4ffb-9ed7-a7e7cf4765f8 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-07bb6087-ec6a-4ffb-9ed7-a7e7cf4765f8');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-8ef9d42c-27c9-44fd-930d-d8c148939b4f\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-8ef9d42c-27c9-44fd-930d-d8c148939b4f')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-8ef9d42c-27c9-44fd-930d-d8c148939b4f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 200
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "society_cnt = list(society.loc[:, 'text_pos_filter'])\n",
        "society_cnt = [data for inner_list in society_cnt for data in inner_list]\n",
        "society_cnt = word_count(society_cnt)\n",
        "society_cnt[:30]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2e5c69f9-834a-4636-f6c6-a48507394493",
        "id": "M9cifJgn6k8s"
      },
      "execution_count": 201,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('종합', 77),\n",
              " ('게시판', 43),\n",
              " ('코로나', 40),\n",
              " ('지원', 29),\n",
              " ('한국', 24),\n",
              " ('교육', 23),\n",
              " ('노조', 23),\n",
              " ('대표', 21),\n",
              " ('학생', 21),\n",
              " ('광주', 20),\n",
              " ('사장', 20),\n",
              " ('방송', 19),\n",
              " ('부산', 18),\n",
              " ('학교', 17),\n",
              " ('하다', 17),\n",
              " ('기자', 16),\n",
              " ('안전', 16),\n",
              " ('공공', 16),\n",
              " ('일자리', 16),\n",
              " ('노동자', 16),\n",
              " ('뉴스', 15),\n",
              " ('검찰', 15),\n",
              " ('이사', 15),\n",
              " ('대전', 15),\n",
              " ('공무원', 15),\n",
              " ('통신', 14),\n",
              " ('강원', 14),\n",
              " ('대학', 14),\n",
              " ('강화', 14),\n",
              " ('기업', 14)]"
            ]
          },
          "metadata": {},
          "execution_count": 201
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(society_cnt)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "dc7ef4fe-582c-461c-b598-98387cf5d58d",
        "id": "OV5RXFmA6k8s"
      },
      "execution_count": 202,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3473"
            ]
          },
          "metadata": {},
          "execution_count": 202
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "society_df = pd.DataFrame(society_cnt,columns=['word','cnt'])\n",
        "society_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "outputId": "65e8eb00-7ee0-49e2-f285-f19ac39c0f04",
        "id": "5svIj2KJ6k8s"
      },
      "execution_count": 203,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     word  cnt\n",
              "0      종합   77\n",
              "1     게시판   43\n",
              "2     코로나   40\n",
              "3      지원   29\n",
              "4      한국   24\n",
              "...   ...  ...\n",
              "3468   걱정    1\n",
              "3469   세상    1\n",
              "3470  업또록    1\n",
              "3471  쪼용히    1\n",
              "3472  드리다    1\n",
              "\n",
              "[3473 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
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              "      <th>0</th>\n",
              "      <td>종합</td>\n",
              "      <td>77</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>게시판</td>\n",
              "      <td>43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>코로나</td>\n",
              "      <td>40</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>지원</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>한국</td>\n",
              "      <td>24</td>\n",
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              "    <tr>\n",
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              "      <td>세상</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
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              "      <th>3470</th>\n",
              "      <td>업또록</td>\n",
              "      <td>1</td>\n",
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              "    <tr>\n",
              "      <th>3471</th>\n",
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              "      <td>1</td>\n",
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              "    <tr>\n",
              "      <th>3472</th>\n",
              "      <td>드리다</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3473 rows × 2 columns</p>\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "\n",
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              "      fill: #D2E3FC;\n",
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              "\n",
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              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-bc2b7fec-82e3-4107-bbba-d2ddee8ee49d');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "        element.appendChild(docLink);\n",
              "      }\n",
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              "\n",
              "\n",
              "<div id=\"df-124cb3f5-b231-4b1a-9f83-0d2dcc4e51f8\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-124cb3f5-b231-4b1a-9f83-0d2dcc4e51f8')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-124cb3f5-b231-4b1a-9f83-0d2dcc4e51f8 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 203
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "society_drop_df = society_df[society_df['cnt']>9]\n",
        "society_drop_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "outputId": "c2e3f291-6ec4-4d44-af15-5ce1e261f6ae",
        "id": "5ulqO_PR6k8t"
      },
      "execution_count": 204,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   word  cnt\n",
              "0    종합   77\n",
              "1   게시판   43\n",
              "2   코로나   40\n",
              "3    지원   29\n",
              "4    한국   24\n",
              "..  ...  ...\n",
              "78   등교   10\n",
              "79   정책   10\n",
              "80   시민   10\n",
              "81  간담회   10\n",
              "82   주년   10\n",
              "\n",
              "[83 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-7de8e473-37a8-4e0f-bbbb-80e6df21b58f\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>cnt</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>종합</td>\n",
              "      <td>77</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>게시판</td>\n",
              "      <td>43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>코로나</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>지원</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>한국</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>등교</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>정책</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>시민</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>81</th>\n",
              "      <td>간담회</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>주년</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>83 rows × 2 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7de8e473-37a8-4e0f-bbbb-80e6df21b58f')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-7de8e473-37a8-4e0f-bbbb-80e6df21b58f button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-7de8e473-37a8-4e0f-bbbb-80e6df21b58f');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-384105bf-f49d-43e6-8e11-9db25ea23345\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-384105bf-f49d-43e6-8e11-9db25ea23345')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-384105bf-f49d-43e6-8e11-9db25ea23345 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 204
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "society_df.to_csv('society_df.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "cnHlamXx6k8t"
      },
      "execution_count": 205,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "society_drop_df.to_csv('society_drop_df.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "c-d_WotI6k8t"
      },
      "execution_count": 206,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 3) culture"
      ],
      "metadata": {
        "id": "4gFXdIiH5LQC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "culture['text_pos_tagging'] = culture['text'].progress_apply(lambda x: pos_tagging(x))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6ca31f7a-34f2-4afd-964e-f181710f185c",
        "id": "BRJlhgXJ7LJN"
      },
      "execution_count": 207,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 1000/1000 [00:01<00:00, 878.67it/s]\n",
            "<ipython-input-207-75790eefad5c>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  culture['text_pos_tagging'] = culture['text'].progress_apply(lambda x: pos_tagging(x))\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "culture"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "outputId": "6e035c26-800e-402a-ca1b-651c9fcd240d",
        "id": "Jswhbo-q7LJN"
      },
      "execution_count": 208,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       ID                              text  target  \\\n",
              "3     ynat-v1_train_00003            신간 블록체인혁명 2030·남자의 고독사       3   \n",
              "10    ynat-v1_train_00010                폭염 이기는 도심 속 오페라 공연       3   \n",
              "19    ynat-v1_train_00019  경북·여수·정선·창원 관광발전지수 1등급 지역에 새로 선정       3   \n",
              "23    ynat-v1_train_00023            그래픽 부산해남 최장 걷기여행길 남파랑길       3   \n",
              "26    ynat-v1_train_00026        책으로 떠나는 한양도성 순례…성곽길시간여행 출간       3   \n",
              "...                   ...                               ...     ...   \n",
              "6966  ynat-v1_train_06966                신간 식민지 근대감옥 서대문형무소       3   \n",
              "6981  ynat-v1_train_06981                          미세먼지 싫어요       3   \n",
              "6983  ynat-v1_train_06983                 신간 무고한 존재·드롭·유령함대       3   \n",
              "6991  ynat-v1_train_06991             서울시향 슈텐츠 지휘의 정기연주회 성료       3   \n",
              "6999  ynat-v1_train_06999  120년 전 대한제국으로…가을밤 정동에서 시간 여행 떠나다       3   \n",
              "\n",
              "                                                    url                  date  \\\n",
              "3     https://news.naver.com/main/read.nhn?mode=LS2D...  2019.06.13. 오전 11:49   \n",
              "10    https://news.naver.com/main/read.nhn?mode=LS2D...  2018.07.21. 오전 10:15   \n",
              "19    https://news.naver.com/main/read.nhn?mode=LS2D...  2019.12.30. 오전 11:04   \n",
              "23    https://news.naver.com/main/read.nhn?mode=LS2D...   2019.03.25. 오후 4:37   \n",
              "26    https://news.naver.com/main/read.nhn?mode=LS2D...   2017.12.11. 오전 7:30   \n",
              "...                                                 ...                   ...   \n",
              "6966  https://news.naver.com/main/read.nhn?mode=LS2D...   2019.04.12. 오후 3:25   \n",
              "6981  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.01.17. 오후 1:44   \n",
              "6983  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.03.15. 오후 4:00   \n",
              "6991  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.06.24. 오후 4:13   \n",
              "6999  https://news.naver.com/main/read.nhn?mode=LS2D...   2016.10.28. 오후 8:13   \n",
              "\n",
              "                                       text_pos_tagging  \\\n",
              "3     [(신간, NNG, 0, 2), (블록체인, NNP, 3, 4), (혁명, NNG,...   \n",
              "10    [(폭염, NNG, 0, 2), (이기, VV, 3, 2), (는, ETM, 5, ...   \n",
              "19    [(경북, NNP, 0, 2), (·, SP, 2, 1), (여수, NNP, 3, ...   \n",
              "23    [(그래픽, NNG, 0, 3), (부산, NNP, 4, 2), (해남, NNP, ...   \n",
              "26    [(책, NNG, 0, 1), (으로, JKB, 1, 2), (떠나, VV, 4, ...   \n",
              "...                                                 ...   \n",
              "6966  [(신간, NNG, 0, 2), (식민지, NNG, 3, 3), (근대, NNG, ...   \n",
              "6981  [(미세, NNG, 0, 2), (먼지, NNG, 2, 2), (싫, VA, 5, ...   \n",
              "6983  [(신간, NNG, 0, 2), (무고, XR, 3, 2), (하, XSA, 5, ...   \n",
              "6991  [(서울시향, NNP, 0, 4), (슈텐츠, NNP, 5, 3), (지휘, NNG...   \n",
              "6999  [(120, SN, 0, 3), (년, NNB, 3, 1), (전, NNG, 5, ...   \n",
              "\n",
              "                               text_pos_filter  \n",
              "3                      [신간, 블록체인, 혁명, 남자, 고독사]  \n",
              "10                      [폭염, 이기다, 도심, 오페라, 공연]  \n",
              "19    [경북, 여수, 정선, 창원, 관광, 발전, 지수, 등급, 지역, 선정]  \n",
              "23               [그래픽, 부산, 해남, 최장, 걷기, 여행, 남파]  \n",
              "26             [떠나다, 한양도성, 순례, 성곽, 시간, 여행, 출간]  \n",
              "...                                        ...  \n",
              "6966                 [신간, 식민지, 근대, 감옥, 서대문형무소]  \n",
              "6981                              [미세, 먼지, 싫다]  \n",
              "6983                  [신간, 무고, 존재, 드롭, 유령, 함대]  \n",
              "6991                  [서울시향, 슈텐츠, 지휘, 정기, 연주회]  \n",
              "6999              [대한제국, 가을밤, 정동, 시간, 여행, 떠나다]  \n",
              "\n",
              "[1000 rows x 7 columns]"
            ],
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              "  <div id=\"df-61f55723-94e6-4e1d-b557-c17f108c9b33\" class=\"colab-df-container\">\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>text</th>\n",
              "      <th>target</th>\n",
              "      <th>url</th>\n",
              "      <th>date</th>\n",
              "      <th>text_pos_tagging</th>\n",
              "      <th>text_pos_filter</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ynat-v1_train_00003</td>\n",
              "      <td>신간 블록체인혁명 2030·남자의 고독사</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.06.13. 오전 11:49</td>\n",
              "      <td>[(신간, NNG, 0, 2), (블록체인, NNP, 3, 4), (혁명, NNG,...</td>\n",
              "      <td>[신간, 블록체인, 혁명, 남자, 고독사]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>ynat-v1_train_00010</td>\n",
              "      <td>폭염 이기는 도심 속 오페라 공연</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.07.21. 오전 10:15</td>\n",
              "      <td>[(폭염, NNG, 0, 2), (이기, VV, 3, 2), (는, ETM, 5, ...</td>\n",
              "      <td>[폭염, 이기다, 도심, 오페라, 공연]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>ynat-v1_train_00019</td>\n",
              "      <td>경북·여수·정선·창원 관광발전지수 1등급 지역에 새로 선정</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.12.30. 오전 11:04</td>\n",
              "      <td>[(경북, NNP, 0, 2), (·, SP, 2, 1), (여수, NNP, 3, ...</td>\n",
              "      <td>[경북, 여수, 정선, 창원, 관광, 발전, 지수, 등급, 지역, 선정]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>ynat-v1_train_00023</td>\n",
              "      <td>그래픽 부산해남 최장 걷기여행길 남파랑길</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.03.25. 오후 4:37</td>\n",
              "      <td>[(그래픽, NNG, 0, 3), (부산, NNP, 4, 2), (해남, NNP, ...</td>\n",
              "      <td>[그래픽, 부산, 해남, 최장, 걷기, 여행, 남파]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>ynat-v1_train_00026</td>\n",
              "      <td>책으로 떠나는 한양도성 순례…성곽길시간여행 출간</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2017.12.11. 오전 7:30</td>\n",
              "      <td>[(책, NNG, 0, 1), (으로, JKB, 1, 2), (떠나, VV, 4, ...</td>\n",
              "      <td>[떠나다, 한양도성, 순례, 성곽, 시간, 여행, 출간]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6966</th>\n",
              "      <td>ynat-v1_train_06966</td>\n",
              "      <td>신간 식민지 근대감옥 서대문형무소</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.04.12. 오후 3:25</td>\n",
              "      <td>[(신간, NNG, 0, 2), (식민지, NNG, 3, 3), (근대, NNG, ...</td>\n",
              "      <td>[신간, 식민지, 근대, 감옥, 서대문형무소]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6981</th>\n",
              "      <td>ynat-v1_train_06981</td>\n",
              "      <td>미세먼지 싫어요</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.01.17. 오후 1:44</td>\n",
              "      <td>[(미세, NNG, 0, 2), (먼지, NNG, 2, 2), (싫, VA, 5, ...</td>\n",
              "      <td>[미세, 먼지, 싫다]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6983</th>\n",
              "      <td>ynat-v1_train_06983</td>\n",
              "      <td>신간 무고한 존재·드롭·유령함대</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.03.15. 오후 4:00</td>\n",
              "      <td>[(신간, NNG, 0, 2), (무고, XR, 3, 2), (하, XSA, 5, ...</td>\n",
              "      <td>[신간, 무고, 존재, 드롭, 유령, 함대]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6991</th>\n",
              "      <td>ynat-v1_train_06991</td>\n",
              "      <td>서울시향 슈텐츠 지휘의 정기연주회 성료</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.06.24. 오후 4:13</td>\n",
              "      <td>[(서울시향, NNP, 0, 4), (슈텐츠, NNP, 5, 3), (지휘, NNG...</td>\n",
              "      <td>[서울시향, 슈텐츠, 지휘, 정기, 연주회]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6999</th>\n",
              "      <td>ynat-v1_train_06999</td>\n",
              "      <td>120년 전 대한제국으로…가을밤 정동에서 시간 여행 떠나다</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.10.28. 오후 8:13</td>\n",
              "      <td>[(120, SN, 0, 3), (년, NNB, 3, 1), (전, NNG, 5, ...</td>\n",
              "      <td>[대한제국, 가을밤, 정동, 시간, 여행, 떠나다]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 7 columns</p>\n",
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          },
          "metadata": {},
          "execution_count": 208
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "culture['text_pos_filter'] = pos_filter(culture,'text_pos_tagging')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d871e7bc-e872-4048-f253-edd0e4b7e700",
        "id": "WbBicEx-7LJN"
      },
      "execution_count": 209,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "1000it [00:00, 11830.70it/s]\n",
            "<ipython-input-209-7c59c5097b59>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  culture['text_pos_filter'] = pos_filter(culture,'text_pos_tagging')\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "culture"
      ],
      "metadata": {
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          "height": 0
        },
        "outputId": "d42da2d6-1bb6-4efa-b616-5dacbab67672",
        "id": "43Zws1Ew7LJN"
      },
      "execution_count": 210,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       ID                              text  target  \\\n",
              "3     ynat-v1_train_00003            신간 블록체인혁명 2030·남자의 고독사       3   \n",
              "10    ynat-v1_train_00010                폭염 이기는 도심 속 오페라 공연       3   \n",
              "19    ynat-v1_train_00019  경북·여수·정선·창원 관광발전지수 1등급 지역에 새로 선정       3   \n",
              "23    ynat-v1_train_00023            그래픽 부산해남 최장 걷기여행길 남파랑길       3   \n",
              "26    ynat-v1_train_00026        책으로 떠나는 한양도성 순례…성곽길시간여행 출간       3   \n",
              "...                   ...                               ...     ...   \n",
              "6966  ynat-v1_train_06966                신간 식민지 근대감옥 서대문형무소       3   \n",
              "6981  ynat-v1_train_06981                          미세먼지 싫어요       3   \n",
              "6983  ynat-v1_train_06983                 신간 무고한 존재·드롭·유령함대       3   \n",
              "6991  ynat-v1_train_06991             서울시향 슈텐츠 지휘의 정기연주회 성료       3   \n",
              "6999  ynat-v1_train_06999  120년 전 대한제국으로…가을밤 정동에서 시간 여행 떠나다       3   \n",
              "\n",
              "                                                    url                  date  \\\n",
              "3     https://news.naver.com/main/read.nhn?mode=LS2D...  2019.06.13. 오전 11:49   \n",
              "10    https://news.naver.com/main/read.nhn?mode=LS2D...  2018.07.21. 오전 10:15   \n",
              "19    https://news.naver.com/main/read.nhn?mode=LS2D...  2019.12.30. 오전 11:04   \n",
              "23    https://news.naver.com/main/read.nhn?mode=LS2D...   2019.03.25. 오후 4:37   \n",
              "26    https://news.naver.com/main/read.nhn?mode=LS2D...   2017.12.11. 오전 7:30   \n",
              "...                                                 ...                   ...   \n",
              "6966  https://news.naver.com/main/read.nhn?mode=LS2D...   2019.04.12. 오후 3:25   \n",
              "6981  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.01.17. 오후 1:44   \n",
              "6983  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.03.15. 오후 4:00   \n",
              "6991  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.06.24. 오후 4:13   \n",
              "6999  https://news.naver.com/main/read.nhn?mode=LS2D...   2016.10.28. 오후 8:13   \n",
              "\n",
              "                                       text_pos_tagging  \\\n",
              "3     [(신간, NNG, 0, 2), (블록체인, NNP, 3, 4), (혁명, NNG,...   \n",
              "10    [(폭염, NNG, 0, 2), (이기, VV, 3, 2), (는, ETM, 5, ...   \n",
              "19    [(경북, NNP, 0, 2), (·, SP, 2, 1), (여수, NNP, 3, ...   \n",
              "23    [(그래픽, NNG, 0, 3), (부산, NNP, 4, 2), (해남, NNP, ...   \n",
              "26    [(책, NNG, 0, 1), (으로, JKB, 1, 2), (떠나, VV, 4, ...   \n",
              "...                                                 ...   \n",
              "6966  [(신간, NNG, 0, 2), (식민지, NNG, 3, 3), (근대, NNG, ...   \n",
              "6981  [(미세, NNG, 0, 2), (먼지, NNG, 2, 2), (싫, VA, 5, ...   \n",
              "6983  [(신간, NNG, 0, 2), (무고, XR, 3, 2), (하, XSA, 5, ...   \n",
              "6991  [(서울시향, NNP, 0, 4), (슈텐츠, NNP, 5, 3), (지휘, NNG...   \n",
              "6999  [(120, SN, 0, 3), (년, NNB, 3, 1), (전, NNG, 5, ...   \n",
              "\n",
              "                               text_pos_filter  \n",
              "3                      [신간, 블록체인, 혁명, 남자, 고독사]  \n",
              "10                      [폭염, 이기다, 도심, 오페라, 공연]  \n",
              "19    [경북, 여수, 정선, 창원, 관광, 발전, 지수, 등급, 지역, 선정]  \n",
              "23               [그래픽, 부산, 해남, 최장, 걷기, 여행, 남파]  \n",
              "26             [떠나다, 한양도성, 순례, 성곽, 시간, 여행, 출간]  \n",
              "...                                        ...  \n",
              "6966                 [신간, 식민지, 근대, 감옥, 서대문형무소]  \n",
              "6981                              [미세, 먼지, 싫다]  \n",
              "6983                  [신간, 무고, 존재, 드롭, 유령, 함대]  \n",
              "6991                  [서울시향, 슈텐츠, 지휘, 정기, 연주회]  \n",
              "6999              [대한제국, 가을밤, 정동, 시간, 여행, 떠나다]  \n",
              "\n",
              "[1000 rows x 7 columns]"
            ],
            "text/html": [
              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>text</th>\n",
              "      <th>target</th>\n",
              "      <th>url</th>\n",
              "      <th>date</th>\n",
              "      <th>text_pos_tagging</th>\n",
              "      <th>text_pos_filter</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ynat-v1_train_00003</td>\n",
              "      <td>신간 블록체인혁명 2030·남자의 고독사</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.06.13. 오전 11:49</td>\n",
              "      <td>[(신간, NNG, 0, 2), (블록체인, NNP, 3, 4), (혁명, NNG,...</td>\n",
              "      <td>[신간, 블록체인, 혁명, 남자, 고독사]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>ynat-v1_train_00010</td>\n",
              "      <td>폭염 이기는 도심 속 오페라 공연</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.07.21. 오전 10:15</td>\n",
              "      <td>[(폭염, NNG, 0, 2), (이기, VV, 3, 2), (는, ETM, 5, ...</td>\n",
              "      <td>[폭염, 이기다, 도심, 오페라, 공연]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>ynat-v1_train_00019</td>\n",
              "      <td>경북·여수·정선·창원 관광발전지수 1등급 지역에 새로 선정</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.12.30. 오전 11:04</td>\n",
              "      <td>[(경북, NNP, 0, 2), (·, SP, 2, 1), (여수, NNP, 3, ...</td>\n",
              "      <td>[경북, 여수, 정선, 창원, 관광, 발전, 지수, 등급, 지역, 선정]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>ynat-v1_train_00023</td>\n",
              "      <td>그래픽 부산해남 최장 걷기여행길 남파랑길</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.03.25. 오후 4:37</td>\n",
              "      <td>[(그래픽, NNG, 0, 3), (부산, NNP, 4, 2), (해남, NNP, ...</td>\n",
              "      <td>[그래픽, 부산, 해남, 최장, 걷기, 여행, 남파]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>ynat-v1_train_00026</td>\n",
              "      <td>책으로 떠나는 한양도성 순례…성곽길시간여행 출간</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2017.12.11. 오전 7:30</td>\n",
              "      <td>[(책, NNG, 0, 1), (으로, JKB, 1, 2), (떠나, VV, 4, ...</td>\n",
              "      <td>[떠나다, 한양도성, 순례, 성곽, 시간, 여행, 출간]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6966</th>\n",
              "      <td>ynat-v1_train_06966</td>\n",
              "      <td>신간 식민지 근대감옥 서대문형무소</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.04.12. 오후 3:25</td>\n",
              "      <td>[(신간, NNG, 0, 2), (식민지, NNG, 3, 3), (근대, NNG, ...</td>\n",
              "      <td>[신간, 식민지, 근대, 감옥, 서대문형무소]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6981</th>\n",
              "      <td>ynat-v1_train_06981</td>\n",
              "      <td>미세먼지 싫어요</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.01.17. 오후 1:44</td>\n",
              "      <td>[(미세, NNG, 0, 2), (먼지, NNG, 2, 2), (싫, VA, 5, ...</td>\n",
              "      <td>[미세, 먼지, 싫다]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6983</th>\n",
              "      <td>ynat-v1_train_06983</td>\n",
              "      <td>신간 무고한 존재·드롭·유령함대</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.03.15. 오후 4:00</td>\n",
              "      <td>[(신간, NNG, 0, 2), (무고, XR, 3, 2), (하, XSA, 5, ...</td>\n",
              "      <td>[신간, 무고, 존재, 드롭, 유령, 함대]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6991</th>\n",
              "      <td>ynat-v1_train_06991</td>\n",
              "      <td>서울시향 슈텐츠 지휘의 정기연주회 성료</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.06.24. 오후 4:13</td>\n",
              "      <td>[(서울시향, NNP, 0, 4), (슈텐츠, NNP, 5, 3), (지휘, NNG...</td>\n",
              "      <td>[서울시향, 슈텐츠, 지휘, 정기, 연주회]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6999</th>\n",
              "      <td>ynat-v1_train_06999</td>\n",
              "      <td>120년 전 대한제국으로…가을밤 정동에서 시간 여행 떠나다</td>\n",
              "      <td>3</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.10.28. 오후 8:13</td>\n",
              "      <td>[(120, SN, 0, 3), (년, NNB, 3, 1), (전, NNG, 5, ...</td>\n",
              "      <td>[대한제국, 가을밤, 정동, 시간, 여행, 떠나다]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "<p>1000 rows × 7 columns</p>\n",
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              "        document.querySelector('#df-4b7bd8b4-9273-4c34-a7bf-7eacd42b6995 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-4b7bd8b4-9273-4c34-a7bf-7eacd42b6995');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-15331441-f064-489d-9548-08ebebf33c01\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-15331441-f064-489d-9548-08ebebf33c01')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-15331441-f064-489d-9548-08ebebf33c01 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 210
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "culture_cnt = list(culture.loc[:, 'text_pos_filter'])\n",
        "culture_cnt = [data for inner_list in culture_cnt for data in inner_list]\n",
        "culture_cnt = word_count(culture_cnt)\n",
        "culture_cnt[:30]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "482e8a19-edc5-4171-a77b-065070dd1995",
        "id": "i-QIeYKI7LJN"
      },
      "execution_count": 211,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('신간', 103),\n",
              " ('여행', 48),\n",
              " ('축제', 44),\n",
              " ('서울', 39),\n",
              " ('공연', 38),\n",
              " ('주말', 36),\n",
              " ('전국', 33),\n",
              " ('날씨', 33),\n",
              " ('문화', 32),\n",
              " ('주의보', 28),\n",
              " ('한국', 28),\n",
              " ('개막', 27),\n",
              " ('개최', 24),\n",
              " ('강원', 24),\n",
              " ('종합', 21),\n",
              " ('제주', 21),\n",
              " ('출간', 20),\n",
              " ('한파', 20),\n",
              " ('소설', 20),\n",
              " ('기온', 20),\n",
              " ('가을', 19),\n",
              " ('게시판', 19),\n",
              " ('작가', 19),\n",
              " ('보다', 19),\n",
              " ('최고', 18),\n",
              " ('부산', 17),\n",
              " ('미세', 17),\n",
              " ('먼지', 17),\n",
              " ('관광', 16),\n",
              " ('쓰다', 16)]"
            ]
          },
          "metadata": {},
          "execution_count": 211
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(culture_cnt)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3e73a969-2870-4eec-caf5-2062ca763c83",
        "id": "NsBDTSYO7LJN"
      },
      "execution_count": 212,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2992"
            ]
          },
          "metadata": {},
          "execution_count": 212
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "culture_df = pd.DataFrame(culture_cnt,columns=['word','cnt'])\n",
        "culture_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "outputId": "e7736e5e-ec04-40b2-c1f3-7ad6979407f3",
        "id": "ffiy5KxM7LJN"
      },
      "execution_count": 213,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      word  cnt\n",
              "0       신간  103\n",
              "1       여행   48\n",
              "2       축제   44\n",
              "3       서울   39\n",
              "4       공연   38\n",
              "...    ...  ...\n",
              "2987  서울시향    1\n",
              "2988   슈텐츠    1\n",
              "2989    정기    1\n",
              "2990  대한제국    1\n",
              "2991   가을밤    1\n",
              "\n",
              "[2992 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d199cff3-2483-42b5-9523-75f4bbc61bde\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>cnt</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>신간</td>\n",
              "      <td>103</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>여행</td>\n",
              "      <td>48</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>축제</td>\n",
              "      <td>44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>서울</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>공연</td>\n",
              "      <td>38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2987</th>\n",
              "      <td>서울시향</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2988</th>\n",
              "      <td>슈텐츠</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2989</th>\n",
              "      <td>정기</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2990</th>\n",
              "      <td>대한제국</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2991</th>\n",
              "      <td>가을밤</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2992 rows × 2 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d199cff3-2483-42b5-9523-75f4bbc61bde')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-d199cff3-2483-42b5-9523-75f4bbc61bde button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-d199cff3-2483-42b5-9523-75f4bbc61bde');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-acb55b27-9fb9-4c5a-a9c5-f1307358c3ba\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-acb55b27-9fb9-4c5a-a9c5-f1307358c3ba')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-acb55b27-9fb9-4c5a-a9c5-f1307358c3ba button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 213
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "culture_drop_df = culture_df[culture_df['cnt']>9]\n",
        "culture_drop_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "outputId": "68e157ef-7daf-4d07-a9d7-f9eb470f10e7",
        "id": "XjZQBtVv7LJN"
      },
      "execution_count": 214,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   word  cnt\n",
              "0    신간  103\n",
              "1    여행   48\n",
              "2    축제   44\n",
              "3    서울   39\n",
              "4    공연   38\n",
              "..  ...  ...\n",
              "68   남부   10\n",
              "69   서다   10\n",
              "70   예술   10\n",
              "71   국제   10\n",
              "72   기념   10\n",
              "\n",
              "[73 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-004be401-5dc3-40cc-b942-9d47a1501e18\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>cnt</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>신간</td>\n",
              "      <td>103</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>여행</td>\n",
              "      <td>48</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>축제</td>\n",
              "      <td>44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>서울</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>공연</td>\n",
              "      <td>38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68</th>\n",
              "      <td>남부</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>69</th>\n",
              "      <td>서다</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>70</th>\n",
              "      <td>예술</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71</th>\n",
              "      <td>국제</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>기념</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>73 rows × 2 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-004be401-5dc3-40cc-b942-9d47a1501e18')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-004be401-5dc3-40cc-b942-9d47a1501e18 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-004be401-5dc3-40cc-b942-9d47a1501e18');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-63045732-e6c6-40af-bd21-242f50923a47\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-63045732-e6c6-40af-bd21-242f50923a47')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-63045732-e6c6-40af-bd21-242f50923a47 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 214
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "culture_df.to_csv('culture_df.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "aacJK8nl7LJN"
      },
      "execution_count": 215,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "culture_drop_df.to_csv('culture_drop_df.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "lVr_lQRz7LJO"
      },
      "execution_count": 216,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 4) world"
      ],
      "metadata": {
        "id": "9rkjlYiK5OzX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "world['text_pos_tagging'] = world['text'].progress_apply(lambda x: pos_tagging(x))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "4845cd16-4194-4e1f-e9fb-d373e1eb7538",
        "id": "m7g9cP8e9xV3"
      },
      "execution_count": 217,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 1000/1000 [00:01<00:00, 843.02it/s]\n",
            "<ipython-input-217-c747bc26886a>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  world['text_pos_tagging'] = world['text'].progress_apply(lambda x: pos_tagging(x))\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "world"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "outputId": "b183aec8-3657-4fd7-e85f-fe60cee88907",
        "id": "4rk64YqH9xV4"
      },
      "execution_count": 218,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       ID                              text  target  \\\n",
              "4     ynat-v1_train_00004    이스라엘 정보당국 팔레스타인인 50명 테러 혐의로 체포       4   \n",
              "12    ynat-v1_train_00012  美웨스트버지니아 경선 샌더스 박빙 우세…전체 판세와는 무관       4   \n",
              "54    ynat-v1_train_00054  이란 호르무즈 부근서 美드론 격추…美 이유없는 공격종합3보       4   \n",
              "56    ynat-v1_train_00056     테러 빈번한 부르키나파소…수년째 이슬람 무장단체 활개       4   \n",
              "65    ynat-v1_train_00065      또다시 중동 벌집쑤신 트럼프…골란고원 군사긴장 고조       4   \n",
              "...                   ...                               ...     ...   \n",
              "6956  ynat-v1_train_06956   군사원조 지연 설명 못들어…우크라대통령 트럼프압력설 일축       4   \n",
              "6968  ynat-v1_train_06968         터키 러시아제 미사일 도입에 나토 최악의 위기       4   \n",
              "6970  ynat-v1_train_06970        중국 무역전쟁 속 최대 이벤트 양회 개막종합2보       4   \n",
              "6972  ynat-v1_train_06972    伊 외무부 對쿠르드 군사작전에 항의…터키 대사 초치종합       4   \n",
              "6989  ynat-v1_train_06989            이란 포르도 농축시설에 우라늄 기체 주입       4   \n",
              "\n",
              "                                                    url                  date  \\\n",
              "4     https://news.naver.com/main/read.nhn?mode=LS2D...  2019.12.18. 오후 11:15   \n",
              "12    https://news.naver.com/main/read.nhn?mode=LS2D...   2016.05.11. 오전 9:48   \n",
              "54    https://news.naver.com/main/read.nhn?mode=LS2D...   2019.06.20. 오후 9:46   \n",
              "56    https://news.naver.com/main/read.nhn?mode=LS2D...   2019.05.13. 오후 6:07   \n",
              "65    https://news.naver.com/main/read.nhn?mode=LS2D...   2019.03.26. 오후 7:39   \n",
              "...                                                 ...                   ...   \n",
              "6956  https://news.naver.com/main/read.nhn?mode=LS2D...  2019.10.02. 오전 10:05   \n",
              "6968  https://news.naver.com/main/read.nhn?mode=LS2D...  2019.07.19. 오전 11:31   \n",
              "6970  https://news.naver.com/main/read.nhn?mode=LS2D...   2019.03.03. 오후 5:40   \n",
              "6972  https://news.naver.com/main/read.nhn?mode=LS2D...  2019.10.11. 오전 12:48   \n",
              "6989  https://news.naver.com/main/read.nhn?mode=LS2D...  2019.11.07. 오전 12:42   \n",
              "\n",
              "                                       text_pos_tagging  \\\n",
              "4     [(이스라엘, NNP, 0, 4), (정보, NNG, 5, 2), (당국, NNG,...   \n",
              "12    [(美, SH, 0, 1), (웨스트버지니아, NNP, 1, 7), (경선, NNG...   \n",
              "54    [(이란, NNP, 0, 2), (호르무즈, NNP, 3, 4), (부근, NNG,...   \n",
              "56    [(테러, NNG, 0, 2), (빈번, XR, 3, 2), (하, XSA, 5, ...   \n",
              "65    [(또다시, MAG, 0, 3), (중동, NNP, 4, 2), (벌집, NNG, ...   \n",
              "...                                                 ...   \n",
              "6956  [(군사, NNG, 0, 2), (원조, NNG, 2, 2), (지연, NNG, 5...   \n",
              "6968  [(터키, NNP, 0, 2), (러시아제, NNG, 3, 4), (미사일, NNG...   \n",
              "6970  [(중국, NNP, 0, 2), (무역, NNG, 3, 2), (전쟁, NNG, 5...   \n",
              "6972  [(伊, SH, 0, 1), (외무부, NNG, 2, 3), (對, SH, 6, 1...   \n",
              "6989  [(이란, NNP, 0, 2), (포르도, NNG, 3, 3), (농축, NNG, ...   \n",
              "\n",
              "                                  text_pos_filter  \n",
              "4              [이스라엘, 정보, 당국, 팔레스타인인, 테러, 혐의, 체포]  \n",
              "12         [웨스트버지니아, 경선, 샌더스, 박빙, 우세, 전체, 판세, 무관]  \n",
              "54         [이란, 호르무즈, 부근, 드론, 격추, 이유, 없다, 공격, 종합]  \n",
              "56         [테러, 빈번, 부르키나파소, 수년째, 이슬람, 무장, 단체, 활개]  \n",
              "65        [중동, 벌집, 쑤시다, 트럼프, 고르다, 고원, 군사, 긴장, 고조]  \n",
              "...                                           ...  \n",
              "6956  [군사, 원조, 지연, 설명, 들다, 우크라, 대통령, 트럼프, 압력, 일축]  \n",
              "6968              [터키, 러시아제, 미사일, 도입, 나토, 최악, 위기]  \n",
              "6970            [중국, 무역, 전쟁, 최대, 이벤트, 양회, 개막, 종합]  \n",
              "6972       [외무부, 쿠르드, 군사, 작전, 항의, 터키, 대사, 초치, 종합]  \n",
              "6989               [이란, 포르도, 농축, 시설, 우라늄, 기체, 주입]  \n",
              "\n",
              "[1000 rows x 7 columns]"
            ],
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              "  <div id=\"df-0fb00bce-97b0-4117-b8ae-8161bff41d17\" class=\"colab-df-container\">\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>text</th>\n",
              "      <th>target</th>\n",
              "      <th>url</th>\n",
              "      <th>date</th>\n",
              "      <th>text_pos_tagging</th>\n",
              "      <th>text_pos_filter</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ynat-v1_train_00004</td>\n",
              "      <td>이스라엘 정보당국 팔레스타인인 50명 테러 혐의로 체포</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.12.18. 오후 11:15</td>\n",
              "      <td>[(이스라엘, NNP, 0, 4), (정보, NNG, 5, 2), (당국, NNG,...</td>\n",
              "      <td>[이스라엘, 정보, 당국, 팔레스타인인, 테러, 혐의, 체포]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>ynat-v1_train_00012</td>\n",
              "      <td>美웨스트버지니아 경선 샌더스 박빙 우세…전체 판세와는 무관</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.05.11. 오전 9:48</td>\n",
              "      <td>[(美, SH, 0, 1), (웨스트버지니아, NNP, 1, 7), (경선, NNG...</td>\n",
              "      <td>[웨스트버지니아, 경선, 샌더스, 박빙, 우세, 전체, 판세, 무관]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>54</th>\n",
              "      <td>ynat-v1_train_00054</td>\n",
              "      <td>이란 호르무즈 부근서 美드론 격추…美 이유없는 공격종합3보</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.06.20. 오후 9:46</td>\n",
              "      <td>[(이란, NNP, 0, 2), (호르무즈, NNP, 3, 4), (부근, NNG,...</td>\n",
              "      <td>[이란, 호르무즈, 부근, 드론, 격추, 이유, 없다, 공격, 종합]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>ynat-v1_train_00056</td>\n",
              "      <td>테러 빈번한 부르키나파소…수년째 이슬람 무장단체 활개</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.05.13. 오후 6:07</td>\n",
              "      <td>[(테러, NNG, 0, 2), (빈번, XR, 3, 2), (하, XSA, 5, ...</td>\n",
              "      <td>[테러, 빈번, 부르키나파소, 수년째, 이슬람, 무장, 단체, 활개]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>65</th>\n",
              "      <td>ynat-v1_train_00065</td>\n",
              "      <td>또다시 중동 벌집쑤신 트럼프…골란고원 군사긴장 고조</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.03.26. 오후 7:39</td>\n",
              "      <td>[(또다시, MAG, 0, 3), (중동, NNP, 4, 2), (벌집, NNG, ...</td>\n",
              "      <td>[중동, 벌집, 쑤시다, 트럼프, 고르다, 고원, 군사, 긴장, 고조]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6956</th>\n",
              "      <td>ynat-v1_train_06956</td>\n",
              "      <td>군사원조 지연 설명 못들어…우크라대통령 트럼프압력설 일축</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.10.02. 오전 10:05</td>\n",
              "      <td>[(군사, NNG, 0, 2), (원조, NNG, 2, 2), (지연, NNG, 5...</td>\n",
              "      <td>[군사, 원조, 지연, 설명, 들다, 우크라, 대통령, 트럼프, 압력, 일축]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6968</th>\n",
              "      <td>ynat-v1_train_06968</td>\n",
              "      <td>터키 러시아제 미사일 도입에 나토 최악의 위기</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.07.19. 오전 11:31</td>\n",
              "      <td>[(터키, NNP, 0, 2), (러시아제, NNG, 3, 4), (미사일, NNG...</td>\n",
              "      <td>[터키, 러시아제, 미사일, 도입, 나토, 최악, 위기]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6970</th>\n",
              "      <td>ynat-v1_train_06970</td>\n",
              "      <td>중국 무역전쟁 속 최대 이벤트 양회 개막종합2보</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.03.03. 오후 5:40</td>\n",
              "      <td>[(중국, NNP, 0, 2), (무역, NNG, 3, 2), (전쟁, NNG, 5...</td>\n",
              "      <td>[중국, 무역, 전쟁, 최대, 이벤트, 양회, 개막, 종합]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6972</th>\n",
              "      <td>ynat-v1_train_06972</td>\n",
              "      <td>伊 외무부 對쿠르드 군사작전에 항의…터키 대사 초치종합</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.10.11. 오전 12:48</td>\n",
              "      <td>[(伊, SH, 0, 1), (외무부, NNG, 2, 3), (對, SH, 6, 1...</td>\n",
              "      <td>[외무부, 쿠르드, 군사, 작전, 항의, 터키, 대사, 초치, 종합]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6989</th>\n",
              "      <td>ynat-v1_train_06989</td>\n",
              "      <td>이란 포르도 농축시설에 우라늄 기체 주입</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.11.07. 오전 12:42</td>\n",
              "      <td>[(이란, NNP, 0, 2), (포르도, NNG, 3, 3), (농축, NNG, ...</td>\n",
              "      <td>[이란, 포르도, 농축, 시설, 우라늄, 기체, 주입]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 7 columns</p>\n",
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              "                                                    [key], {});\n",
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              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "    20% {\n",
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              "    40% {\n",
              "      border-color: transparent;\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
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              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
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              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 218
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "world['text_pos_filter'] = pos_filter(world,'text_pos_tagging')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "87479485-1201-45c9-c9ca-65a5ad981650",
        "id": "pO42u2w89xV4"
      },
      "execution_count": 219,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "1000it [00:00, 14814.37it/s]\n",
            "<ipython-input-219-4e14ee9641e4>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  world['text_pos_filter'] = pos_filter(world,'text_pos_tagging')\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "world"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "outputId": "1e7f43ac-514f-4f95-8db9-31a9bb25a0d1",
        "id": "icw58Pfl9xV4"
      },
      "execution_count": 220,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       ID                              text  target  \\\n",
              "4     ynat-v1_train_00004    이스라엘 정보당국 팔레스타인인 50명 테러 혐의로 체포       4   \n",
              "12    ynat-v1_train_00012  美웨스트버지니아 경선 샌더스 박빙 우세…전체 판세와는 무관       4   \n",
              "54    ynat-v1_train_00054  이란 호르무즈 부근서 美드론 격추…美 이유없는 공격종합3보       4   \n",
              "56    ynat-v1_train_00056     테러 빈번한 부르키나파소…수년째 이슬람 무장단체 활개       4   \n",
              "65    ynat-v1_train_00065      또다시 중동 벌집쑤신 트럼프…골란고원 군사긴장 고조       4   \n",
              "...                   ...                               ...     ...   \n",
              "6956  ynat-v1_train_06956   군사원조 지연 설명 못들어…우크라대통령 트럼프압력설 일축       4   \n",
              "6968  ynat-v1_train_06968         터키 러시아제 미사일 도입에 나토 최악의 위기       4   \n",
              "6970  ynat-v1_train_06970        중국 무역전쟁 속 최대 이벤트 양회 개막종합2보       4   \n",
              "6972  ynat-v1_train_06972    伊 외무부 對쿠르드 군사작전에 항의…터키 대사 초치종합       4   \n",
              "6989  ynat-v1_train_06989            이란 포르도 농축시설에 우라늄 기체 주입       4   \n",
              "\n",
              "                                                    url                  date  \\\n",
              "4     https://news.naver.com/main/read.nhn?mode=LS2D...  2019.12.18. 오후 11:15   \n",
              "12    https://news.naver.com/main/read.nhn?mode=LS2D...   2016.05.11. 오전 9:48   \n",
              "54    https://news.naver.com/main/read.nhn?mode=LS2D...   2019.06.20. 오후 9:46   \n",
              "56    https://news.naver.com/main/read.nhn?mode=LS2D...   2019.05.13. 오후 6:07   \n",
              "65    https://news.naver.com/main/read.nhn?mode=LS2D...   2019.03.26. 오후 7:39   \n",
              "...                                                 ...                   ...   \n",
              "6956  https://news.naver.com/main/read.nhn?mode=LS2D...  2019.10.02. 오전 10:05   \n",
              "6968  https://news.naver.com/main/read.nhn?mode=LS2D...  2019.07.19. 오전 11:31   \n",
              "6970  https://news.naver.com/main/read.nhn?mode=LS2D...   2019.03.03. 오후 5:40   \n",
              "6972  https://news.naver.com/main/read.nhn?mode=LS2D...  2019.10.11. 오전 12:48   \n",
              "6989  https://news.naver.com/main/read.nhn?mode=LS2D...  2019.11.07. 오전 12:42   \n",
              "\n",
              "                                       text_pos_tagging  \\\n",
              "4     [(이스라엘, NNP, 0, 4), (정보, NNG, 5, 2), (당국, NNG,...   \n",
              "12    [(美, SH, 0, 1), (웨스트버지니아, NNP, 1, 7), (경선, NNG...   \n",
              "54    [(이란, NNP, 0, 2), (호르무즈, NNP, 3, 4), (부근, NNG,...   \n",
              "56    [(테러, NNG, 0, 2), (빈번, XR, 3, 2), (하, XSA, 5, ...   \n",
              "65    [(또다시, MAG, 0, 3), (중동, NNP, 4, 2), (벌집, NNG, ...   \n",
              "...                                                 ...   \n",
              "6956  [(군사, NNG, 0, 2), (원조, NNG, 2, 2), (지연, NNG, 5...   \n",
              "6968  [(터키, NNP, 0, 2), (러시아제, NNG, 3, 4), (미사일, NNG...   \n",
              "6970  [(중국, NNP, 0, 2), (무역, NNG, 3, 2), (전쟁, NNG, 5...   \n",
              "6972  [(伊, SH, 0, 1), (외무부, NNG, 2, 3), (對, SH, 6, 1...   \n",
              "6989  [(이란, NNP, 0, 2), (포르도, NNG, 3, 3), (농축, NNG, ...   \n",
              "\n",
              "                                  text_pos_filter  \n",
              "4              [이스라엘, 정보, 당국, 팔레스타인인, 테러, 혐의, 체포]  \n",
              "12         [웨스트버지니아, 경선, 샌더스, 박빙, 우세, 전체, 판세, 무관]  \n",
              "54         [이란, 호르무즈, 부근, 드론, 격추, 이유, 없다, 공격, 종합]  \n",
              "56         [테러, 빈번, 부르키나파소, 수년째, 이슬람, 무장, 단체, 활개]  \n",
              "65        [중동, 벌집, 쑤시다, 트럼프, 고르다, 고원, 군사, 긴장, 고조]  \n",
              "...                                           ...  \n",
              "6956  [군사, 원조, 지연, 설명, 들다, 우크라, 대통령, 트럼프, 압력, 일축]  \n",
              "6968              [터키, 러시아제, 미사일, 도입, 나토, 최악, 위기]  \n",
              "6970            [중국, 무역, 전쟁, 최대, 이벤트, 양회, 개막, 종합]  \n",
              "6972       [외무부, 쿠르드, 군사, 작전, 항의, 터키, 대사, 초치, 종합]  \n",
              "6989               [이란, 포르도, 농축, 시설, 우라늄, 기체, 주입]  \n",
              "\n",
              "[1000 rows x 7 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-3862ab0a-e29e-46c3-9d39-379806c6d632\" class=\"colab-df-container\">\n",
              "    <div>\n",
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>text</th>\n",
              "      <th>target</th>\n",
              "      <th>url</th>\n",
              "      <th>date</th>\n",
              "      <th>text_pos_tagging</th>\n",
              "      <th>text_pos_filter</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ynat-v1_train_00004</td>\n",
              "      <td>이스라엘 정보당국 팔레스타인인 50명 테러 혐의로 체포</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.12.18. 오후 11:15</td>\n",
              "      <td>[(이스라엘, NNP, 0, 4), (정보, NNG, 5, 2), (당국, NNG,...</td>\n",
              "      <td>[이스라엘, 정보, 당국, 팔레스타인인, 테러, 혐의, 체포]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>ynat-v1_train_00012</td>\n",
              "      <td>美웨스트버지니아 경선 샌더스 박빙 우세…전체 판세와는 무관</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.05.11. 오전 9:48</td>\n",
              "      <td>[(美, SH, 0, 1), (웨스트버지니아, NNP, 1, 7), (경선, NNG...</td>\n",
              "      <td>[웨스트버지니아, 경선, 샌더스, 박빙, 우세, 전체, 판세, 무관]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>54</th>\n",
              "      <td>ynat-v1_train_00054</td>\n",
              "      <td>이란 호르무즈 부근서 美드론 격추…美 이유없는 공격종합3보</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.06.20. 오후 9:46</td>\n",
              "      <td>[(이란, NNP, 0, 2), (호르무즈, NNP, 3, 4), (부근, NNG,...</td>\n",
              "      <td>[이란, 호르무즈, 부근, 드론, 격추, 이유, 없다, 공격, 종합]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>ynat-v1_train_00056</td>\n",
              "      <td>테러 빈번한 부르키나파소…수년째 이슬람 무장단체 활개</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.05.13. 오후 6:07</td>\n",
              "      <td>[(테러, NNG, 0, 2), (빈번, XR, 3, 2), (하, XSA, 5, ...</td>\n",
              "      <td>[테러, 빈번, 부르키나파소, 수년째, 이슬람, 무장, 단체, 활개]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>65</th>\n",
              "      <td>ynat-v1_train_00065</td>\n",
              "      <td>또다시 중동 벌집쑤신 트럼프…골란고원 군사긴장 고조</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.03.26. 오후 7:39</td>\n",
              "      <td>[(또다시, MAG, 0, 3), (중동, NNP, 4, 2), (벌집, NNG, ...</td>\n",
              "      <td>[중동, 벌집, 쑤시다, 트럼프, 고르다, 고원, 군사, 긴장, 고조]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6956</th>\n",
              "      <td>ynat-v1_train_06956</td>\n",
              "      <td>군사원조 지연 설명 못들어…우크라대통령 트럼프압력설 일축</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.10.02. 오전 10:05</td>\n",
              "      <td>[(군사, NNG, 0, 2), (원조, NNG, 2, 2), (지연, NNG, 5...</td>\n",
              "      <td>[군사, 원조, 지연, 설명, 들다, 우크라, 대통령, 트럼프, 압력, 일축]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6968</th>\n",
              "      <td>ynat-v1_train_06968</td>\n",
              "      <td>터키 러시아제 미사일 도입에 나토 최악의 위기</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.07.19. 오전 11:31</td>\n",
              "      <td>[(터키, NNP, 0, 2), (러시아제, NNG, 3, 4), (미사일, NNG...</td>\n",
              "      <td>[터키, 러시아제, 미사일, 도입, 나토, 최악, 위기]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6970</th>\n",
              "      <td>ynat-v1_train_06970</td>\n",
              "      <td>중국 무역전쟁 속 최대 이벤트 양회 개막종합2보</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.03.03. 오후 5:40</td>\n",
              "      <td>[(중국, NNP, 0, 2), (무역, NNG, 3, 2), (전쟁, NNG, 5...</td>\n",
              "      <td>[중국, 무역, 전쟁, 최대, 이벤트, 양회, 개막, 종합]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6972</th>\n",
              "      <td>ynat-v1_train_06972</td>\n",
              "      <td>伊 외무부 對쿠르드 군사작전에 항의…터키 대사 초치종합</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.10.11. 오전 12:48</td>\n",
              "      <td>[(伊, SH, 0, 1), (외무부, NNG, 2, 3), (對, SH, 6, 1...</td>\n",
              "      <td>[외무부, 쿠르드, 군사, 작전, 항의, 터키, 대사, 초치, 종합]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6989</th>\n",
              "      <td>ynat-v1_train_06989</td>\n",
              "      <td>이란 포르도 농축시설에 우라늄 기체 주입</td>\n",
              "      <td>4</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.11.07. 오전 12:42</td>\n",
              "      <td>[(이란, NNP, 0, 2), (포르도, NNG, 3, 3), (농축, NNG, ...</td>\n",
              "      <td>[이란, 포르도, 농축, 시설, 우라늄, 기체, 주입]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 7 columns</p>\n",
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              "\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
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              "        const element = document.querySelector('#df-3862ab0a-e29e-46c3-9d39-379806c6d632');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-93f06f54-beae-435b-a57c-cef53159f0c2\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-93f06f54-beae-435b-a57c-cef53159f0c2')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-93f06f54-beae-435b-a57c-cef53159f0c2 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 220
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "world_cnt = list(world.loc[:, 'text_pos_filter'])\n",
        "world_cnt = [data for inner_list in world_cnt for data in inner_list]\n",
        "world_cnt = word_count(world_cnt)\n",
        "world_cnt[:30]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "996a2052-463a-4dc1-de49-c24bba335d0d",
        "id": "UnYBsKq59xV4"
      },
      "execution_count": 221,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('종합', 121),\n",
              " ('트럼프', 94),\n",
              " ('이란', 80),\n",
              " ('터키', 44),\n",
              " ('미국', 42),\n",
              " ('시리아', 40),\n",
              " ('공격', 36),\n",
              " ('정부', 35),\n",
              " ('중국', 35),\n",
              " ('사망', 33),\n",
              " ('시위', 29),\n",
              " ('총리', 29),\n",
              " ('홍콩', 28),\n",
              " ('테러', 27),\n",
              " ('이스라엘', 26),\n",
              " ('대선', 26),\n",
              " ('사우디', 25),\n",
              " ('대통령', 24),\n",
              " ('제재', 23),\n",
              " ('일본', 22),\n",
              " ('하다', 21),\n",
              " ('협상', 21),\n",
              " ('합의', 20),\n",
              " ('힐러리', 20),\n",
              " ('러시아', 19),\n",
              " ('없다', 18),\n",
              " ('이라크', 18),\n",
              " ('오바마', 18),\n",
              " ('난민', 18),\n",
              " ('추진', 18)]"
            ]
          },
          "metadata": {},
          "execution_count": 221
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(world_cnt)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9edd65a3-9a28-428e-9bfc-2806a61942b9",
        "id": "5-bL3YCp9xV4"
      },
      "execution_count": 222,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3314"
            ]
          },
          "metadata": {},
          "execution_count": 222
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "world_df = pd.DataFrame(world_cnt,columns=['word','cnt'])\n",
        "world_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "outputId": "7f9b2717-21ea-4f03-d324-1376654a4338",
        "id": "2KW9mvGt9xV5"
      },
      "execution_count": 223,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     word  cnt\n",
              "0      종합  121\n",
              "1     트럼프   94\n",
              "2      이란   80\n",
              "3      터키   44\n",
              "4      미국   42\n",
              "...   ...  ...\n",
              "3309   양회    1\n",
              "3310   초치    1\n",
              "3311  포르도    1\n",
              "3312   기체    1\n",
              "3313   주입    1\n",
              "\n",
              "[3314 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-e6e30bd7-6d3b-4a06-a271-44c0d0f6975a\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>cnt</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>종합</td>\n",
              "      <td>121</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>트럼프</td>\n",
              "      <td>94</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>이란</td>\n",
              "      <td>80</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>터키</td>\n",
              "      <td>44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>미국</td>\n",
              "      <td>42</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3309</th>\n",
              "      <td>양회</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3310</th>\n",
              "      <td>초치</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3311</th>\n",
              "      <td>포르도</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3312</th>\n",
              "      <td>기체</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3313</th>\n",
              "      <td>주입</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3314 rows × 2 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e6e30bd7-6d3b-4a06-a271-44c0d0f6975a')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-e6e30bd7-6d3b-4a06-a271-44c0d0f6975a button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-e6e30bd7-6d3b-4a06-a271-44c0d0f6975a');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-573c419f-9d1d-461b-b071-a3d7ca17ed59\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-573c419f-9d1d-461b-b071-a3d7ca17ed59')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-573c419f-9d1d-461b-b071-a3d7ca17ed59 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 223
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "world_drop_df = world_df[world_df['cnt']>9]\n",
        "world_drop_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "outputId": "a7ad2ec0-4901-48fb-c2c0-53d58297e74d",
        "id": "8dvTvXm69xV5"
      },
      "execution_count": 224,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   word  cnt\n",
              "0    종합  121\n",
              "1   트럼프   94\n",
              "2    이란   80\n",
              "3    터키   44\n",
              "4    미국   42\n",
              "..  ...  ...\n",
              "89   크다   10\n",
              "90   사고   10\n",
              "91   푸틴   10\n",
              "92  시진핑   10\n",
              "93   금지   10\n",
              "\n",
              "[94 rows x 2 columns]"
            ],
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              "      <th>0</th>\n",
              "      <td>종합</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>트럼프</td>\n",
              "      <td>94</td>\n",
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              "      <th>2</th>\n",
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              "      <td>80</td>\n",
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              "      <th>3</th>\n",
              "      <td>터키</td>\n",
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              "      <td>미국</td>\n",
              "      <td>42</td>\n",
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              "      <td>사고</td>\n",
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              "      <th>91</th>\n",
              "      <td>푸틴</td>\n",
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              "    <tr>\n",
              "      <th>92</th>\n",
              "      <td>시진핑</td>\n",
              "      <td>10</td>\n",
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              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>금지</td>\n",
              "      <td>10</td>\n",
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              "<p>94 rows × 2 columns</p>\n",
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              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "          + ' to learn more about interactive tables.';\n",
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              "\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "    height: 32px;\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      border-left-color: var(--fill-color);\n",
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              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-9a2a5f92-da57-4273-a685-d4bc33215e3a button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 224
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "world_df.to_csv('world_df.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "TJi1EoZK9xV5"
      },
      "execution_count": 225,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "world_drop_df.to_csv('world_drop_df.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "39oL0tCs9xV5"
      },
      "execution_count": 226,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 5) sport"
      ],
      "metadata": {
        "id": "3BS5YAie5U2U"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sport['text_pos_tagging'] = sport['text'].progress_apply(lambda x: pos_tagging(x))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "37e33503-bcb0-47ee-a837-0cc2bc838346",
        "id": "EOZuSG16-bYy"
      },
      "execution_count": 227,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 1000/1000 [00:01<00:00, 816.51it/s]\n",
            "<ipython-input-227-d32ea796387e>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sport['text_pos_tagging'] = sport['text'].progress_apply(lambda x: pos_tagging(x))\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sport"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "outputId": "690511a0-70b8-4ecd-e991-c40c6506772a",
        "id": "UqjEjRpA-bYy"
      },
      "execution_count": 228,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       ID                               text  target  \\\n",
              "5     ynat-v1_train_00005   배구연맹 이영일구 순천 KOVO커 부녕 대행업체 입찰 공고       5   \n",
              "15    ynat-v1_train_00015  부상 고려하지 않은 ZiPS 오타니 타자로 20홈런·투...       5   \n",
              "20    ynat-v1_train_00020      당대 최고 포수 양이지 올 시즌 성적 쩌도 신기함니다       5   \n",
              "21    ynat-v1_train_00021       월드컵 주장 기성용은 왜 거짓말쟁이라는 단어를 썼나       5   \n",
              "22    ynat-v1_train_00022   아시안게임 응원석엔 하나된 함성 벤치엔 우정의 미소…...       5   \n",
              "...                   ...                                ...     ...   \n",
              "6971  ynat-v1_train_06971      로하스 kt 최초의 사이클링히트…삼성에 10점차 대승       5   \n",
              "6985  ynat-v1_train_06985     바르사알라베스 국왕컵 결승 레알 마드리드 안방에선 안돼       5   \n",
              "6986  ynat-v1_train_06986   흥국생명 2위로도약…김희진 1점 IBK기업은행 5연패...       5   \n",
              "6994  ynat-v1_train_06994            월드컵 유니폼 입어본 선수들 가볍고 편하다       5   \n",
              "6995  ynat-v1_train_06995     힐만 SK 감독 고통스럽지만 내 상황 솔직히 알려야 해       5   \n",
              "\n",
              "                                                    url              date  \\\n",
              "5     https://sports.news.naver.com/news.nhn?oid=001...  2019.07.10 16:47   \n",
              "15    https://sports.news.naver.com/news.nhn?oid=001...  2019.02.06 09:50   \n",
              "20    https://sports.news.naver.com/news.nhn?oid=001...  2018.06.13 22:37   \n",
              "21    https://sports.news.naver.com/news.nhn?oid=001...  2018.06.08 06:05   \n",
              "22    https://sports.news.naver.com/news.nhn?oid=001...  2018.08.15 23:34   \n",
              "...                                                 ...               ...   \n",
              "6971  https://sports.news.naver.com/news.nhn?oid=001...  2018.05.29 22:41   \n",
              "6985  https://sports.news.naver.com/news.nhn?oid=001...  2017.02.14 09:24   \n",
              "6986  https://sports.news.naver.com/news.nhn?oid=001...  2019.11.10 17:28   \n",
              "6994  https://sports.news.naver.com/news.nhn?oid=001...  2018.03.23 05:47   \n",
              "6995  https://sports.news.naver.com/news.nhn?oid=001...  2018.10.13 15:46   \n",
              "\n",
              "                                       text_pos_tagging  \\\n",
              "5     [(배구, NNG, 0, 2), (연맹, NNG, 2, 2), (이영일, NNP, ...   \n",
              "15    [(부상, NNG, 0, 2), (고려, NNG, 3, 2), (하, XSV, 5,...   \n",
              "20    [(당대, NNG, 0, 2), (최고, NNG, 3, 2), (포수, NNG, 6...   \n",
              "21    [(월드컵, NNG, 0, 3), (주장, NNG, 4, 2), (기성용, NNP,...   \n",
              "22    [(아시안, NNP, 0, 3), (게임, NNG, 3, 2), (응원석, NNG,...   \n",
              "...                                                 ...   \n",
              "6971  [(로하스, NNP, 0, 3), (kt, SL, 4, 2), (최초, NNG, 7...   \n",
              "6985  [(바르사알라베스, NNP, 0, 7), (국왕, NNG, 8, 2), (컵, NN...   \n",
              "6986  [(흥국생명, NNP, 0, 4), (2, SN, 5, 1), (위, NNB, 6,...   \n",
              "6994  [(월드컵, NNG, 0, 3), (유니폼, NNG, 4, 3), (입, VV-R,...   \n",
              "6995  [(힐, NNP, 0, 1), (만, JX, 1, 1), (SK, SL, 3, 2)...   \n",
              "\n",
              "                              text_pos_filter  \n",
              "5     [배구, 연맹, 이영일, 순천, 크다, 부녕, 대행업체, 입찰, 공고]  \n",
              "15                       [부상, 고려, 오타, 타자, 홈런]  \n",
              "20                 [당대, 최고, 포수, 시즌, 성적, 신기하다]  \n",
              "21                [월드컵, 주장, 기성용, 거짓말, 단어, 쓰다]  \n",
              "22         [아시안, 게임, 응원석, 되다, 함성, 벤치, 우정, 미소]  \n",
              "...                                       ...  \n",
              "6971              [로하스, 최초, 사이클링, 히트, 삼성, 대승]  \n",
              "6985      [바르사알라베스, 국왕, 결승, 레알, 마드리드, 안방, 되다]  \n",
              "6986              [흥국생명, 도약, 김희, IBK기업은행, 연패]  \n",
              "6994                      [월드컵, 유니폼, 선수, 편하다]  \n",
              "6995                        [감독, 고통, 상황, 알리다]  \n",
              "\n",
              "[1000 rows x 7 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-1faef4fb-d2e6-428e-985e-68956e9f34c0\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>text</th>\n",
              "      <th>target</th>\n",
              "      <th>url</th>\n",
              "      <th>date</th>\n",
              "      <th>text_pos_tagging</th>\n",
              "      <th>text_pos_filter</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>ynat-v1_train_00005</td>\n",
              "      <td>배구연맹 이영일구 순천 KOVO커 부녕 대행업체 입찰 공고</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2019.07.10 16:47</td>\n",
              "      <td>[(배구, NNG, 0, 2), (연맹, NNG, 2, 2), (이영일, NNP, ...</td>\n",
              "      <td>[배구, 연맹, 이영일, 순천, 크다, 부녕, 대행업체, 입찰, 공고]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>ynat-v1_train_00015</td>\n",
              "      <td>부상 고려하지 않은 ZiPS 오타니 타자로 20홈런·투...</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2019.02.06 09:50</td>\n",
              "      <td>[(부상, NNG, 0, 2), (고려, NNG, 3, 2), (하, XSV, 5,...</td>\n",
              "      <td>[부상, 고려, 오타, 타자, 홈런]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>ynat-v1_train_00020</td>\n",
              "      <td>당대 최고 포수 양이지 올 시즌 성적 쩌도 신기함니다</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2018.06.13 22:37</td>\n",
              "      <td>[(당대, NNG, 0, 2), (최고, NNG, 3, 2), (포수, NNG, 6...</td>\n",
              "      <td>[당대, 최고, 포수, 시즌, 성적, 신기하다]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>ynat-v1_train_00021</td>\n",
              "      <td>월드컵 주장 기성용은 왜 거짓말쟁이라는 단어를 썼나</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2018.06.08 06:05</td>\n",
              "      <td>[(월드컵, NNG, 0, 3), (주장, NNG, 4, 2), (기성용, NNP,...</td>\n",
              "      <td>[월드컵, 주장, 기성용, 거짓말, 단어, 쓰다]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>ynat-v1_train_00022</td>\n",
              "      <td>아시안게임 응원석엔 하나된 함성 벤치엔 우정의 미소…...</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2018.08.15 23:34</td>\n",
              "      <td>[(아시안, NNP, 0, 3), (게임, NNG, 3, 2), (응원석, NNG,...</td>\n",
              "      <td>[아시안, 게임, 응원석, 되다, 함성, 벤치, 우정, 미소]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6971</th>\n",
              "      <td>ynat-v1_train_06971</td>\n",
              "      <td>로하스 kt 최초의 사이클링히트…삼성에 10점차 대승</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2018.05.29 22:41</td>\n",
              "      <td>[(로하스, NNP, 0, 3), (kt, SL, 4, 2), (최초, NNG, 7...</td>\n",
              "      <td>[로하스, 최초, 사이클링, 히트, 삼성, 대승]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6985</th>\n",
              "      <td>ynat-v1_train_06985</td>\n",
              "      <td>바르사알라베스 국왕컵 결승 레알 마드리드 안방에선 안돼</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2017.02.14 09:24</td>\n",
              "      <td>[(바르사알라베스, NNP, 0, 7), (국왕, NNG, 8, 2), (컵, NN...</td>\n",
              "      <td>[바르사알라베스, 국왕, 결승, 레알, 마드리드, 안방, 되다]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6986</th>\n",
              "      <td>ynat-v1_train_06986</td>\n",
              "      <td>흥국생명 2위로도약…김희진 1점 IBK기업은행 5연패...</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2019.11.10 17:28</td>\n",
              "      <td>[(흥국생명, NNP, 0, 4), (2, SN, 5, 1), (위, NNB, 6,...</td>\n",
              "      <td>[흥국생명, 도약, 김희, IBK기업은행, 연패]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6994</th>\n",
              "      <td>ynat-v1_train_06994</td>\n",
              "      <td>월드컵 유니폼 입어본 선수들 가볍고 편하다</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2018.03.23 05:47</td>\n",
              "      <td>[(월드컵, NNG, 0, 3), (유니폼, NNG, 4, 3), (입, VV-R,...</td>\n",
              "      <td>[월드컵, 유니폼, 선수, 편하다]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6995</th>\n",
              "      <td>ynat-v1_train_06995</td>\n",
              "      <td>힐만 SK 감독 고통스럽지만 내 상황 솔직히 알려야 해</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2018.10.13 15:46</td>\n",
              "      <td>[(힐, NNP, 0, 1), (만, JX, 1, 1), (SK, SL, 3, 2)...</td>\n",
              "      <td>[감독, 고통, 상황, 알리다]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 7 columns</p>\n",
              "</div>\n",
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              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-1faef4fb-d2e6-428e-985e-68956e9f34c0');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "        element.appendChild(docLink);\n",
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              "\n",
              "\n",
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              "      --disabled-fill-color: #666;\n",
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              "\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-4fd10c53-24e1-42b8-bef0-a1a105c137da button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 228
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sport['text_pos_filter'] = pos_filter(sport,'text_pos_tagging')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0a3fbcf1-b474-45fa-9084-23c802d1e125",
        "id": "YbPMKX0o-bYy"
      },
      "execution_count": 229,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "1000it [00:00, 9353.00it/s]\n",
            "<ipython-input-229-b4bc8a70c9c5>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sport['text_pos_filter'] = pos_filter(sport,'text_pos_tagging')\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sport"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "outputId": "6d941dc8-b1b5-4ac4-bc95-2909bc0fdab2",
        "id": "3FroHX_v-bYy"
      },
      "execution_count": 230,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       ID                               text  target  \\\n",
              "5     ynat-v1_train_00005   배구연맹 이영일구 순천 KOVO커 부녕 대행업체 입찰 공고       5   \n",
              "15    ynat-v1_train_00015  부상 고려하지 않은 ZiPS 오타니 타자로 20홈런·투...       5   \n",
              "20    ynat-v1_train_00020      당대 최고 포수 양이지 올 시즌 성적 쩌도 신기함니다       5   \n",
              "21    ynat-v1_train_00021       월드컵 주장 기성용은 왜 거짓말쟁이라는 단어를 썼나       5   \n",
              "22    ynat-v1_train_00022   아시안게임 응원석엔 하나된 함성 벤치엔 우정의 미소…...       5   \n",
              "...                   ...                                ...     ...   \n",
              "6971  ynat-v1_train_06971      로하스 kt 최초의 사이클링히트…삼성에 10점차 대승       5   \n",
              "6985  ynat-v1_train_06985     바르사알라베스 국왕컵 결승 레알 마드리드 안방에선 안돼       5   \n",
              "6986  ynat-v1_train_06986   흥국생명 2위로도약…김희진 1점 IBK기업은행 5연패...       5   \n",
              "6994  ynat-v1_train_06994            월드컵 유니폼 입어본 선수들 가볍고 편하다       5   \n",
              "6995  ynat-v1_train_06995     힐만 SK 감독 고통스럽지만 내 상황 솔직히 알려야 해       5   \n",
              "\n",
              "                                                    url              date  \\\n",
              "5     https://sports.news.naver.com/news.nhn?oid=001...  2019.07.10 16:47   \n",
              "15    https://sports.news.naver.com/news.nhn?oid=001...  2019.02.06 09:50   \n",
              "20    https://sports.news.naver.com/news.nhn?oid=001...  2018.06.13 22:37   \n",
              "21    https://sports.news.naver.com/news.nhn?oid=001...  2018.06.08 06:05   \n",
              "22    https://sports.news.naver.com/news.nhn?oid=001...  2018.08.15 23:34   \n",
              "...                                                 ...               ...   \n",
              "6971  https://sports.news.naver.com/news.nhn?oid=001...  2018.05.29 22:41   \n",
              "6985  https://sports.news.naver.com/news.nhn?oid=001...  2017.02.14 09:24   \n",
              "6986  https://sports.news.naver.com/news.nhn?oid=001...  2019.11.10 17:28   \n",
              "6994  https://sports.news.naver.com/news.nhn?oid=001...  2018.03.23 05:47   \n",
              "6995  https://sports.news.naver.com/news.nhn?oid=001...  2018.10.13 15:46   \n",
              "\n",
              "                                       text_pos_tagging  \\\n",
              "5     [(배구, NNG, 0, 2), (연맹, NNG, 2, 2), (이영일, NNP, ...   \n",
              "15    [(부상, NNG, 0, 2), (고려, NNG, 3, 2), (하, XSV, 5,...   \n",
              "20    [(당대, NNG, 0, 2), (최고, NNG, 3, 2), (포수, NNG, 6...   \n",
              "21    [(월드컵, NNG, 0, 3), (주장, NNG, 4, 2), (기성용, NNP,...   \n",
              "22    [(아시안, NNP, 0, 3), (게임, NNG, 3, 2), (응원석, NNG,...   \n",
              "...                                                 ...   \n",
              "6971  [(로하스, NNP, 0, 3), (kt, SL, 4, 2), (최초, NNG, 7...   \n",
              "6985  [(바르사알라베스, NNP, 0, 7), (국왕, NNG, 8, 2), (컵, NN...   \n",
              "6986  [(흥국생명, NNP, 0, 4), (2, SN, 5, 1), (위, NNB, 6,...   \n",
              "6994  [(월드컵, NNG, 0, 3), (유니폼, NNG, 4, 3), (입, VV-R,...   \n",
              "6995  [(힐, NNP, 0, 1), (만, JX, 1, 1), (SK, SL, 3, 2)...   \n",
              "\n",
              "                              text_pos_filter  \n",
              "5     [배구, 연맹, 이영일, 순천, 크다, 부녕, 대행업체, 입찰, 공고]  \n",
              "15                       [부상, 고려, 오타, 타자, 홈런]  \n",
              "20                 [당대, 최고, 포수, 시즌, 성적, 신기하다]  \n",
              "21                [월드컵, 주장, 기성용, 거짓말, 단어, 쓰다]  \n",
              "22         [아시안, 게임, 응원석, 되다, 함성, 벤치, 우정, 미소]  \n",
              "...                                       ...  \n",
              "6971              [로하스, 최초, 사이클링, 히트, 삼성, 대승]  \n",
              "6985      [바르사알라베스, 국왕, 결승, 레알, 마드리드, 안방, 되다]  \n",
              "6986              [흥국생명, 도약, 김희, IBK기업은행, 연패]  \n",
              "6994                      [월드컵, 유니폼, 선수, 편하다]  \n",
              "6995                        [감독, 고통, 상황, 알리다]  \n",
              "\n",
              "[1000 rows x 7 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-baee79de-a782-4a51-a19c-1fab2e4f2e29\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>text</th>\n",
              "      <th>target</th>\n",
              "      <th>url</th>\n",
              "      <th>date</th>\n",
              "      <th>text_pos_tagging</th>\n",
              "      <th>text_pos_filter</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>ynat-v1_train_00005</td>\n",
              "      <td>배구연맹 이영일구 순천 KOVO커 부녕 대행업체 입찰 공고</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2019.07.10 16:47</td>\n",
              "      <td>[(배구, NNG, 0, 2), (연맹, NNG, 2, 2), (이영일, NNP, ...</td>\n",
              "      <td>[배구, 연맹, 이영일, 순천, 크다, 부녕, 대행업체, 입찰, 공고]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>ynat-v1_train_00015</td>\n",
              "      <td>부상 고려하지 않은 ZiPS 오타니 타자로 20홈런·투...</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2019.02.06 09:50</td>\n",
              "      <td>[(부상, NNG, 0, 2), (고려, NNG, 3, 2), (하, XSV, 5,...</td>\n",
              "      <td>[부상, 고려, 오타, 타자, 홈런]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>ynat-v1_train_00020</td>\n",
              "      <td>당대 최고 포수 양이지 올 시즌 성적 쩌도 신기함니다</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2018.06.13 22:37</td>\n",
              "      <td>[(당대, NNG, 0, 2), (최고, NNG, 3, 2), (포수, NNG, 6...</td>\n",
              "      <td>[당대, 최고, 포수, 시즌, 성적, 신기하다]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>ynat-v1_train_00021</td>\n",
              "      <td>월드컵 주장 기성용은 왜 거짓말쟁이라는 단어를 썼나</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2018.06.08 06:05</td>\n",
              "      <td>[(월드컵, NNG, 0, 3), (주장, NNG, 4, 2), (기성용, NNP,...</td>\n",
              "      <td>[월드컵, 주장, 기성용, 거짓말, 단어, 쓰다]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>ynat-v1_train_00022</td>\n",
              "      <td>아시안게임 응원석엔 하나된 함성 벤치엔 우정의 미소…...</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2018.08.15 23:34</td>\n",
              "      <td>[(아시안, NNP, 0, 3), (게임, NNG, 3, 2), (응원석, NNG,...</td>\n",
              "      <td>[아시안, 게임, 응원석, 되다, 함성, 벤치, 우정, 미소]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6971</th>\n",
              "      <td>ynat-v1_train_06971</td>\n",
              "      <td>로하스 kt 최초의 사이클링히트…삼성에 10점차 대승</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2018.05.29 22:41</td>\n",
              "      <td>[(로하스, NNP, 0, 3), (kt, SL, 4, 2), (최초, NNG, 7...</td>\n",
              "      <td>[로하스, 최초, 사이클링, 히트, 삼성, 대승]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6985</th>\n",
              "      <td>ynat-v1_train_06985</td>\n",
              "      <td>바르사알라베스 국왕컵 결승 레알 마드리드 안방에선 안돼</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2017.02.14 09:24</td>\n",
              "      <td>[(바르사알라베스, NNP, 0, 7), (국왕, NNG, 8, 2), (컵, NN...</td>\n",
              "      <td>[바르사알라베스, 국왕, 결승, 레알, 마드리드, 안방, 되다]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6986</th>\n",
              "      <td>ynat-v1_train_06986</td>\n",
              "      <td>흥국생명 2위로도약…김희진 1점 IBK기업은행 5연패...</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2019.11.10 17:28</td>\n",
              "      <td>[(흥국생명, NNP, 0, 4), (2, SN, 5, 1), (위, NNB, 6,...</td>\n",
              "      <td>[흥국생명, 도약, 김희, IBK기업은행, 연패]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6994</th>\n",
              "      <td>ynat-v1_train_06994</td>\n",
              "      <td>월드컵 유니폼 입어본 선수들 가볍고 편하다</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2018.03.23 05:47</td>\n",
              "      <td>[(월드컵, NNG, 0, 3), (유니폼, NNG, 4, 3), (입, VV-R,...</td>\n",
              "      <td>[월드컵, 유니폼, 선수, 편하다]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6995</th>\n",
              "      <td>ynat-v1_train_06995</td>\n",
              "      <td>힐만 SK 감독 고통스럽지만 내 상황 솔직히 알려야 해</td>\n",
              "      <td>5</td>\n",
              "      <td>https://sports.news.naver.com/news.nhn?oid=001...</td>\n",
              "      <td>2018.10.13 15:46</td>\n",
              "      <td>[(힐, NNP, 0, 1), (만, JX, 1, 1), (SK, SL, 3, 2)...</td>\n",
              "      <td>[감독, 고통, 상황, 알리다]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 7 columns</p>\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "    80% {\n",
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              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-257757f0-b7b4-4831-9657-757ca89c93fc button');\n",
              "      quickchartButtonEl.style.display =\n",
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              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 230
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sport_cnt = list(sport.loc[:, 'text_pos_filter'])\n",
        "sport_cnt = [data for inner_list in sport_cnt for data in inner_list]\n",
        "sport_cnt = word_count(sport_cnt)\n",
        "sport_cnt[:30]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c137cd99-2ea8-4bc8-aaa0-bb785914b6c0",
        "id": "stIbs2f9-bYz"
      },
      "execution_count": 231,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('감독', 97),\n",
              " ('농구', 81),\n",
              " ('프로', 71),\n",
              " ('경기', 69),\n",
              " ('배구', 66),\n",
              " ('월드컵', 61),\n",
              " ('여자', 57),\n",
              " ('축구', 56),\n",
              " ('선수', 55),\n",
              " ('시즌', 54),\n",
              " ('종합', 54),\n",
              " ('대표', 50),\n",
              " ('연승', 48),\n",
              " ('류현진', 47),\n",
              " ('리그', 42),\n",
              " ('홈런', 39),\n",
              " ('손흥민', 38),\n",
              " ('한국', 35),\n",
              " ('우승', 33),\n",
              " ('아시안', 28),\n",
              " ('꺾다', 28),\n",
              " ('출전', 28),\n",
              " ('연속', 28),\n",
              " ('연패', 27),\n",
              " ('승리', 27),\n",
              " ('게임', 26),\n",
              " ('야구', 25),\n",
              " ('두산', 25),\n",
              " ('추신수', 23),\n",
              " ('올림픽', 21)]"
            ]
          },
          "metadata": {},
          "execution_count": 231
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(sport_cnt)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "efd4446a-3b67-4412-9c73-341a0a2a9444",
        "id": "eL8DlE_S-bYz"
      },
      "execution_count": 232,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2640"
            ]
          },
          "metadata": {},
          "execution_count": 232
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sport_df = pd.DataFrame(sport_cnt,columns=['word','cnt'])\n",
        "sport_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "outputId": "89e556b9-5298-4027-b88d-f387ce4893b3",
        "id": "WO33NNrf-bYz"
      },
      "execution_count": 233,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         word  cnt\n",
              "0          감독   97\n",
              "1          농구   81\n",
              "2          프로   71\n",
              "3          경기   69\n",
              "4          배구   66\n",
              "...       ...  ...\n",
              "2635  바르사알라베스    1\n",
              "2636       김희    1\n",
              "2637      편하다    1\n",
              "2638       고통    1\n",
              "2639      알리다    1\n",
              "\n",
              "[2640 rows x 2 columns]"
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              "      <td>알리다</td>\n",
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              "<p>2640 rows × 2 columns</p>\n",
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              "                                                    [key], {});\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "      --disabled-fill-color: #666;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "    border-radius: 50%;\n",
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              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "  }\n",
              "\n",
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              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
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              "    border: 2px solid var(--fill-color);\n",
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              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
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              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    30% {\n",
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              "      border-left-color: var(--fill-color);\n",
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              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-caf2edcb-1dea-4a46-b3be-cef5a659122e button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 233
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sport_drop_df = sport_df[sport_df['cnt']>9]\n",
        "sport_drop_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "outputId": "9787ff86-5965-43cf-df9e-a51c8de29f22",
        "id": "W2WCRHQO-bYz"
      },
      "execution_count": 234,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   word  cnt\n",
              "0    감독   97\n",
              "1    농구   81\n",
              "2    프로   71\n",
              "3    경기   69\n",
              "4    배구   66\n",
              "..  ...  ...\n",
              "80   탈출   10\n",
              "81   상대   10\n",
              "82   최초   10\n",
              "83   대타   10\n",
              "84   선발   10\n",
              "\n",
              "[85 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
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              "    <div>\n",
              "<style scoped>\n",
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              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "\n",
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              "      <th>1</th>\n",
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              "      <th>3</th>\n",
              "      <td>경기</td>\n",
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              "      <th>4</th>\n",
              "      <td>배구</td>\n",
              "      <td>66</td>\n",
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              "    <tr>\n",
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              "      <td>...</td>\n",
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              "      <td>탈출</td>\n",
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              "      <th>82</th>\n",
              "      <td>최초</td>\n",
              "      <td>10</td>\n",
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              "      <th>83</th>\n",
              "      <td>대타</td>\n",
              "      <td>10</td>\n",
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              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>선발</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>85 rows × 2 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\n",
              "    <script>\n",
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              "        document.querySelector('#df-a91a563b-ca7c-471c-9051-42a27cdff6b8 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-a91a563b-ca7c-471c-9051-42a27cdff6b8');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "\n",
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              "\n",
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              "      --disabled-fill-color: #AAA;\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
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              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-619b3597-e447-4572-b216-9c5aaf32b27f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 234
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sport_df.to_csv('sport_df.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "Ycl02Lug-bYz"
      },
      "execution_count": 235,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sport_drop_df.to_csv('sport_drop_df.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "P7d70Wst-bYz"
      },
      "execution_count": 236,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 6) politics"
      ],
      "metadata": {
        "id": "9XXRvDCx5aQJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "politics['text_pos_tagging'] = politics['text'].progress_apply(lambda x: pos_tagging(x))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "bc42d850-a19e-445a-ea28-990e4d3787d8",
        "id": "vAyZLUt5-9Wv"
      },
      "execution_count": 237,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 1000/1000 [00:01<00:00, 620.69it/s]\n",
            "<ipython-input-237-53cd2ac22eac>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  politics['text_pos_tagging'] = politics['text'].progress_apply(lambda x: pos_tagging(x))\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "politics"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "58381827-4000-44da-a03f-62943b0ffc65",
        "id": "-mWmpoBB-9Wv"
      },
      "execution_count": 238,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       ID                             text  target  \\\n",
              "9     ynat-v1_train_00009            긴급비상대책위 참석하는 김병준과 나경원       6   \n",
              "14    ynat-v1_train_00014       北 한미일 연합훈련 비난…지배주의적 야망의 발로       6   \n",
              "32    ynat-v1_train_00032          황총리 안보위기 평화통일 전기되도록 할 것       6   \n",
              "33    ynat-v1_train_00033     한국 계파갈등 재연 조짐…연이틀 비대위·친박 신경전       6   \n",
              "39    ynat-v1_train_00039        불법·허위사실 vs 적법…곳곳서 여론조사 논란       6   \n",
              "...                   ...                              ...     ...   \n",
              "6990  ynat-v1_train_06990     바른정당 창당 일련…궁미네당과 통하 푸에 녁싸소그로       6   \n",
              "6993  ynat-v1_train_06993   새해 첫 NSC 상임위 개최…北제안 후속조치 마련 착수       6   \n",
              "6996  ynat-v1_train_06996   정의장 사드 국회동의 사안 아니라 쳐도 충분히 협의해야       6   \n",
              "6997  ynat-v1_train_06997         정치권 엘시티 수사 돌발변수에 촉각…왜 지금       6   \n",
              "6998  ynat-v1_train_06998  문 대통령 1987 관람…깜짝 방문에 객석 환호·박수종합       6   \n",
              "\n",
              "                                                    url                  date  \\\n",
              "9     https://news.naver.com/main/read.nhn?mode=LS2D...   2019.02.08. 오후 6:32   \n",
              "14    https://news.naver.com/main/read.nhn?mode=LS2D...  2016.10.22. 오후 10:16   \n",
              "32    https://news.naver.com/main/read.nhn?mode=LS2D...  2016.04.13. 오전 10:06   \n",
              "33    https://news.naver.com/main/read.nhn?mode=LS2D...   2018.11.01. 오후 3:07   \n",
              "39    https://news.naver.com/main/read.nhn?mode=LS2D...   2016.02.09. 오전 8:00   \n",
              "...                                                 ...                   ...   \n",
              "6990  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.01.21. 오전 8:00   \n",
              "6993  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.01.02. 오후 2:14   \n",
              "6996  https://news.naver.com/main/read.nhn?mode=LS2D...   2016.07.17. 오후 6:20   \n",
              "6997  https://news.naver.com/main/read.nhn?mode=LS2D...   2016.11.16. 오후 6:24   \n",
              "6998  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.01.07. 오후 5:23   \n",
              "\n",
              "                                       text_pos_tagging  \\\n",
              "9     [(긴급, NNG, 0, 2), (비상, NNG, 2, 2), (대책위, NNG, ...   \n",
              "14    [(北, SH, 0, 1), (한미일, NNP, 2, 3), (연합, NNG, 6,...   \n",
              "32    [(황, NNP, 0, 1), (총리, NNG, 1, 2), (안보, NNG, 4,...   \n",
              "33    [(한국, NNP, 0, 2), (계파, NNG, 3, 2), (갈등, NNG, 5...   \n",
              "39    [(불법, NNG, 0, 2), (·, SP, 2, 1), (허위, NNG, 3, ...   \n",
              "...                                                 ...   \n",
              "6990  [(바른정당, NNP, 0, 4), (창당, NNG, 5, 2), (일련, NNG,...   \n",
              "6993  [(새해, NNG, 0, 2), (첫, MM, 3, 1), (NSC, SL, 5, ...   \n",
              "6996  [(정, NNP, 0, 1), (의장, NNG, 1, 2), (사드, NNG, 4,...   \n",
              "6997  [(정치, NNG, 0, 2), (권, XSN, 2, 1), (엘시티, NNP, 4...   \n",
              "6998  [(문, NNP, 0, 1), (대통령, NNG, 2, 3), (1987, SN, ...   \n",
              "\n",
              "                          text_pos_filter  \n",
              "9             [긴급, 비상, 대책위, 참석, 김병준, 나경원]  \n",
              "14          [한미일, 연합, 훈련, 비난, 지배, 주의, 야망]  \n",
              "32               [총리, 안보, 위기, 평화, 통일, 전기]  \n",
              "33    [한국, 계파, 갈등, 재연, 조짐, 연이틀, 비대위, 신경전]  \n",
              "39       [불법, 허위, 사실, 적법, 곳곳, 여론, 조사, 논란]  \n",
              "...                                   ...  \n",
              "6990  [바른정당, 창당, 일련, …궁미네, 통하다, 푸에, 녁싸소그]  \n",
              "6993    [새해, 상임위, 개최, 제안, 후속, 조치, 마련, 착수]  \n",
              "6996         [의장, 사드, 국회, 동의, 사안, 치다, 협의]  \n",
              "6997            [정치, 엘시티, 수사, 돌발, 변수, 촉각]  \n",
              "6998        [대통령, 관람, 방문, 객석, 환호, 박수, 종합]  \n",
              "\n",
              "[1000 rows x 7 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-00505169-1c60-45ad-aa2d-07944b4dc406\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "\n",
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              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>text</th>\n",
              "      <th>target</th>\n",
              "      <th>url</th>\n",
              "      <th>date</th>\n",
              "      <th>text_pos_tagging</th>\n",
              "      <th>text_pos_filter</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>ynat-v1_train_00009</td>\n",
              "      <td>긴급비상대책위 참석하는 김병준과 나경원</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.02.08. 오후 6:32</td>\n",
              "      <td>[(긴급, NNG, 0, 2), (비상, NNG, 2, 2), (대책위, NNG, ...</td>\n",
              "      <td>[긴급, 비상, 대책위, 참석, 김병준, 나경원]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>ynat-v1_train_00014</td>\n",
              "      <td>北 한미일 연합훈련 비난…지배주의적 야망의 발로</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.10.22. 오후 10:16</td>\n",
              "      <td>[(北, SH, 0, 1), (한미일, NNP, 2, 3), (연합, NNG, 6,...</td>\n",
              "      <td>[한미일, 연합, 훈련, 비난, 지배, 주의, 야망]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>ynat-v1_train_00032</td>\n",
              "      <td>황총리 안보위기 평화통일 전기되도록 할 것</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.04.13. 오전 10:06</td>\n",
              "      <td>[(황, NNP, 0, 1), (총리, NNG, 1, 2), (안보, NNG, 4,...</td>\n",
              "      <td>[총리, 안보, 위기, 평화, 통일, 전기]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>ynat-v1_train_00033</td>\n",
              "      <td>한국 계파갈등 재연 조짐…연이틀 비대위·친박 신경전</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.11.01. 오후 3:07</td>\n",
              "      <td>[(한국, NNP, 0, 2), (계파, NNG, 3, 2), (갈등, NNG, 5...</td>\n",
              "      <td>[한국, 계파, 갈등, 재연, 조짐, 연이틀, 비대위, 신경전]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>ynat-v1_train_00039</td>\n",
              "      <td>불법·허위사실 vs 적법…곳곳서 여론조사 논란</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.02.09. 오전 8:00</td>\n",
              "      <td>[(불법, NNG, 0, 2), (·, SP, 2, 1), (허위, NNG, 3, ...</td>\n",
              "      <td>[불법, 허위, 사실, 적법, 곳곳, 여론, 조사, 논란]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6990</th>\n",
              "      <td>ynat-v1_train_06990</td>\n",
              "      <td>바른정당 창당 일련…궁미네당과 통하 푸에 녁싸소그로</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.01.21. 오전 8:00</td>\n",
              "      <td>[(바른정당, NNP, 0, 4), (창당, NNG, 5, 2), (일련, NNG,...</td>\n",
              "      <td>[바른정당, 창당, 일련, …궁미네, 통하다, 푸에, 녁싸소그]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6993</th>\n",
              "      <td>ynat-v1_train_06993</td>\n",
              "      <td>새해 첫 NSC 상임위 개최…北제안 후속조치 마련 착수</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.01.02. 오후 2:14</td>\n",
              "      <td>[(새해, NNG, 0, 2), (첫, MM, 3, 1), (NSC, SL, 5, ...</td>\n",
              "      <td>[새해, 상임위, 개최, 제안, 후속, 조치, 마련, 착수]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6996</th>\n",
              "      <td>ynat-v1_train_06996</td>\n",
              "      <td>정의장 사드 국회동의 사안 아니라 쳐도 충분히 협의해야</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.07.17. 오후 6:20</td>\n",
              "      <td>[(정, NNP, 0, 1), (의장, NNG, 1, 2), (사드, NNG, 4,...</td>\n",
              "      <td>[의장, 사드, 국회, 동의, 사안, 치다, 협의]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6997</th>\n",
              "      <td>ynat-v1_train_06997</td>\n",
              "      <td>정치권 엘시티 수사 돌발변수에 촉각…왜 지금</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.11.16. 오후 6:24</td>\n",
              "      <td>[(정치, NNG, 0, 2), (권, XSN, 2, 1), (엘시티, NNP, 4...</td>\n",
              "      <td>[정치, 엘시티, 수사, 돌발, 변수, 촉각]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6998</th>\n",
              "      <td>ynat-v1_train_06998</td>\n",
              "      <td>문 대통령 1987 관람…깜짝 방문에 객석 환호·박수종합</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.01.07. 오후 5:23</td>\n",
              "      <td>[(문, NNP, 0, 1), (대통령, NNG, 2, 3), (1987, SN, ...</td>\n",
              "      <td>[대통령, 관람, 방문, 객석, 환호, 박수, 종합]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 7 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-00505169-1c60-45ad-aa2d-07944b4dc406')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-00505169-1c60-45ad-aa2d-07944b4dc406 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-00505169-1c60-45ad-aa2d-07944b4dc406');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-c8baced4-8d1a-42c6-90c3-b119f9913150\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c8baced4-8d1a-42c6-90c3-b119f9913150')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-c8baced4-8d1a-42c6-90c3-b119f9913150 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 238
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "politics['text_pos_filter'] = pos_filter(politics,'text_pos_tagging')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "650c1e45-2a26-4f8e-b824-39ef11a68dc2",
        "id": "bR4_QRVE-9Wv"
      },
      "execution_count": 239,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "1000it [00:00, 9043.66it/s]\n",
            "<ipython-input-239-5df955c932b2>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  politics['text_pos_filter'] = pos_filter(politics,'text_pos_tagging')\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "politics"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "e960d889-8750-4722-dea8-aa2d4edf633e",
        "id": "s4Z3oQVm-9Ww"
      },
      "execution_count": 240,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       ID                             text  target  \\\n",
              "9     ynat-v1_train_00009            긴급비상대책위 참석하는 김병준과 나경원       6   \n",
              "14    ynat-v1_train_00014       北 한미일 연합훈련 비난…지배주의적 야망의 발로       6   \n",
              "32    ynat-v1_train_00032          황총리 안보위기 평화통일 전기되도록 할 것       6   \n",
              "33    ynat-v1_train_00033     한국 계파갈등 재연 조짐…연이틀 비대위·친박 신경전       6   \n",
              "39    ynat-v1_train_00039        불법·허위사실 vs 적법…곳곳서 여론조사 논란       6   \n",
              "...                   ...                              ...     ...   \n",
              "6990  ynat-v1_train_06990     바른정당 창당 일련…궁미네당과 통하 푸에 녁싸소그로       6   \n",
              "6993  ynat-v1_train_06993   새해 첫 NSC 상임위 개최…北제안 후속조치 마련 착수       6   \n",
              "6996  ynat-v1_train_06996   정의장 사드 국회동의 사안 아니라 쳐도 충분히 협의해야       6   \n",
              "6997  ynat-v1_train_06997         정치권 엘시티 수사 돌발변수에 촉각…왜 지금       6   \n",
              "6998  ynat-v1_train_06998  문 대통령 1987 관람…깜짝 방문에 객석 환호·박수종합       6   \n",
              "\n",
              "                                                    url                  date  \\\n",
              "9     https://news.naver.com/main/read.nhn?mode=LS2D...   2019.02.08. 오후 6:32   \n",
              "14    https://news.naver.com/main/read.nhn?mode=LS2D...  2016.10.22. 오후 10:16   \n",
              "32    https://news.naver.com/main/read.nhn?mode=LS2D...  2016.04.13. 오전 10:06   \n",
              "33    https://news.naver.com/main/read.nhn?mode=LS2D...   2018.11.01. 오후 3:07   \n",
              "39    https://news.naver.com/main/read.nhn?mode=LS2D...   2016.02.09. 오전 8:00   \n",
              "...                                                 ...                   ...   \n",
              "6990  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.01.21. 오전 8:00   \n",
              "6993  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.01.02. 오후 2:14   \n",
              "6996  https://news.naver.com/main/read.nhn?mode=LS2D...   2016.07.17. 오후 6:20   \n",
              "6997  https://news.naver.com/main/read.nhn?mode=LS2D...   2016.11.16. 오후 6:24   \n",
              "6998  https://news.naver.com/main/read.nhn?mode=LS2D...   2018.01.07. 오후 5:23   \n",
              "\n",
              "                                       text_pos_tagging  \\\n",
              "9     [(긴급, NNG, 0, 2), (비상, NNG, 2, 2), (대책위, NNG, ...   \n",
              "14    [(北, SH, 0, 1), (한미일, NNP, 2, 3), (연합, NNG, 6,...   \n",
              "32    [(황, NNP, 0, 1), (총리, NNG, 1, 2), (안보, NNG, 4,...   \n",
              "33    [(한국, NNP, 0, 2), (계파, NNG, 3, 2), (갈등, NNG, 5...   \n",
              "39    [(불법, NNG, 0, 2), (·, SP, 2, 1), (허위, NNG, 3, ...   \n",
              "...                                                 ...   \n",
              "6990  [(바른정당, NNP, 0, 4), (창당, NNG, 5, 2), (일련, NNG,...   \n",
              "6993  [(새해, NNG, 0, 2), (첫, MM, 3, 1), (NSC, SL, 5, ...   \n",
              "6996  [(정, NNP, 0, 1), (의장, NNG, 1, 2), (사드, NNG, 4,...   \n",
              "6997  [(정치, NNG, 0, 2), (권, XSN, 2, 1), (엘시티, NNP, 4...   \n",
              "6998  [(문, NNP, 0, 1), (대통령, NNG, 2, 3), (1987, SN, ...   \n",
              "\n",
              "                          text_pos_filter  \n",
              "9             [긴급, 비상, 대책위, 참석, 김병준, 나경원]  \n",
              "14          [한미일, 연합, 훈련, 비난, 지배, 주의, 야망]  \n",
              "32               [총리, 안보, 위기, 평화, 통일, 전기]  \n",
              "33    [한국, 계파, 갈등, 재연, 조짐, 연이틀, 비대위, 신경전]  \n",
              "39       [불법, 허위, 사실, 적법, 곳곳, 여론, 조사, 논란]  \n",
              "...                                   ...  \n",
              "6990  [바른정당, 창당, 일련, …궁미네, 통하다, 푸에, 녁싸소그]  \n",
              "6993    [새해, 상임위, 개최, 제안, 후속, 조치, 마련, 착수]  \n",
              "6996         [의장, 사드, 국회, 동의, 사안, 치다, 협의]  \n",
              "6997            [정치, 엘시티, 수사, 돌발, 변수, 촉각]  \n",
              "6998        [대통령, 관람, 방문, 객석, 환호, 박수, 종합]  \n",
              "\n",
              "[1000 rows x 7 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-4388849c-05c3-4ff9-81d0-b7ebceae001c\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>text</th>\n",
              "      <th>target</th>\n",
              "      <th>url</th>\n",
              "      <th>date</th>\n",
              "      <th>text_pos_tagging</th>\n",
              "      <th>text_pos_filter</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>ynat-v1_train_00009</td>\n",
              "      <td>긴급비상대책위 참석하는 김병준과 나경원</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2019.02.08. 오후 6:32</td>\n",
              "      <td>[(긴급, NNG, 0, 2), (비상, NNG, 2, 2), (대책위, NNG, ...</td>\n",
              "      <td>[긴급, 비상, 대책위, 참석, 김병준, 나경원]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>ynat-v1_train_00014</td>\n",
              "      <td>北 한미일 연합훈련 비난…지배주의적 야망의 발로</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.10.22. 오후 10:16</td>\n",
              "      <td>[(北, SH, 0, 1), (한미일, NNP, 2, 3), (연합, NNG, 6,...</td>\n",
              "      <td>[한미일, 연합, 훈련, 비난, 지배, 주의, 야망]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>ynat-v1_train_00032</td>\n",
              "      <td>황총리 안보위기 평화통일 전기되도록 할 것</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.04.13. 오전 10:06</td>\n",
              "      <td>[(황, NNP, 0, 1), (총리, NNG, 1, 2), (안보, NNG, 4,...</td>\n",
              "      <td>[총리, 안보, 위기, 평화, 통일, 전기]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>ynat-v1_train_00033</td>\n",
              "      <td>한국 계파갈등 재연 조짐…연이틀 비대위·친박 신경전</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.11.01. 오후 3:07</td>\n",
              "      <td>[(한국, NNP, 0, 2), (계파, NNG, 3, 2), (갈등, NNG, 5...</td>\n",
              "      <td>[한국, 계파, 갈등, 재연, 조짐, 연이틀, 비대위, 신경전]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>ynat-v1_train_00039</td>\n",
              "      <td>불법·허위사실 vs 적법…곳곳서 여론조사 논란</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.02.09. 오전 8:00</td>\n",
              "      <td>[(불법, NNG, 0, 2), (·, SP, 2, 1), (허위, NNG, 3, ...</td>\n",
              "      <td>[불법, 허위, 사실, 적법, 곳곳, 여론, 조사, 논란]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6990</th>\n",
              "      <td>ynat-v1_train_06990</td>\n",
              "      <td>바른정당 창당 일련…궁미네당과 통하 푸에 녁싸소그로</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.01.21. 오전 8:00</td>\n",
              "      <td>[(바른정당, NNP, 0, 4), (창당, NNG, 5, 2), (일련, NNG,...</td>\n",
              "      <td>[바른정당, 창당, 일련, …궁미네, 통하다, 푸에, 녁싸소그]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6993</th>\n",
              "      <td>ynat-v1_train_06993</td>\n",
              "      <td>새해 첫 NSC 상임위 개최…北제안 후속조치 마련 착수</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.01.02. 오후 2:14</td>\n",
              "      <td>[(새해, NNG, 0, 2), (첫, MM, 3, 1), (NSC, SL, 5, ...</td>\n",
              "      <td>[새해, 상임위, 개최, 제안, 후속, 조치, 마련, 착수]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6996</th>\n",
              "      <td>ynat-v1_train_06996</td>\n",
              "      <td>정의장 사드 국회동의 사안 아니라 쳐도 충분히 협의해야</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.07.17. 오후 6:20</td>\n",
              "      <td>[(정, NNP, 0, 1), (의장, NNG, 1, 2), (사드, NNG, 4,...</td>\n",
              "      <td>[의장, 사드, 국회, 동의, 사안, 치다, 협의]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6997</th>\n",
              "      <td>ynat-v1_train_06997</td>\n",
              "      <td>정치권 엘시티 수사 돌발변수에 촉각…왜 지금</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2016.11.16. 오후 6:24</td>\n",
              "      <td>[(정치, NNG, 0, 2), (권, XSN, 2, 1), (엘시티, NNP, 4...</td>\n",
              "      <td>[정치, 엘시티, 수사, 돌발, 변수, 촉각]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6998</th>\n",
              "      <td>ynat-v1_train_06998</td>\n",
              "      <td>문 대통령 1987 관람…깜짝 방문에 객석 환호·박수종합</td>\n",
              "      <td>6</td>\n",
              "      <td>https://news.naver.com/main/read.nhn?mode=LS2D...</td>\n",
              "      <td>2018.01.07. 오후 5:23</td>\n",
              "      <td>[(문, NNP, 0, 1), (대통령, NNG, 2, 3), (1987, SN, ...</td>\n",
              "      <td>[대통령, 관람, 방문, 객석, 환호, 박수, 종합]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 7 columns</p>\n",
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              "        document.querySelector('#df-4388849c-05c3-4ff9-81d0-b7ebceae001c button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-4388849c-05c3-4ff9-81d0-b7ebceae001c');\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "    0% {\n",
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              "      border-right-color: var(--fill-color);\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-1dbf063f-98c0-4799-885e-9eb18e801623 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 240
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "politics_cnt = list(politics.loc[:, 'text_pos_filter'])\n",
        "politics_cnt = [data for inner_list in politics_cnt for data in inner_list]\n",
        "politics_cnt = word_count(politics_cnt)\n",
        "politics_cnt[:30]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "be513c24-0278-417d-9166-f20b3f013d08",
        "id": "yQ4AAUA2-9Ww"
      },
      "execution_count": 241,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('대통령', 187),\n",
              " ('종합', 145),\n",
              " ('회담', 65),\n",
              " ('정상', 63),\n",
              " ('국회', 56),\n",
              " ('김정은', 38),\n",
              " ('정부', 36),\n",
              " ('대표', 34),\n",
              " ('남북', 31),\n",
              " ('여야', 30),\n",
              " ('하다', 30),\n",
              " ('평양', 29),\n",
              " ('회의', 29),\n",
              " ('의원', 27),\n",
              " ('북한', 26),\n",
              " ('선거', 26),\n",
              " ('한국당', 25),\n",
              " ('없다', 25),\n",
              " ('가능', 25),\n",
              " ('총리', 24),\n",
              " ('장관', 24),\n",
              " ('선언', 23),\n",
              " ('민주', 23),\n",
              " ('방문', 22),\n",
              " ('국민', 22),\n",
              " ('대회', 21),\n",
              " ('대화', 21),\n",
              " ('평화', 20),\n",
              " ('더민주', 18),\n",
              " ('대북', 18)]"
            ]
          },
          "metadata": {},
          "execution_count": 241
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(politics_cnt)"
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        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0eea1576-3ab0-4bf2-eadd-ce669e9d5cee",
        "id": "_cn0Sgrf-9Ww"
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      "execution_count": 242,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2977"
            ]
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          "metadata": {},
          "execution_count": 242
        }
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    {
      "cell_type": "code",
      "source": [
        "politics_df = pd.DataFrame(politics_cnt,columns=['word','cnt'])\n",
        "politics_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "outputId": "26d50f00-ac17-4e5e-b887-09c151d7f958",
        "id": "OT4xbZ_V-9Ww"
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      "execution_count": 243,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      word  cnt\n",
              "0      대통령  187\n",
              "1       종합  145\n",
              "2       회담   65\n",
              "3       정상   63\n",
              "4       국회   56\n",
              "...    ...  ...\n",
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            ]
          },
          "metadata": {},
          "execution_count": 243
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "politics_drop_df = politics_df[politics_df['cnt']>9]\n",
        "politics_drop_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "outputId": "3d50d9a7-7bff-4bc9-d187-3a1cdf47ac00",
        "id": "c-ZUOksX-9Ww"
      },
      "execution_count": 244,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   word  cnt\n",
              "0   대통령  187\n",
              "1    종합  145\n",
              "2    회담   65\n",
              "3    정상   63\n",
              "4    국회   56\n",
              "..  ...  ...\n",
              "86   개헌   10\n",
              "87  김종인   10\n",
              "88   있다   10\n",
              "89   채택   10\n",
              "90   오후   10\n",
              "\n",
              "[91 rows x 2 columns]"
            ],
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              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-97e5e329-64e9-4105-ba5a-e6c322ad8ee5\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-97e5e329-64e9-4105-ba5a-e6c322ad8ee5')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
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              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-97e5e329-64e9-4105-ba5a-e6c322ad8ee5 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 244
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "politics_df.to_csv('politics_df.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "eiJKkUcY-9Ww"
      },
      "execution_count": 245,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "politics_drop_df.to_csv('politics_drop_df.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "8yDntp0e-9Ww"
      },
      "execution_count": 259,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 합쳐서 비율 확인(**_drop_df)"
      ],
      "metadata": {
        "id": "MvDOC3L1_cNA"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 열 이름 변경"
      ],
      "metadata": {
        "id": "MKgnQ0HPAgQ5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "it_science_drop_df = it_science_drop_df.rename(columns={'cnt':'it_science_cnt'})"
      ],
      "metadata": {
        "id": "24s6p-c2_VL9"
      },
      "execution_count": 251,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "it_science_drop_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "yYF-W2zL_-tR",
        "outputId": "b97df3ba-a464-414f-da0e-48e53178edd8"
      },
      "execution_count": 252,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    word  it_science_cnt\n",
              "0     출시             100\n",
              "1     개발              80\n",
              "2     기술              74\n",
              "3     종합              69\n",
              "4     삼성              47\n",
              "..   ...             ...\n",
              "84    공동              10\n",
              "85    확인              10\n",
              "86   알파고              10\n",
              "87    활용              10\n",
              "88  프리미엄              10\n",
              "\n",
              "[89 rows x 2 columns]"
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              "      <td>10</td>\n",
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              "<p>89 rows × 2 columns</p>\n",
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              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
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              "        const element = document.querySelector('#df-4688423b-4bea-45dc-953c-b0062456b2e3');\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
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              "      border-top-color: var(--fill-color);\n",
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              "    40% {\n",
              "      border-color: transparent;\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "    }\n",
              "  }\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-27f7e62d-de2b-4839-911a-d1285da46f36 button');\n",
              "      quickchartButtonEl.style.display =\n",
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              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 252
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "economy_drop_df = economy_drop_df.rename(columns={'cnt':'economy_cnt'})\n",
        "economy_drop_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "uPDevL2EAWx2",
        "outputId": "9f96d101-8a83-438e-9d6f-ba457324fc7e"
      },
      "execution_count": 253,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    word  economy_cnt\n",
              "0     종합           92\n",
              "1     분기           91\n",
              "2     투자           71\n",
              "3     작년           48\n",
              "4     실적           44\n",
              "..   ...          ...\n",
              "101   개월           10\n",
              "102   추가           10\n",
              "103   개선           10\n",
              "104   업체           10\n",
              "105   수익           10\n",
              "\n",
              "[106 rows x 2 columns]"
            ],
            "text/html": [
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              "  <div id=\"df-90b114f8-5103-4eba-9390-d3eb15fcff3f\" class=\"colab-df-container\">\n",
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>economy_cnt</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>종합</td>\n",
              "      <td>92</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>분기</td>\n",
              "      <td>91</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>투자</td>\n",
              "      <td>71</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>작년</td>\n",
              "      <td>48</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>실적</td>\n",
              "      <td>44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>101</th>\n",
              "      <td>개월</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>102</th>\n",
              "      <td>추가</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>103</th>\n",
              "      <td>개선</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>104</th>\n",
              "      <td>업체</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>105</th>\n",
              "      <td>수익</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>106 rows × 2 columns</p>\n",
              "</div>\n",
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              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
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              "\n",
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              "\n",
              "    .colab-df-buttons div {\n",
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              "\n",
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              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-90b114f8-5103-4eba-9390-d3eb15fcff3f');\n",
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              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "\n",
              "\n",
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              "            style=\"display:none;\">\n",
              "\n",
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              "  </button>\n",
              "\n",
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              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
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              "      --disabled-bg-color: #DDD;\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
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              "\n",
              "  .colab-df-spinner {\n",
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              "      spin 1s steps(1) infinite;\n",
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              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "      border-left-color: var(--fill-color);\n",
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              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-f4cf5ff3-ce84-4f70-bebf-28a061c62c68 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 253
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "society_drop_df = society_drop_df.rename(columns={'cnt':'society_cnt'})\n",
        "society_drop_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "mkmMB5BFAVLi",
        "outputId": "0d1030aa-0db1-4876-a93e-93b675665bf7"
      },
      "execution_count": 254,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   word  society_cnt\n",
              "0    종합           77\n",
              "1   게시판           43\n",
              "2   코로나           40\n",
              "3    지원           29\n",
              "4    한국           24\n",
              "..  ...          ...\n",
              "78   등교           10\n",
              "79   정책           10\n",
              "80   시민           10\n",
              "81  간담회           10\n",
              "82   주년           10\n",
              "\n",
              "[83 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
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              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>society_cnt</th>\n",
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              "      <th>0</th>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
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              "      <td>43</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>코로나</td>\n",
              "      <td>40</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>지원</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
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              "      <th>4</th>\n",
              "      <td>한국</td>\n",
              "      <td>24</td>\n",
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              "      <td>등교</td>\n",
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              "      <th>79</th>\n",
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              "      <th>82</th>\n",
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              "      <td>10</td>\n",
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              "<p>83 rows × 2 columns</p>\n",
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              "        const element = document.querySelector('#df-241c2e34-4982-4578-9f66-ba77d34a4726');\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
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              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-e55f0b26-bf3c-48f3-b89a-4116cc302f38 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 254
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "culture_drop_df = culture_drop_df.rename(columns={'cnt':'culture_cnt'})\n",
        "culture_drop_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "C5at2MckApGj",
        "outputId": "5d579df2-cfbb-4478-e96a-0030e1dfad91"
      },
      "execution_count": 255,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   word  culture_cnt\n",
              "0    신간          103\n",
              "1    여행           48\n",
              "2    축제           44\n",
              "3    서울           39\n",
              "4    공연           38\n",
              "..  ...          ...\n",
              "68   남부           10\n",
              "69   서다           10\n",
              "70   예술           10\n",
              "71   국제           10\n",
              "72   기념           10\n",
              "\n",
              "[73 rows x 2 columns]"
            ],
            "text/html": [
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              "      <th>culture_cnt</th>\n",
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              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>신간</td>\n",
              "      <td>103</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>여행</td>\n",
              "      <td>48</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>축제</td>\n",
              "      <td>44</td>\n",
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              "      <th>3</th>\n",
              "      <td>서울</td>\n",
              "      <td>39</td>\n",
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              "      <th>4</th>\n",
              "      <td>공연</td>\n",
              "      <td>38</td>\n",
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              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>68</th>\n",
              "      <td>남부</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>69</th>\n",
              "      <td>서다</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>70</th>\n",
              "      <td>예술</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71</th>\n",
              "      <td>국제</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>기념</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>73 rows × 2 columns</p>\n",
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              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "\n",
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              "      const buttonEl =\n",
              "        document.querySelector('#df-12e6284e-9418-4d24-b6b9-ffa87c628fdb button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-12e6284e-9418-4d24-b6b9-ffa87c628fdb');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "        docLink.innerHTML = docLinkHtml;\n",
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              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
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              "      --hover-bg-color: #E2EBFA;\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
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              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-910bdaae-8f6d-4b79-ab5c-fd87eb94150c button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 255
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "world_drop_df = world_drop_df.rename(columns={'cnt':'world_cnt'})\n",
        "world_drop_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "rsLvZ15IB4XJ",
        "outputId": "fbd349d0-0e3a-4cce-f59f-4999a4ba824f"
      },
      "execution_count": 256,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   word  world_cnt\n",
              "0    종합        121\n",
              "1   트럼프         94\n",
              "2    이란         80\n",
              "3    터키         44\n",
              "4    미국         42\n",
              "..  ...        ...\n",
              "89   크다         10\n",
              "90   사고         10\n",
              "91   푸틴         10\n",
              "92  시진핑         10\n",
              "93   금지         10\n",
              "\n",
              "[94 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-0e440ba2-b0af-4e16-9728-0dfc2a4f4ac5\" class=\"colab-df-container\">\n",
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "      <th>2</th>\n",
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              "      <th>3</th>\n",
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              "      <td>크다</td>\n",
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              "    <tr>\n",
              "      <th>90</th>\n",
              "      <td>사고</td>\n",
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              "    <tr>\n",
              "      <th>91</th>\n",
              "      <td>푸틴</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
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              "      <th>92</th>\n",
              "      <td>시진핑</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>금지</td>\n",
              "      <td>10</td>\n",
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              "  </tbody>\n",
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              "<p>94 rows × 2 columns</p>\n",
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              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-0e440ba2-b0af-4e16-9728-0dfc2a4f4ac5 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-0e440ba2-b0af-4e16-9728-0dfc2a4f4ac5');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-51ebf9c3-6221-4f70-9c3f-79082c7fc456\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-51ebf9c3-6221-4f70-9c3f-79082c7fc456')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-51ebf9c3-6221-4f70-9c3f-79082c7fc456 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 256
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sport_drop_df = sport_drop_df.rename(columns={'cnt':'sport_cnt'})\n",
        "sport_drop_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "HAAqzL7wB9o5",
        "outputId": "99379d39-7c66-4011-bc6d-c4ecbb051143"
      },
      "execution_count": 257,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   word  sport_cnt\n",
              "0    감독         97\n",
              "1    농구         81\n",
              "2    프로         71\n",
              "3    경기         69\n",
              "4    배구         66\n",
              "..  ...        ...\n",
              "80   탈출         10\n",
              "81   상대         10\n",
              "82   최초         10\n",
              "83   대타         10\n",
              "84   선발         10\n",
              "\n",
              "[85 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-de8c21ac-119a-4f3e-b5a9-aefdeb83d3d5\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>sport_cnt</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>감독</td>\n",
              "      <td>97</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>농구</td>\n",
              "      <td>81</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>프로</td>\n",
              "      <td>71</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>경기</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>배구</td>\n",
              "      <td>66</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>탈출</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>81</th>\n",
              "      <td>상대</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>최초</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>대타</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>선발</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>85 rows × 2 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-de8c21ac-119a-4f3e-b5a9-aefdeb83d3d5')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-de8c21ac-119a-4f3e-b5a9-aefdeb83d3d5 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-de8c21ac-119a-4f3e-b5a9-aefdeb83d3d5');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-05d473f3-801a-406d-8984-8a2e2b62dae6\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-05d473f3-801a-406d-8984-8a2e2b62dae6')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-05d473f3-801a-406d-8984-8a2e2b62dae6 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 257
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "politics_drop_df = politics_drop_df.rename(columns={'cnt':'politics_cnt'})\n",
        "politics_drop_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "Yw89IEtLCK9i",
        "outputId": "46ac31da-07f9-4349-829a-40661a1ee940"
      },
      "execution_count": 260,
      "outputs": [
        {
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          "data": {
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              "   word  politics_cnt\n",
              "0   대통령           187\n",
              "1    종합           145\n",
              "2    회담            65\n",
              "3    정상            63\n",
              "4    국회            56\n",
              "..  ...           ...\n",
              "86   개헌            10\n",
              "87  김종인            10\n",
              "88   있다            10\n",
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              "90   오후            10\n",
              "\n",
              "[91 rows x 2 columns]"
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              "\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "\n",
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              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
              "    </div>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 260
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 데이터 프레임 merge"
      ],
      "metadata": {
        "id": "P2Dp1u_c_lHM"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from functools import reduce\n",
        "\n",
        "result = reduce(lambda x,y: pd.merge(x,y, on='word', how='outer'), [it_science_drop_df,\n",
        "                                                                   economy_drop_df,\n",
        "                                                                   society_drop_df,\n",
        "                                                                   culture_drop_df,\n",
        "                                                                   world_drop_df,\n",
        "                                                                   sport_drop_df,\n",
        "                                                                   politics_drop_df])\n",
        "result"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "Jq2kTEtiCwfN",
        "outputId": "0ba72c76-0b01-4ce6-e42d-597a6995df8e"
      },
      "execution_count": 263,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    word  it_science_cnt  economy_cnt  society_cnt  culture_cnt  world_cnt  \\\n",
              "0     출시           100.0         37.0          NaN          NaN        NaN   \n",
              "1     개발            80.0          NaN         11.0          NaN        NaN   \n",
              "2     기술            74.0          NaN          NaN          NaN        NaN   \n",
              "3     종합            69.0         92.0         77.0         21.0      121.0   \n",
              "4     삼성            47.0         23.0          NaN          NaN        NaN   \n",
              "..   ...             ...          ...          ...          ...        ...   \n",
              "489   결과             NaN          NaN          NaN          NaN        NaN   \n",
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              "492  김종인             NaN          NaN          NaN          NaN        NaN   \n",
              "493   채택             NaN          NaN          NaN          NaN        NaN   \n",
              "\n",
              "     sport_cnt  politics_cnt  \n",
              "0          NaN           NaN  \n",
              "1          NaN           NaN  \n",
              "2          NaN           NaN  \n",
              "3         54.0         145.0  \n",
              "4         14.0           NaN  \n",
              "..         ...           ...  \n",
              "489        NaN          10.0  \n",
              "490        NaN          10.0  \n",
              "491        NaN          10.0  \n",
              "492        NaN          10.0  \n",
              "493        NaN          10.0  \n",
              "\n",
              "[494 rows x 8 columns]"
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              "      <td>기술</td>\n",
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              "      <td>14.0</td>\n",
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              "<p>494 rows × 8 columns</p>\n",
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              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
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              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-5d39858b-a4b8-4767-81f4-516939fa0f1a button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-5d39858b-a4b8-4767-81f4-516939fa0f1a');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-522ead21-c60c-40e1-a954-1dfd9d466db3\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-522ead21-c60c-40e1-a954-1dfd9d466db3')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      border-left-color: var(--fill-color);\n",
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              "    30% {\n",
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              "      border-left-color: var(--fill-color);\n",
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              "    40% {\n",
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              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-522ead21-c60c-40e1-a954-1dfd9d466db3 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 263
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 열 합계"
      ],
      "metadata": {
        "id": "YJDn9KMnD2lz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "result['total_cnt']=result.sum(axis=1)\n",
        "result"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 479
        },
        "id": "NqOMNMXzDgd2",
        "outputId": "9c985a41-f0d0-4d10-9b1f-c7454f9b6e5e"
      },
      "execution_count": 266,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-266-3d5a7d881cd9>:1: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError.  Select only valid columns before calling the reduction.\n",
            "  result['total_cnt']=result.sum(axis=1)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    word  it_science_cnt  economy_cnt  society_cnt  culture_cnt  world_cnt  \\\n",
              "0     출시           100.0         37.0          NaN          NaN        NaN   \n",
              "1     개발            80.0          NaN         11.0          NaN        NaN   \n",
              "2     기술            74.0          NaN          NaN          NaN        NaN   \n",
              "3     종합            69.0         92.0         77.0         21.0      121.0   \n",
              "4     삼성            47.0         23.0          NaN          NaN        NaN   \n",
              "..   ...             ...          ...          ...          ...        ...   \n",
              "489   결과             NaN          NaN          NaN          NaN        NaN   \n",
              "490   입장             NaN          NaN          NaN          NaN        NaN   \n",
              "491   개헌             NaN          NaN          NaN          NaN        NaN   \n",
              "492  김종인             NaN          NaN          NaN          NaN        NaN   \n",
              "493   채택             NaN          NaN          NaN          NaN        NaN   \n",
              "\n",
              "     sport_cnt  politics_cnt  total_cnt  \n",
              "0          NaN           NaN      137.0  \n",
              "1          NaN           NaN       91.0  \n",
              "2          NaN           NaN       74.0  \n",
              "3         54.0         145.0      579.0  \n",
              "4         14.0           NaN       84.0  \n",
              "..         ...           ...        ...  \n",
              "489        NaN          10.0       10.0  \n",
              "490        NaN          10.0       10.0  \n",
              "491        NaN          10.0       10.0  \n",
              "492        NaN          10.0       10.0  \n",
              "493        NaN          10.0       10.0  \n",
              "\n",
              "[494 rows x 9 columns]"
            ],
            "text/html": [
              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>it_science_cnt</th>\n",
              "      <th>economy_cnt</th>\n",
              "      <th>society_cnt</th>\n",
              "      <th>culture_cnt</th>\n",
              "      <th>world_cnt</th>\n",
              "      <th>sport_cnt</th>\n",
              "      <th>politics_cnt</th>\n",
              "      <th>total_cnt</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>출시</td>\n",
              "      <td>100.0</td>\n",
              "      <td>37.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>137.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>개발</td>\n",
              "      <td>80.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>11.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>91.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>기술</td>\n",
              "      <td>74.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>74.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>종합</td>\n",
              "      <td>69.0</td>\n",
              "      <td>92.0</td>\n",
              "      <td>77.0</td>\n",
              "      <td>21.0</td>\n",
              "      <td>121.0</td>\n",
              "      <td>54.0</td>\n",
              "      <td>145.0</td>\n",
              "      <td>579.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>삼성</td>\n",
              "      <td>47.0</td>\n",
              "      <td>23.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>14.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>84.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>489</th>\n",
              "      <td>결과</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>10.0</td>\n",
              "      <td>10.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>490</th>\n",
              "      <td>입장</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>10.0</td>\n",
              "      <td>10.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>491</th>\n",
              "      <td>개헌</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>10.0</td>\n",
              "      <td>10.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>492</th>\n",
              "      <td>김종인</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>10.0</td>\n",
              "      <td>10.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>493</th>\n",
              "      <td>채택</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>10.0</td>\n",
              "      <td>10.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>494 rows × 9 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
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              "\n",
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              "      const buttonEl =\n",
              "        document.querySelector('#df-0ae56bcf-5820-4c11-b7e0-c80816f0bfe1 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-0ae56bcf-5820-4c11-b7e0-c80816f0bfe1');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "\n",
              "\n",
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              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-5ddadcf8-b4bc-4475-8dce-51a542bfe6c7 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 266
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 각 카테고리 별 단어 비율"
      ],
      "metadata": {
        "id": "rMPsVrNOD5oz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "result = result.fillna(0)\n",
        "result"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "A2TSGnEMDOo6",
        "outputId": "1c1a0273-2061-443d-8685-2bd0c68641a2"
      },
      "execution_count": 268,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    word  it_science_cnt  economy_cnt  society_cnt  culture_cnt  world_cnt  \\\n",
              "0     출시           100.0         37.0          0.0          0.0        0.0   \n",
              "1     개발            80.0          0.0         11.0          0.0        0.0   \n",
              "2     기술            74.0          0.0          0.0          0.0        0.0   \n",
              "3     종합            69.0         92.0         77.0         21.0      121.0   \n",
              "4     삼성            47.0         23.0          0.0          0.0        0.0   \n",
              "..   ...             ...          ...          ...          ...        ...   \n",
              "489   결과             0.0          0.0          0.0          0.0        0.0   \n",
              "490   입장             0.0          0.0          0.0          0.0        0.0   \n",
              "491   개헌             0.0          0.0          0.0          0.0        0.0   \n",
              "492  김종인             0.0          0.0          0.0          0.0        0.0   \n",
              "493   채택             0.0          0.0          0.0          0.0        0.0   \n",
              "\n",
              "     sport_cnt  politics_cnt  total_cnt  \n",
              "0          0.0           0.0      137.0  \n",
              "1          0.0           0.0       91.0  \n",
              "2          0.0           0.0       74.0  \n",
              "3         54.0         145.0      579.0  \n",
              "4         14.0           0.0       84.0  \n",
              "..         ...           ...        ...  \n",
              "489        0.0          10.0       10.0  \n",
              "490        0.0          10.0       10.0  \n",
              "491        0.0          10.0       10.0  \n",
              "492        0.0          10.0       10.0  \n",
              "493        0.0          10.0       10.0  \n",
              "\n",
              "[494 rows x 9 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-45c61739-e243-4e99-a817-c8b94730e3c9\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>it_science_cnt</th>\n",
              "      <th>economy_cnt</th>\n",
              "      <th>society_cnt</th>\n",
              "      <th>culture_cnt</th>\n",
              "      <th>world_cnt</th>\n",
              "      <th>sport_cnt</th>\n",
              "      <th>politics_cnt</th>\n",
              "      <th>total_cnt</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>출시</td>\n",
              "      <td>100.0</td>\n",
              "      <td>37.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>137.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>개발</td>\n",
              "      <td>80.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>91.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>기술</td>\n",
              "      <td>74.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>74.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>종합</td>\n",
              "      <td>69.0</td>\n",
              "      <td>92.0</td>\n",
              "      <td>77.0</td>\n",
              "      <td>21.0</td>\n",
              "      <td>121.0</td>\n",
              "      <td>54.0</td>\n",
              "      <td>145.0</td>\n",
              "      <td>579.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>삼성</td>\n",
              "      <td>47.0</td>\n",
              "      <td>23.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>84.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>489</th>\n",
              "      <td>결과</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>10.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>490</th>\n",
              "      <td>입장</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>10.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>491</th>\n",
              "      <td>개헌</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>10.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>492</th>\n",
              "      <td>김종인</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>10.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>493</th>\n",
              "      <td>채택</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>10.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>494 rows × 9 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-45c61739-e243-4e99-a817-c8b94730e3c9')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-45c61739-e243-4e99-a817-c8b94730e3c9 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-45c61739-e243-4e99-a817-c8b94730e3c9');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-a7ba2d74-9394-4afd-95e8-6d7daa498340\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a7ba2d74-9394-4afd-95e8-6d7daa498340')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "  }\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-a7ba2d74-9394-4afd-95e8-6d7daa498340 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 268
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def per_percent(df,col1):\n",
        "  result = []\n",
        "  for index, row in tqdm(df.iterrows()):\n",
        "    if row[col1]!=0:\n",
        "      result.append(round(row[col1]/row['total_cnt'],3)*100)\n",
        "    else:\n",
        "      result.append(0)\n",
        "  return result"
      ],
      "metadata": {
        "id": "0Ro6FcLJEEQz"
      },
      "execution_count": 289,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "result['it_science_percent'] = per_percent(result,'it_science_cnt')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IDsywpfCEul1",
        "outputId": "19ede38f-453b-4f23-fad8-b622c728ab02"
      },
      "execution_count": 290,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "494it [00:00, 17972.57it/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "result['economy_percent'] = per_percent(result,'economy_cnt')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SL1qqULxGpu9",
        "outputId": "d1a1fc62-cbd6-42ad-d4f7-2b3a6444d657"
      },
      "execution_count": 292,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "494it [00:00, 5750.72it/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "result['society_percent'] = per_percent(result,'society_cnt')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YgUzEBhRHWxs",
        "outputId": "632b269f-f98a-4045-9114-35ad55c62a3a"
      },
      "execution_count": 293,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "494it [00:00, 15496.00it/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "result['culture_percent'] = per_percent(result,'culture_cnt')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "07xEdnELHaXn",
        "outputId": "d2edb726-15cb-4c9f-9c82-1d639b5d5fc1"
      },
      "execution_count": 294,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "494it [00:00, 16161.89it/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "result['world_percent'] = per_percent(result,'world_cnt')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "seMA5mMcHenf",
        "outputId": "a1172679-3154-4b58-8687-adc85f0a83aa"
      },
      "execution_count": 295,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "494it [00:00, 3403.95it/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "result['sport_percent'] = per_percent(result,'sport_cnt')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TbgzyKIIHjab",
        "outputId": "a27adfb5-ab87-40b9-d9ca-68f0a11f88e5"
      },
      "execution_count": 296,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "494it [00:00, 13002.82it/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "result['politics_percent'] = per_percent(result,'politics_cnt')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HH9PfYXAHmXz",
        "outputId": "2026723c-d2db-4027-a3de-258191d9bae0"
      },
      "execution_count": 297,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "494it [00:00, 8951.11it/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "result"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 461
        },
        "id": "BKkQtzk5HpsX",
        "outputId": "40e524bf-719b-40d4-b22c-60627015bbba"
      },
      "execution_count": 298,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    word  it_science_cnt  economy_cnt  society_cnt  culture_cnt  world_cnt  \\\n",
              "0     출시           100.0         37.0          0.0          0.0        0.0   \n",
              "1     개발            80.0          0.0         11.0          0.0        0.0   \n",
              "2     기술            74.0          0.0          0.0          0.0        0.0   \n",
              "3     종합            69.0         92.0         77.0         21.0      121.0   \n",
              "4     삼성            47.0         23.0          0.0          0.0        0.0   \n",
              "..   ...             ...          ...          ...          ...        ...   \n",
              "489   결과             0.0          0.0          0.0          0.0        0.0   \n",
              "490   입장             0.0          0.0          0.0          0.0        0.0   \n",
              "491   개헌             0.0          0.0          0.0          0.0        0.0   \n",
              "492  김종인             0.0          0.0          0.0          0.0        0.0   \n",
              "493   채택             0.0          0.0          0.0          0.0        0.0   \n",
              "\n",
              "     sport_cnt  politics_cnt  total_cnt  it_science_percent  economy_percent  \\\n",
              "0          0.0           0.0      137.0                73.0             27.0   \n",
              "1          0.0           0.0       91.0                87.9              0.0   \n",
              "2          0.0           0.0       74.0               100.0              0.0   \n",
              "3         54.0         145.0      579.0                11.9             15.9   \n",
              "4         14.0           0.0       84.0                56.0             27.4   \n",
              "..         ...           ...        ...                 ...              ...   \n",
              "489        0.0          10.0       10.0                 0.0              0.0   \n",
              "490        0.0          10.0       10.0                 0.0              0.0   \n",
              "491        0.0          10.0       10.0                 0.0              0.0   \n",
              "492        0.0          10.0       10.0                 0.0              0.0   \n",
              "493        0.0          10.0       10.0                 0.0              0.0   \n",
              "\n",
              "     society_percent  culture_percent  world_percent  sport_percent  \\\n",
              "0                0.0              0.0            0.0            0.0   \n",
              "1               12.1              0.0            0.0            0.0   \n",
              "2                0.0              0.0            0.0            0.0   \n",
              "3               13.3              3.6           20.9            9.3   \n",
              "4                0.0              0.0            0.0           16.7   \n",
              "..               ...              ...            ...            ...   \n",
              "489              0.0              0.0            0.0            0.0   \n",
              "490              0.0              0.0            0.0            0.0   \n",
              "491              0.0              0.0            0.0            0.0   \n",
              "492              0.0              0.0            0.0            0.0   \n",
              "493              0.0              0.0            0.0            0.0   \n",
              "\n",
              "     politics_percent  \n",
              "0                 0.0  \n",
              "1                 0.0  \n",
              "2                 0.0  \n",
              "3                25.0  \n",
              "4                 0.0  \n",
              "..                ...  \n",
              "489             100.0  \n",
              "490             100.0  \n",
              "491             100.0  \n",
              "492             100.0  \n",
              "493             100.0  \n",
              "\n",
              "[494 rows x 16 columns]"
            ],
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>it_science_cnt</th>\n",
              "      <th>economy_cnt</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>출시</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
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              "      <td>0.0</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>기술</td>\n",
              "      <td>74.0</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>종합</td>\n",
              "      <td>69.0</td>\n",
              "      <td>92.0</td>\n",
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              "      <td>21.0</td>\n",
              "      <td>121.0</td>\n",
              "      <td>54.0</td>\n",
              "      <td>145.0</td>\n",
              "      <td>579.0</td>\n",
              "      <td>11.9</td>\n",
              "      <td>15.9</td>\n",
              "      <td>13.3</td>\n",
              "      <td>3.6</td>\n",
              "      <td>20.9</td>\n",
              "      <td>9.3</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>삼성</td>\n",
              "      <td>47.0</td>\n",
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              "      <td>14.0</td>\n",
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              "      <td>84.0</td>\n",
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              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-f4a81cf4-6742-47b2-aaf8-4a8281c740e5 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-f4a81cf4-6742-47b2-aaf8-4a8281c740e5');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-ca7ba359-a59b-4666-ad0e-c529b4b6cb43\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ca7ba359-a59b-4666-ad0e-c529b4b6cb43')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ca7ba359-a59b-4666-ad0e-c529b4b6cb43 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 298
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "result.to_csv('category_per_result.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "pOoiJieKHqe-"
      },
      "execution_count": 330,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 데이터 프레임 분리 후 저장"
      ],
      "metadata": {
        "id": "D5G8BwgeI7WS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "it_science_result = result[['word','it_science_cnt','it_science_percent']]"
      ],
      "metadata": {
        "id": "ynSBh01OH1Uo"
      },
      "execution_count": 303,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "it_science_result"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "Jbvh2f6GJQfI",
        "outputId": "07d9fba9-67a4-4b4e-fa5c-2bf48aed39ef"
      },
      "execution_count": 308,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    word  it_science_cnt  it_science_percent\n",
              "0     출시           100.0                73.0\n",
              "1     개발            80.0                87.9\n",
              "2     기술            74.0               100.0\n",
              "3     종합            69.0                11.9\n",
              "4     삼성            47.0                56.0\n",
              "..   ...             ...                 ...\n",
              "489   결과             0.0                 0.0\n",
              "490   입장             0.0                 0.0\n",
              "491   개헌             0.0                 0.0\n",
              "492  김종인             0.0                 0.0\n",
              "493   채택             0.0                 0.0\n",
              "\n",
              "[494 rows x 3 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-637c0241-0320-46b1-99e3-209ee37a8bdd\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>it_science_cnt</th>\n",
              "      <th>it_science_percent</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>출시</td>\n",
              "      <td>100.0</td>\n",
              "      <td>73.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>개발</td>\n",
              "      <td>80.0</td>\n",
              "      <td>87.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>기술</td>\n",
              "      <td>74.0</td>\n",
              "      <td>100.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>종합</td>\n",
              "      <td>69.0</td>\n",
              "      <td>11.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>삼성</td>\n",
              "      <td>47.0</td>\n",
              "      <td>56.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>489</th>\n",
              "      <td>결과</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>490</th>\n",
              "      <td>입장</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>491</th>\n",
              "      <td>개헌</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>492</th>\n",
              "      <td>김종인</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>493</th>\n",
              "      <td>채택</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>494 rows × 3 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-637c0241-0320-46b1-99e3-209ee37a8bdd')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-637c0241-0320-46b1-99e3-209ee37a8bdd button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-637c0241-0320-46b1-99e3-209ee37a8bdd');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-c1e0192e-1454-411b-b4da-6b90a58d29e5\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c1e0192e-1454-411b-b4da-6b90a58d29e5')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-c1e0192e-1454-411b-b4da-6b90a58d29e5 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 308
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "it_science_result.to_csv('it_science_result.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "SBa8audUIE-P"
      },
      "execution_count": 309,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "economy_result = result[['word','economy_cnt','economy_percent']]"
      ],
      "metadata": {
        "id": "08-_XjVeI37B"
      },
      "execution_count": 310,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "economy_result"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
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        "id": "ahOCtR5JJUyY",
        "outputId": "610a0753-912c-4167-d13a-056e789814d1"
      },
      "execution_count": 311,
      "outputs": [
        {
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              "    word  economy_cnt  economy_percent\n",
              "0     출시         37.0             27.0\n",
              "1     개발          0.0              0.0\n",
              "2     기술          0.0              0.0\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "      try {\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-bbe7d68c-e77a-424c-a72a-d99e1f401aab button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 311
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "economy_result.to_csv('economy_result.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "m-849OKYJFfN"
      },
      "execution_count": 312,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "society_result = result[['word','society_cnt','society_percent']]"
      ],
      "metadata": {
        "id": "8Ls8mV74JWm0"
      },
      "execution_count": 313,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "society_result"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "lwQiwYPrJifO",
        "outputId": "9e4ea308-0cc2-4f60-aae3-0257ae726ada"
      },
      "execution_count": 315,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    word  society_cnt  society_percent\n",
              "0     출시          0.0              0.0\n",
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              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-b80b48a9-181e-4adb-9803-6717bfa91208 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-b80b48a9-181e-4adb-9803-6717bfa91208');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-2aed1baa-6710-44b1-9bab-69f50a332c35\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2aed1baa-6710-44b1-9bab-69f50a332c35')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-2aed1baa-6710-44b1-9bab-69f50a332c35 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 315
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "society_result.to_csv('society_result.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "J8hRoq2TJjCG"
      },
      "execution_count": 316,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "culture_result = result[['word','culture_cnt','culture_percent']]"
      ],
      "metadata": {
        "id": "erOx8SaYJotS"
      },
      "execution_count": 317,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "culture_result"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "-VPhHkGOJuFe",
        "outputId": "cd1c13ac-f5d1-45d0-bb7a-b1d5e93e29df"
      },
      "execution_count": 319,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    word  culture_cnt  culture_percent\n",
              "0     출시          0.0              0.0\n",
              "1     개발          0.0              0.0\n",
              "2     기술          0.0              0.0\n",
              "3     종합         21.0              3.6\n",
              "4     삼성          0.0              0.0\n",
              "..   ...          ...              ...\n",
              "489   결과          0.0              0.0\n",
              "490   입장          0.0              0.0\n",
              "491   개헌          0.0              0.0\n",
              "492  김종인          0.0              0.0\n",
              "493   채택          0.0              0.0\n",
              "\n",
              "[494 rows x 3 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-450c3d91-3d0e-4a29-b493-95f3dc66d03b\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>word</th>\n",
              "      <th>culture_cnt</th>\n",
              "      <th>culture_percent</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>출시</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>개발</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>기술</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>종합</td>\n",
              "      <td>21.0</td>\n",
              "      <td>3.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>삼성</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>489</th>\n",
              "      <td>결과</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>490</th>\n",
              "      <td>입장</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>491</th>\n",
              "      <td>개헌</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>492</th>\n",
              "      <td>김종인</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>493</th>\n",
              "      <td>채택</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>494 rows × 3 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-450c3d91-3d0e-4a29-b493-95f3dc66d03b')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-450c3d91-3d0e-4a29-b493-95f3dc66d03b button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-450c3d91-3d0e-4a29-b493-95f3dc66d03b');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-5cf18cb7-fae9-40af-a4de-1aa6c2689731\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-5cf18cb7-fae9-40af-a4de-1aa6c2689731')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-5cf18cb7-fae9-40af-a4de-1aa6c2689731 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 319
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "culture_result.to_csv('culture_result.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "limEkWoKJuha"
      },
      "execution_count": 321,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "world_result = result[['word','world_cnt','world_percent']]"
      ],
      "metadata": {
        "id": "rKUZOlUGJ2NF"
      },
      "execution_count": 322,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "world_result"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "ODDkZl31J9Dq",
        "outputId": "35463650-d3e8-4869-f4b8-0cbe0e36a727"
      },
      "execution_count": 323,
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "    word  world_cnt  world_percent\n",
              "0     출시        0.0            0.0\n",
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              "4     삼성        0.0            0.0\n",
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              "        document.querySelector('#df-5cd25fb4-4713-4eb5-b454-679d63dee0fe button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-5cd25fb4-4713-4eb5-b454-679d63dee0fe');\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "        element.innerHTML = '';\n",
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              "\n",
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              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
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              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
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              "      --disabled-fill-color: #666;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
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              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
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              "    padding: 0;\n",
              "    width: 32px;\n",
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              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
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              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-884414a4-7df1-4067-b2b1-ae1e4919ec26 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 323
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "world_result.to_csv('world_result.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "AQc91o_CJ-ey"
      },
      "execution_count": 324,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sport_result = result[['word','sport_cnt','sport_percent']]"
      ],
      "metadata": {
        "id": "l6Vkqr0VKDwZ"
      },
      "execution_count": 325,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sport_result"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "FUq58kbmKC_o",
        "outputId": "662eb4a4-a4f8-4d14-9f07-710ed897fb1f"
      },
      "execution_count": 326,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    word  sport_cnt  sport_percent\n",
              "0     출시        0.0            0.0\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-c819b3a6-85c1-481c-91b2-33214dda61a9 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-c819b3a6-85c1-481c-91b2-33214dda61a9');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-ccccba9d-bdd0-4e1b-9040-614e2ea19a6a\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ccccba9d-bdd0-4e1b-9040-614e2ea19a6a')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ccccba9d-bdd0-4e1b-9040-614e2ea19a6a button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 326
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sport_result.to_csv('sport_result.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "qAHcpZ4KKLqs"
      },
      "execution_count": 327,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "politics_result = result[['word','politics_cnt','politics_percent']]"
      ],
      "metadata": {
        "id": "9L3TNUJXKPPg"
      },
      "execution_count": 328,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "politics_result.to_csv('politics_result.csv',encoding='utf-8-sig')"
      ],
      "metadata": {
        "id": "odBjHEEYKTsK"
      },
      "execution_count": 329,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "pUlozv16KWgU"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}