From f26b49718c0ae57496ca7e300d5a31221590be7b Mon Sep 17 00:00:00 2001 From: Daisy Lal <116365685+dml2611@users.noreply.github.com> Date: Sat, 9 Mar 2024 21:06:13 +0000 Subject: [PATCH] Created using Colaboratory --- usas_emotion_analysis.ipynb | 29264 ++++++++++++++++++++++++++++++++++ 1 file changed, 29264 insertions(+) create mode 100644 usas_emotion_analysis.ipynb diff --git a/usas_emotion_analysis.ipynb b/usas_emotion_analysis.ipynb new file mode 100644 index 0000000..ad292ec --- /dev/null +++ b/usas_emotion_analysis.ipynb @@ -0,0 +1,29264 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "collapsed_sections": [ + "vgeKJ6XgHbu2", + "Q-bNWeIQFZll", + "mdQnqOg0F7tP", + "8B5v7DBCIfgX", + "oCB0KyTVJK3a", + "n-wfc4UMMqvE", + "w129H5WCNbGd", + "-IJhc5ZsRAYC", + "dEG_2aoPRSrB" + ], + "authorship_tag": "ABX9TyOG0hh+0QwyVtZsv8QqvOLr", + "include_colab_link": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "markdown", + "source": [ + "---\n", + "---\n", + "# ⚛ **SENTIMENT CLASSIFICATION USING USAS SEMATIC TAGGER** ⚛\n", + "---\n", + "---\n", + "\n" + ], + "metadata": { + "id": "LDoHscO2_nUC" + } + }, + { + "cell_type": "markdown", + "source": [ + "### **STEP 1: Mounting the drive and initialising the data paths**\n", + "\n", + "---" + ], + "metadata": { + "id": "vgeKJ6XgHbu2" + } + }, + { + "cell_type": "code", + "source": [ + "from google.colab import drive\n", + "drive.mount('/content/gdrive/')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "XeeBUlnHc15M", + "outputId": "bab13cae-bdcd-41ad-da88-de51ada7c002" + }, + "execution_count": 1, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Mounted at /content/gdrive/\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "data_path = \"/content/gdrive/MyDrive/Colab Notebooks/Lancaster University/Treatment/Data/\"\n", + "usas_path = \"/content/gdrive/MyDrive/Colab Notebooks/Lancaster University/USAS - SA/\"\n", + "data_path_op = \"/content/gdrive/MyDrive/Colab Notebooks/Lancaster University/USAS - SA/Output/\"" + ], + "metadata": { + "id": "GdBpmPcqdCFh" + }, + "execution_count": 2, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "---\n", + "### **STEP 2: Downloading and installing the dependencies:**\n", + ">>**English PyMUSAS RuleBasedTagger**\n", + "\n", + ">>**English spaCy pipeline**\n", + "\n", + ">>**colorama:** *Colorama is a Python module that displays colored output in consoles.*\n", + "---\n", + "\n" + ], + "metadata": { + "id": "Q-bNWeIQFZll" + } + }, + { + "cell_type": "code", + "source": [ + "!pip install https://github.com/UCREL/pymusas-models/releases/download/en_dual_none_contextual-0.3.3/en_dual_none_contextual-0.3.3-py3-none-any.whl\n", + "!python -m spacy download en_core_web_sm" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "bIWd5XZu_qHe", + "outputId": "e9515809-c1c9-4c55-d438-154b127af4d5" + }, + "execution_count": 3, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting en-dual-none-contextual==0.3.3\n", + " Downloading https://github.com/UCREL/pymusas-models/releases/download/en_dual_none_contextual-0.3.3/en_dual_none_contextual-0.3.3-py3-none-any.whl (902 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m902.0/902.0 kB\u001b[0m \u001b[31m7.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: spacy<4.0,>=3.0 in /usr/local/lib/python3.10/dist-packages (from en-dual-none-contextual==0.3.3) (3.7.4)\n", + "Collecting 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You can do this by selecting the\n", + "'Restart kernel' or 'Restart runtime' option.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!pip install colorama" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ZzaFP-_WirOX", + "outputId": "d7fc2b43-a394-4875-a999-ee6816a16d20" + }, + "execution_count": 4, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting colorama\n", + " Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\n", + "Installing collected packages: colorama\n", + "Successfully installed colorama-0.4.6\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "---\n", + "### **STEP 3: Creating the tagger**\n", + "\n", + "---\n", + "\n" + ], + "metadata": { + "id": "mdQnqOg0F7tP" + } + }, + { + "cell_type": "code", + "source": [ + "import spacy\n", + "\n", + "# We exclude the following components as we do not need them.\n", + "nlp = spacy.load('en_core_web_sm', exclude=['parser', 'ner'])\n", + "# Load the English PyMUSAS rule-based tagger in a separate spaCy pipeline\n", + "english_tagger_pipeline = spacy.load('en_dual_none_contextual')\n", + "# Adds the English PyMUSAS rule-based tagger to the main spaCy pipeline\n", + "nlp.add_pipe('pymusas_rule_based_tagger', source=english_tagger_pipeline)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "rC1ZWicK_vb9", + "outputId": "2416d089-1631-4e90-ba01-8df7de96bf8d" + }, + "execution_count": 5, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 5 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "---\n", + "\n", + "### **STEP 4: Importing the libraries**\n", + "\n", + "---\n", + "\n" + ], + "metadata": { + "id": "8B5v7DBCIfgX" + } + }, + { + "cell_type": "code", + "source": [ + "import re\n", + "import pandas as pd\n", + "import numpy as np\n", + "from colorama import Fore, Back, Style\n", + "\n", + "import nltk\n", + "nltk.download('punkt')\n", + "from nltk.tokenize import sent_tokenize" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "AM_5kgpNdIb0", + "outputId": "77891dc2-adfa-4c2a-accd-88390fd5f80e" + }, + "execution_count": 6, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "[nltk_data] Downloading package punkt to /root/nltk_data...\n", + "[nltk_data] Unzipping tokenizers/punkt.zip.\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "---\n", + "\n", + "# **[USAS TAGS](https://ucrel.lancs.ac.uk/usas/Lancaster_visual/Frames_Lancaster.htm)**\n", + "\n", + "---" + ], + "metadata": { + "id": "pzCIRrUgvpBQ" + } + }, + { + "cell_type": "markdown", + "source": [ + "### **STEP 5: Tagging text:** *tag_text function*\n", + "\n", + ">>**input:** piece of text\n", + "\n", + ">>**output:** python dictionary where *keys* represent the index of a sentence in the input text and *values* represent the usas semantic tags for that sentence\n", + "\n", + "---\n", + "\n" + ], + "metadata": { + "id": "oCB0KyTVJK3a" + } + }, + { + "cell_type": "code", + "source": [ + "# Defining the tagging function\n", + "def tag_text(text):\n", + " usas_eval_tags = {}\n", + " usas_list = {}\n", + " sentences = nltk.sent_tokenize(text)\n", + " for i in range(len(sentences)):\n", + " if(sentences[i]):\n", + " print(Fore.GREEN + Style.BRIGHT + \"------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\")\n", + " print(Fore.CYAN + Style.BRIGHT + f\"Sentence {i}:\", sentences[i])\n", + " print(Fore.CYAN + Style.BRIGHT + \"------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\")\n", + " sent = nlp(sentences[i])\n", + " for token in sent:\n", + " tags = token._.pymusas_tags\n", + " print(Fore.CYAN + f'{token.text}:' + Fore.GREEN, tags)\n", + " for tag in tags:\n", + " usas_list[token.text] = token._.pymusas_tags\n", + " usas_eval_tags[i] = usas_list\n", + " return usas_eval_tags" + ], + "metadata": { + "id": "jJr_0dMjj4Br" + }, + "execution_count": 7, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Input text 1\n", + "text_1 = \"\"\"Hello comrades, just wanted to share my story after a surgery where i scored another goal against cancer and made it 3-0. Hope it will be inspiring to somebody out there.\n", + "\n", + "I was diagnosed colon cancer in May 2020 when i had a major bleeding from you know where. Before i know, 30 cm. of my colon was resected by the surgeons. The recovery was tough but manageable. The good part was that even though my tumor was large, the lymph nodes were clear, making me a stage 2. According to the doctors, i was clear and was one of the lucky ones that has cancer behind now with a new good bar story to tell. The score was 1-0 for me.\n", + "\n", + "Yet, later i learned the hard way that this shit can travel via bloodstream too. In January 2021, my routine scanning came back with rather unpleasant news. I had several lesions on my liver and my world collapsed when the surgeon told me it was inoperable. I was now a stage 4 colon cancer with an inoperable liver metastasis and two little boys aged 3 and 5 that i can't leave fatherless.\n", + "\n", + "This was all during Corona lockdown days and my family and kids could not be with me all the time due to restrictions at the hospitals.\n", + "\n", + "Nevertheless, i am not a quitter and i saw this as a new challenge that i need to beat. With low odds to start, i was free of any sign of cancer after 1,5 years long chemotherapy and radiotherapy that kicked my balls. I did not even need a liver surgery. The score was 2-0 now and we were crossing our fingers that it will never return.\n", + "\n", + "It didn't, but a completely seperate cancer was going to be my new challenge now. Doctors were suspicious about my thyroid during another routine scanning. After additional screenings and needle biopsies, it turns out i have thyroid cancer now. I was like \"meh, this one is easy\".\n", + "\n", + "Yesterday, i have all my thyroids removed in a surgery. The tumor was already 2 cm.\n", + "\n", + "It is now 3-0.\n", + "\n", + "I don't know what is expecting me now but surely whatever comes next, i will fight the damn thing. Meanwhile i will have preventive chemotherapy every 6 months and will keep enjoying raising my kids.\n", + "\n", + "So comrade, consider yours a challenge as well. You have the strength and optimism in you too no matter how hard life is. Keep your head up and score.\"\"\"" + ], + "metadata": { + "id": "CNLmW3K3NWxW" + }, + "execution_count": 8, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Tagging input text 1\n", + "text1_tags = tag_text(text_1)" + ], + "metadata": { + "id": "4uidN3Uy56DR", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "12e34139-a203-4e16-8ad7-b6365e1fc8d0" + }, + "execution_count": 9, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 0: Hello comrades, just wanted to share my story after a surgery where i scored another goal against cancer and made it 3-0.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mHello:\u001b[32m ['Z4']\n", + "\u001b[36mcomrades:\u001b[32m ['S3.1/S2mf']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mjust:\u001b[32m ['A14', 'T3---', 'T1.3-', 'N3.3---']\n", + "\u001b[36mwanted:\u001b[32m ['X7+', 'S6+', 'A7+', 'G2.1-', 'S3.2', 'A9-']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mshare:\u001b[32m ['A5.4+']\n", + "\u001b[36mmy:\u001b[32m ['A5.4+']\n", + "\u001b[36mstory:\u001b[32m ['Q2.1', 'X4.1', 'Q4']\n", + "\u001b[36mafter:\u001b[32m ['Z5']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36msurgery:\u001b[32m ['B3', 'B3/H1', 'B3/H2', 'S8+/T1.3']\n", + "\u001b[36mwhere:\u001b[32m ['M6']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36mscored:\u001b[32m ['K5', 'A5.1', 'N3.1', 'X9.2+', 'A1.1.1']\n", + "\u001b[36manother:\u001b[32m ['A6.1-', 'N5++']\n", + "\u001b[36mgoal:\u001b[32m ['K5.1', 'X7+']\n", + "\u001b[36magainst:\u001b[32m ['Z5']\n", + "\u001b[36mcancer:\u001b[32m ['B2-']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mmade:\u001b[32m ['A5.4+']\n", + "\u001b[36mit:\u001b[32m ['A5.4+']\n", + "\u001b[36m3:\u001b[32m ['N1']\n", + "\u001b[36m-:\u001b[32m ['Z99']\n", + "\u001b[36m0:\u001b[32m ['N1']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 1: Hope it will be inspiring to somebody out there.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mHope:\u001b[32m ['A5.4+']\n", + "\u001b[36mit:\u001b[32m ['A5.4+']\n", + "\u001b[36mwill:\u001b[32m ['T1.1.3']\n", + "\u001b[36mbe:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36minspiring:\u001b[32m ['S8+']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36msomebody:\u001b[32m ['Z8mfc']\n", + "\u001b[36mout:\u001b[32m ['M6']\n", + "\u001b[36mthere:\u001b[32m ['M6']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 2: I was diagnosed colon cancer in May 2020 when i had a major bleeding from you know where.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mdiagnosed:\u001b[32m ['B3', 'X2.4']\n", + "\u001b[36mcolon:\u001b[32m ['Q3', 'B1']\n", + "\u001b[36mcancer:\u001b[32m ['B2-']\n", + "\u001b[36min:\u001b[32m ['Z5']\n", + "\u001b[36mMay:\u001b[32m ['Z2', 'Z1mf', 'T1.3']\n", + "\u001b[36m2020:\u001b[32m ['Z2', 'Z1mf', 'T1.3']\n", + "\u001b[36mwhen:\u001b[32m ['Z5']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36mhad:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mmajor:\u001b[32m ['A11.1+', 'N3.2+']\n", + "\u001b[36mbleeding:\u001b[32m ['B1']\n", + "\u001b[36mfrom:\u001b[32m ['Z5']\n", + "\u001b[36myou:\u001b[32m ['Z4']\n", + "\u001b[36mknow:\u001b[32m ['Z4']\n", + "\u001b[36mwhere:\u001b[32m ['M6']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 3: Before i know, 30 cm.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mBefore:\u001b[32m ['Z5']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36mknow:\u001b[32m ['X2.2+', 'S3.2/B1%']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36m30:\u001b[32m ['N1']\n", + "\u001b[36mcm:\u001b[32m ['Z99']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 4: of my colon was resected by the surgeons.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mof:\u001b[32m ['Z5']\n", + "\u001b[36mmy:\u001b[32m ['Z8']\n", + "\u001b[36mcolon:\u001b[32m ['Q3', 'B1']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mresected:\u001b[32m ['Z99']\n", + "\u001b[36mby:\u001b[32m ['Z5']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36msurgeons:\u001b[32m ['B3/S2mf']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 5: The recovery was tough but manageable.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mThe:\u001b[32m ['Z5']\n", + "\u001b[36mrecovery:\u001b[32m ['B2+', 'A5.1+/A2.1', 'A9+']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mtough:\u001b[32m ['S1.2.5+', 'E3-', 'O4.5', 'A12-', 'Z4']\n", + "\u001b[36mbut:\u001b[32m ['Z5']\n", + "\u001b[36mmanageable:\u001b[32m ['A12+']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 6: The good part was that even though my tumor was large, the lymph nodes were clear, making me a stage 2.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mThe:\u001b[32m ['Z5']\n", + "\u001b[36mgood:\u001b[32m ['A5.1+', 'G2.2+', 'O4.2+', 'A1.5.2+', 'N3.2+']\n", + "\u001b[36mpart:\u001b[32m ['N5.1-', 'O2', 'M7', 'I3.1', 'S1.1.3+', 'K4']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mthat:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36meven:\u001b[32m ['A13.1']\n", + "\u001b[36mthough:\u001b[32m ['Z5']\n", + "\u001b[36mmy:\u001b[32m ['Z8']\n", + "\u001b[36mtumor:\u001b[32m ['Z99']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mlarge:\u001b[32m ['N3.2+', 'N5+', 'A11.1+']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mlymph:\u001b[32m ['B1']\n", + "\u001b[36mnodes:\u001b[32m ['B1']\n", + "\u001b[36mwere:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mclear:\u001b[32m ['A7+', 'A10+', 'O4.3', 'O4.1', 'N5.1+', 'W4']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mmaking:\u001b[32m ['A5.4+']\n", + "\u001b[36mme:\u001b[32m ['A5.4+']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mstage:\u001b[32m ['T1.2', 'N5.1-', 'H2/K4', 'K4', 'A4.1']\n", + "\u001b[36m2:\u001b[32m ['N1']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 7: According to the doctors, i was clear and was one of the lucky ones that has cancer behind now with a new good bar story to tell.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mAccording:\u001b[32m ['A9-', 'A6.1+']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mdoctors:\u001b[32m ['B3/I3.2/S2mf', 'P1/S2mf']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mclear:\u001b[32m ['A7+', 'A10+', 'O4.3', 'O4.1', 'N5.1+', 'W4']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mone:\u001b[32m ['N1', 'T3', 'T1.2']\n", + "\u001b[36mof:\u001b[32m ['Z5']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mlucky:\u001b[32m ['A1.4+']\n", + "\u001b[36mones:\u001b[32m ['Z8']\n", + "\u001b[36mthat:\u001b[32m ['A13.3', 'A6.1+']\n", + "\u001b[36mhas:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mcancer:\u001b[32m ['B2-']\n", + "\u001b[36mbehind:\u001b[32m ['Z5']\n", + "\u001b[36mnow:\u001b[32m ['T1.1.2', 'Z4']\n", + "\u001b[36mwith:\u001b[32m ['Z5']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mnew:\u001b[32m ['T3-']\n", + "\u001b[36mgood:\u001b[32m ['A5.1+', 'G2.2+', 'O4.2+', 'A1.5.2+', 'N3.2+']\n", + "\u001b[36mbar:\u001b[32m ['F2/H1c', 'F2/H2', 'F2/H5', 'O2', 'O4.4', 'S8-', 'G2.1c', 'K2']\n", + "\u001b[36mstory:\u001b[32m ['Q2.1', 'X4.1', 'Q4']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mtell:\u001b[32m ['Q2.2', 'Q2.1', 'X3', 'A10+']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 8: The score was 1-0 for me.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mThe:\u001b[32m ['Z5']\n", + "\u001b[36mscore:\u001b[32m ['K5', 'A5.1', 'N3.1', 'O2', 'K2', 'X4.1', 'N5%']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36m1:\u001b[32m ['N1']\n", + "\u001b[36m-:\u001b[32m ['Z99']\n", + "\u001b[36m0:\u001b[32m ['N1']\n", + "\u001b[36mfor:\u001b[32m ['Z5']\n", + "\u001b[36mme:\u001b[32m ['Z8mf']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 9: Yet, later i learned the hard way that this shit can travel via bloodstream too.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mYet:\u001b[32m ['T1.1.2']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mlater:\u001b[32m ['T4--', 'T1.1.3', 'N4']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36mlearned:\u001b[32m ['A12-']\n", + "\u001b[36mthe:\u001b[32m ['A12-']\n", + "\u001b[36mhard:\u001b[32m ['A12-']\n", + "\u001b[36mway:\u001b[32m ['A12-']\n", + "\u001b[36mthat:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36mthis:\u001b[32m ['M6', 'Z5', 'Z8']\n", + "\u001b[36mshit:\u001b[32m ['B1', 'O4.2-', 'O4.2-/S2mf']\n", + "\u001b[36mcan:\u001b[32m ['A7+']\n", + "\u001b[36mtravel:\u001b[32m ['M1']\n", + "\u001b[36mvia:\u001b[32m ['Z5']\n", + "\u001b[36mbloodstream:\u001b[32m ['B1']\n", + "\u001b[36mtoo:\u001b[32m ['N5++', 'N5.2+', 'A13.3']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 10: In January 2021, my routine scanning came back with rather unpleasant news.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mIn:\u001b[32m ['Z5']\n", + "\u001b[36mJanuary:\u001b[32m ['Z2', 'Z1mf', 'T1.3']\n", + "\u001b[36m2021:\u001b[32m ['Z2', 'Z1mf', 'T1.3']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mmy:\u001b[32m ['Z8']\n", + "\u001b[36mroutine:\u001b[32m ['A6.2+']\n", + "\u001b[36mscanning:\u001b[32m ['X3.4/N3.8+', 'X2.4/N3.8+', 'Y1/B3', 'Y2', 'Q3%']\n", + "\u001b[36mcame:\u001b[32m ['M6']\n", + "\u001b[36mback:\u001b[32m ['M6']\n", + "\u001b[36mwith:\u001b[32m ['Z5']\n", + "\u001b[36mrather:\u001b[32m ['Z4', 'E2++', 'A13.5']\n", + "\u001b[36munpleasant:\u001b[32m ['O4.2-']\n", + "\u001b[36mnews:\u001b[32m ['X2.2+/T3-', 'X2.2+/Q4.2', 'X2.2+/Q4.3']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 11: I had several lesions on my liver and my world collapsed when the surgeon told me it was inoperable.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mhad:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mseveral:\u001b[32m ['N5']\n", + "\u001b[36mlesions:\u001b[32m ['Z99']\n", + "\u001b[36mon:\u001b[32m ['Z5']\n", + "\u001b[36mmy:\u001b[32m ['Z8']\n", + "\u001b[36mliver:\u001b[32m ['B1', 'F1', 'S2mf']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mmy:\u001b[32m ['Z8']\n", + "\u001b[36mworld:\u001b[32m ['W1', 'S5+c', 'A4.1', 'N5+']\n", + "\u001b[36mcollapsed:\u001b[32m ['A1.1.2', 'B2-', 'N3.2-/A2.1']\n", + "\u001b[36mwhen:\u001b[32m ['Z5']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36msurgeon:\u001b[32m ['B3/S2mf']\n", + "\u001b[36mtold:\u001b[32m ['A5.4+']\n", + "\u001b[36mme:\u001b[32m ['A5.4+']\n", + "\u001b[36mit:\u001b[32m ['Z8']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36minoperable:\u001b[32m ['Z99']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 12: I was now a stage 4 colon cancer with an inoperable liver metastasis and two little boys aged 3 and 5 that i can't leave fatherless.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mnow:\u001b[32m ['T1.1.2', 'Z4']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mstage:\u001b[32m ['T1.2', 'N5.1-', 'H2/K4', 'K4', 'A4.1']\n", + "\u001b[36m4:\u001b[32m ['N1']\n", + "\u001b[36mcolon:\u001b[32m ['Q3', 'B1']\n", + "\u001b[36mcancer:\u001b[32m ['B2-']\n", + "\u001b[36mwith:\u001b[32m ['Z5']\n", + "\u001b[36man:\u001b[32m ['Z5']\n", + "\u001b[36minoperable:\u001b[32m ['Z99']\n", + "\u001b[36mliver:\u001b[32m ['B1', 'F1', 'S2mf']\n", + "\u001b[36mmetastasis:\u001b[32m ['Z99']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mtwo:\u001b[32m ['N1']\n", + "\u001b[36mlittle:\u001b[32m ['N1']\n", + "\u001b[36mboys:\u001b[32m ['S2.2m']\n", + "\u001b[36maged:\u001b[32m ['T3++', 'T3']\n", + "\u001b[36m3:\u001b[32m ['N1']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36m5:\u001b[32m ['N1']\n", + "\u001b[36mthat:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36mca:\u001b[32m ['A7+']\n", + "\u001b[36mn't:\u001b[32m ['Z6']\n", + "\u001b[36mleave:\u001b[32m ['M1', 'M2', 'A1.1.1', 'A1.9', 'A9-', 'T2-']\n", + "\u001b[36mfatherless:\u001b[32m ['S4']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 13: This was all during Corona lockdown days and my family and kids could not be with me all the time due to restrictions at the hospitals.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mThis:\u001b[32m ['M6', 'Z5', 'Z8']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mall:\u001b[32m ['N5.1+']\n", + "\u001b[36mduring:\u001b[32m ['Z5']\n", + "\u001b[36mCorona:\u001b[32m ['T1.3']\n", + "\u001b[36mlockdown:\u001b[32m ['T1.3']\n", + "\u001b[36mdays:\u001b[32m ['T1.3']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mmy:\u001b[32m ['Z8']\n", + "\u001b[36mfamily:\u001b[32m ['T1.3']\n", + "\u001b[36mand:\u001b[32m ['T1.3']\n", + "\u001b[36mkids:\u001b[32m ['T1.3']\n", + "\u001b[36mcould:\u001b[32m ['A7+']\n", + "\u001b[36mnot:\u001b[32m ['Z6']\n", + "\u001b[36mbe:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mwith:\u001b[32m ['Z5']\n", + "\u001b[36mme:\u001b[32m ['Z8mf']\n", + "\u001b[36mall:\u001b[32m ['N5.1+']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mtime:\u001b[32m ['T1', 'T1.2', 'T1.3', 'T1.1.2', 'N6', 'N1', 'K2', 'G2.1@']\n", + "\u001b[36mdue:\u001b[32m ['A2.2']\n", + "\u001b[36mto:\u001b[32m ['A2.2']\n", + "\u001b[36mrestrictions:\u001b[32m ['A1.7+']\n", + "\u001b[36mat:\u001b[32m ['Z5']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mhospitals:\u001b[32m ['B3/H1c']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 14: Nevertheless, i am not a quitter and i saw this as a new challenge that i need to beat.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mNevertheless:\u001b[32m ['Z4']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36mam:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mnot:\u001b[32m ['Z6']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mquitter:\u001b[32m ['Z99']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mi:\u001b[32m ['Z4']\n", + "\u001b[36msaw:\u001b[32m ['Z4']\n", + "\u001b[36mthis:\u001b[32m ['M6', 'Z5', 'Z8']\n", + "\u001b[36mas:\u001b[32m ['Z5']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mnew:\u001b[32m ['T3-']\n", + "\u001b[36mchallenge:\u001b[32m ['A12-', 'A6.1-', 'S7.3+', 'E3-']\n", + "\u001b[36mthat:\u001b[32m ['A13.3', 'A6.1+']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36mneed:\u001b[32m ['S6+']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mbeat:\u001b[32m ['X9.2+/S7.3', 'X9.2+/G3', 'S7.1+', 'E3-', 'A1.1.1', 'A5.1++', 'B1']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 15: With low odds to start, i was free of any sign of cancer after 1,5 years long chemotherapy and radiotherapy that kicked my balls.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mWith:\u001b[32m ['Z5']\n", + "\u001b[36mlow:\u001b[32m ['N3.7-', 'N5-', 'A5.1-', 'A11.1-', 'E4.1-', 'X3.2-', 'G2.2-', 'S7.1-']\n", + "\u001b[36modds:\u001b[32m ['A7', 'O2', 'N2%']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mstart:\u001b[32m ['T2+', 'E5-', 'E3-']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mfree:\u001b[32m ['S6-', 'A1.7-', 'A1.5.1-', 'I1.3-']\n", + "\u001b[36mof:\u001b[32m ['N6+', 'T1.2']\n", + "\u001b[36many:\u001b[32m ['N6+', 'T1.2']\n", + "\u001b[36msign:\u001b[32m ['N6+', 'T1.2']\n", + "\u001b[36mof:\u001b[32m ['Z5']\n", + "\u001b[36mcancer:\u001b[32m ['B2-']\n", + "\u001b[36mafter:\u001b[32m ['Z5']\n", + "\u001b[36m1,5:\u001b[32m ['N1']\n", + "\u001b[36myears:\u001b[32m ['T1.3']\n", + "\u001b[36mlong:\u001b[32m ['N3.7+', 'T1.3+', 'N3.3+', 'N3.2+']\n", + "\u001b[36mchemotherapy:\u001b[32m ['T1.3']\n", + "\u001b[36mand:\u001b[32m ['T1.3']\n", + "\u001b[36mradiotherapy:\u001b[32m ['T1.3']\n", + "\u001b[36mthat:\u001b[32m ['A13.3', 'A6.1+']\n", + "\u001b[36mkicked:\u001b[32m ['A5.4+']\n", + "\u001b[36mmy:\u001b[32m ['A5.4+']\n", + "\u001b[36mballs:\u001b[32m ['O2/O4.4', 'K5.1', 'B1', 'K1']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 16: I did not even need a liver surgery.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mdid:\u001b[32m ['A1.1.1', 'G2.2-', 'X9.2+', 'E3-', 'G2.1%', 'Z5']\n", + "\u001b[36mnot:\u001b[32m ['Z6']\n", + "\u001b[36meven:\u001b[32m ['A13.1']\n", + "\u001b[36mneed:\u001b[32m ['S6+']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mliver:\u001b[32m ['B1', 'F1', 'S2mf']\n", + "\u001b[36msurgery:\u001b[32m ['B3', 'B3/H1', 'B3/H2', 'S8+/T1.3']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 17: The score was 2-0 now and we were crossing our fingers that it will never return.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mThe:\u001b[32m ['Z5']\n", + "\u001b[36mscore:\u001b[32m ['K5', 'A5.1', 'N3.1', 'O2', 'K2', 'X4.1', 'N5%']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36m2:\u001b[32m ['N1']\n", + "\u001b[36m-:\u001b[32m ['Z99']\n", + "\u001b[36m0:\u001b[32m ['N1']\n", + "\u001b[36mnow:\u001b[32m ['T1.1.2', 'Z4']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mwe:\u001b[32m ['Z8']\n", + "\u001b[36mwere:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mcrossing:\u001b[32m ['A5.4+']\n", + "\u001b[36mour:\u001b[32m ['A5.4+']\n", + "\u001b[36mfingers:\u001b[32m ['B1', 'O4.4']\n", + "\u001b[36mthat:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36mit:\u001b[32m ['Z8']\n", + "\u001b[36mwill:\u001b[32m ['T1.1.3']\n", + "\u001b[36mnever:\u001b[32m ['T1/Z6']\n", + "\u001b[36mreturn:\u001b[32m ['M1', 'A9-', 'N6']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 18: It didn't, but a completely seperate cancer was going to be my new challenge now.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mIt:\u001b[32m ['Z8']\n", + "\u001b[36mdid:\u001b[32m ['A1.1.1', 'G2.2-', 'X9.2+', 'E3-', 'G2.1%', 'Z5']\n", + "\u001b[36mn't:\u001b[32m ['Z6']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mbut:\u001b[32m ['Z5']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mcompletely:\u001b[32m ['A13.2']\n", + "\u001b[36mseperate:\u001b[32m ['A6.1-']\n", + "\u001b[36mcancer:\u001b[32m ['B2-']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mgoing:\u001b[32m ['T1.1.3']\n", + "\u001b[36mto:\u001b[32m ['T1.1.3']\n", + "\u001b[36mbe:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mmy:\u001b[32m ['Z8']\n", + "\u001b[36mnew:\u001b[32m ['T3-']\n", + "\u001b[36mchallenge:\u001b[32m ['A12-', 'A6.1-', 'S7.3+', 'E3-']\n", + "\u001b[36mnow:\u001b[32m ['T1.1.2', 'Z4']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 19: Doctors were suspicious about my thyroid during another routine scanning.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mDoctors:\u001b[32m ['B3/I3.2/S2mf', 'P1/S2mf']\n", + "\u001b[36mwere:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36msuspicious:\u001b[32m ['X2.1/A5.1-', 'G2.1-']\n", + "\u001b[36mabout:\u001b[32m ['Z5']\n", + "\u001b[36mmy:\u001b[32m ['Z8']\n", + "\u001b[36mthyroid:\u001b[32m ['B1']\n", + "\u001b[36mduring:\u001b[32m ['Z5']\n", + "\u001b[36manother:\u001b[32m ['A6.1-', 'N5++']\n", + "\u001b[36mroutine:\u001b[32m ['A6.2+']\n", + "\u001b[36mscanning:\u001b[32m ['X3.4/N3.8+', 'X2.4/N3.8+', 'Y1/B3', 'Y2', 'Q3%']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 20: After additional screenings and needle biopsies, it turns out i have thyroid cancer now.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mAfter:\u001b[32m ['Z5']\n", + "\u001b[36madditional:\u001b[32m ['N5++']\n", + "\u001b[36mscreenings:\u001b[32m ['T1.3']\n", + "\u001b[36mand:\u001b[32m ['T1.3']\n", + "\u001b[36mneedle:\u001b[32m ['T1.3']\n", + "\u001b[36mbiopsies:\u001b[32m ['B3']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mit:\u001b[32m ['Z8']\n", + "\u001b[36mturns:\u001b[32m ['M2', 'M1', 'O4.4', 'A1.1.1', 'A2.1+', 'O4.2-']\n", + "\u001b[36mout:\u001b[32m ['Z5']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36mhave:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mthyroid:\u001b[32m ['B1']\n", + "\u001b[36mcancer:\u001b[32m ['B2-']\n", + "\u001b[36mnow:\u001b[32m ['T1.1.2', 'Z4']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 21: I was like \"meh, this one is easy\".\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mlike:\u001b[32m ['Z5']\n", + "\u001b[36m\":\u001b[32m ['PUNCT']\n", + "\u001b[36mmeh:\u001b[32m ['Z99']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mthis:\u001b[32m ['M6', 'Z5', 'Z8']\n", + "\u001b[36mone:\u001b[32m ['Z8', 'N1']\n", + "\u001b[36mis:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36measy:\u001b[32m ['A12+']\n", + "\u001b[36m\":\u001b[32m ['PUNCT']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 22: Yesterday, i have all my thyroids removed in a surgery.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mYesterday:\u001b[32m ['T1.1.1']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36mhave:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mall:\u001b[32m ['N5.1+']\n", + "\u001b[36mmy:\u001b[32m ['Z8']\n", + "\u001b[36mthyroids:\u001b[32m ['B1']\n", + "\u001b[36mremoved:\u001b[32m ['M2']\n", + "\u001b[36min:\u001b[32m ['Z5']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36msurgery:\u001b[32m ['B3', 'B3/H1', 'B3/H2', 'S8+/T1.3']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 23: The tumor was already 2 cm.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mThe:\u001b[32m ['Z5']\n", + "\u001b[36mtumor:\u001b[32m ['Z99']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36malready:\u001b[32m ['T1.1.1']\n", + "\u001b[36m2:\u001b[32m ['N1']\n", + "\u001b[36mcm:\u001b[32m ['Z99']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 24: It is now 3-0.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mIt:\u001b[32m ['Z8']\n", + "\u001b[36mis:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mnow:\u001b[32m ['T1.1.2', 'Z4']\n", + "\u001b[36m3:\u001b[32m ['N1']\n", + "\u001b[36m-:\u001b[32m ['Z99']\n", + "\u001b[36m0:\u001b[32m ['N1']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 25: I don't know what is expecting me now but surely whatever comes next, i will fight the damn thing.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mdo:\u001b[32m ['S1.1.3+', 'A1.1.1']\n", + "\u001b[36mn't:\u001b[32m ['Z6']\n", + "\u001b[36mknow:\u001b[32m ['A5.4+']\n", + "\u001b[36mwhat:\u001b[32m ['A5.4+']\n", + "\u001b[36mis:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mexpecting:\u001b[32m ['A5.4+']\n", + "\u001b[36mme:\u001b[32m ['A5.4+']\n", + "\u001b[36mnow:\u001b[32m ['T1.1.2', 'Z4']\n", + "\u001b[36mbut:\u001b[32m ['Z5']\n", + "\u001b[36msurely:\u001b[32m ['A7+']\n", + "\u001b[36mwhatever:\u001b[32m ['Z8', 'Z5']\n", + "\u001b[36mcomes:\u001b[32m ['M1', 'N3.1', 'A2.2', 'A3+', 'X2.1', 'A9+', 'S4', 'N4', 'S3.2']\n", + "\u001b[36mnext:\u001b[32m ['N4']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36mwill:\u001b[32m ['T1.1.3']\n", + "\u001b[36mfight:\u001b[32m ['S8-', 'X8+', 'E3-', 'G1.2']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mdamn:\u001b[32m ['Z4']\n", + "\u001b[36mthing:\u001b[32m ['O2', 'X4.1', 'A7-', 'S2mf', 'L2mf']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 26: Meanwhile i will have preventive chemotherapy every 6 months and will keep enjoying raising my kids.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mMeanwhile:\u001b[32m ['T1.1.2']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36mwill:\u001b[32m ['T1.1.3']\n", + "\u001b[36mhave:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mpreventive:\u001b[32m ['S8-']\n", + "\u001b[36mchemotherapy:\u001b[32m ['B3']\n", + "\u001b[36mevery:\u001b[32m ['N6+']\n", + "\u001b[36m6:\u001b[32m ['N6+']\n", + "\u001b[36mmonths:\u001b[32m ['N6+']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mwill:\u001b[32m ['T1.1.3']\n", + "\u001b[36mkeep:\u001b[32m ['A9+', 'N6+', 'T2++', 'A1.7+', 'A2.2', 'F4', 'S8+', 'H4']\n", + "\u001b[36menjoying:\u001b[32m ['E2+', 'A9+', 'E4.1+']\n", + "\u001b[36mraising:\u001b[32m ['A5.4+']\n", + "\u001b[36mmy:\u001b[32m ['A5.4+']\n", + "\u001b[36mkids:\u001b[32m ['S2mf/T3-', 'S4mf', 'L2']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 27: So comrade, consider yours a challenge as well.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mSo:\u001b[32m ['Z5', 'A13.3']\n", + "\u001b[36mcomrade:\u001b[32m ['S3.1/S2mf']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mconsider:\u001b[32m ['X2.1', 'X2.4', 'X6']\n", + "\u001b[36myours:\u001b[32m ['Z8']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mchallenge:\u001b[32m ['A12-', 'A6.1-', 'S7.3+', 'E3-']\n", + "\u001b[36mas:\u001b[32m ['N5++']\n", + "\u001b[36mwell:\u001b[32m ['N5++']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 28: You have the strength and optimism in you too no matter how hard life is.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mYou:\u001b[32m ['Z8mf']\n", + "\u001b[36mhave:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mstrength:\u001b[32m ['T1.3']\n", + "\u001b[36mand:\u001b[32m ['T1.3']\n", + "\u001b[36moptimism:\u001b[32m ['T1.3']\n", + "\u001b[36min:\u001b[32m ['Z5']\n", + "\u001b[36myou:\u001b[32m ['Z8mf']\n", + "\u001b[36mtoo:\u001b[32m ['N5++', 'N5.2+', 'A13.3']\n", + "\u001b[36mno:\u001b[32m ['Z6']\n", + "\u001b[36mmatter:\u001b[32m ['X4.1', 'O1']\n", + "\u001b[36mhow:\u001b[32m ['Z5', 'A13.3']\n", + "\u001b[36mhard:\u001b[32m ['O4.5', 'A12-', 'S1.2.5+', 'O4.1']\n", + "\u001b[36mlife:\u001b[32m ['L1+', 'A3+', 'T1.3', 'S1.1.1', 'A1.1.1', 'X5.2+', 'Q4.1', 'A11.1+++', 'A5.4+/C1']\n", + "\u001b[36mis:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 29: Keep your head up and score.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mKeep:\u001b[32m ['A5.4+']\n", + "\u001b[36myour:\u001b[32m ['A5.4+']\n", + "\u001b[36mhead:\u001b[32m ['B1', 'S7.1+/S2mf', 'P1/S2mf', 'X1', 'M6', 'A4.1', 'S2mf', 'F2', 'H5/M4%']\n", + "\u001b[36mup:\u001b[32m ['Z5']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mscore:\u001b[32m ['K5', 'A5.1', 'N3.1', 'X9.2+', 'A1.1.1']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Output tags text 1\n", + "text1_tags" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "hY_9obfqkZZ8", + "outputId": "f8aa0281-3f66-4b5d-902e-54615d364d8b" + }, + "execution_count": 10, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "{0: {'Hello': ['Z4'],\n", + " 'comrades': ['S3.1/S2mf'],\n", + " ',': ['PUNCT'],\n", + " 'just': ['A14', 'T3---', 'T1.3-', 'N3.3---'],\n", + " 'wanted': ['X7+', 'S6+', 'A7+', 'G2.1-', 'S3.2', 'A9-'],\n", + " 'to': ['T1.1.3'],\n", + " 'share': ['A5.4+'],\n", + " 'my': ['A5.4+'],\n", + " 'story': ['Q2.1', 'X4.1', 'Q4'],\n", + " 'after': ['Z5'],\n", + " 'a': ['Z5'],\n", + " 'surgery': ['B3', 'B3/H1', 'B3/H2', 'S8+/T1.3'],\n", + " 'where': ['M6'],\n", + " 'i': ['Z8mf'],\n", + " 'scored': ['K5', 'A5.1', 'N3.1', 'X9.2+', 'A1.1.1'],\n", + " 'another': ['A6.1-', 'N5++'],\n", + " 'goal': ['K5.1', 'X7+'],\n", + " 'against': ['Z5'],\n", + " 'cancer': ['B2-'],\n", + " 'and': ['Z5'],\n", + " 'made': ['A5.4+'],\n", + " 'it': ['Z8'],\n", + " '3': ['N1'],\n", + " '-': ['Z99'],\n", + " '0': ['N1'],\n", + " '.': ['PUNCT'],\n", + " 'Hope': ['A5.4+'],\n", + " 'will': ['T1.1.3'],\n", + " 'be': ['A3+', 'Z5'],\n", + " 'inspiring': ['S8+'],\n", + " 'somebody': ['Z8mfc'],\n", + " 'out': ['Z5'],\n", + " 'there': ['M6'],\n", + " 'I': ['Z8mf'],\n", + " 'was': ['A3+', 'Z5'],\n", + " 'diagnosed': ['B3', 'X2.4'],\n", + " 'colon': ['Q3', 'B1'],\n", + " 'in': ['Z5'],\n", + " 'May': ['Z2', 'Z1mf', 'T1.3'],\n", + " '2020': ['Z2', 'Z1mf', 'T1.3'],\n", + " 'when': ['Z5'],\n", + " 'had': ['A9+', 'Z5', 'A2.2', 'S4'],\n", + " 'major': ['A11.1+', 'N3.2+'],\n", + " 'bleeding': ['B1'],\n", + " 'from': ['Z5'],\n", + " 'you': ['Z8mf'],\n", + " 'know': ['A5.4+'],\n", + " 'Before': ['Z5'],\n", + " '30': ['N1'],\n", + " 'cm': ['Z99'],\n", + " 'of': ['Z5'],\n", + " 'resected': ['Z99'],\n", + " 'by': ['Z5'],\n", + " 'the': ['Z5'],\n", + " 'surgeons': ['B3/S2mf'],\n", + " 'The': ['Z5'],\n", + " 'recovery': ['B2+', 'A5.1+/A2.1', 'A9+'],\n", + " 'tough': ['S1.2.5+', 'E3-', 'O4.5', 'A12-', 'Z4'],\n", + " 'but': ['Z5'],\n", + " 'manageable': ['A12+'],\n", + " 'good': ['A5.1+', 'G2.2+', 'O4.2+', 'A1.5.2+', 'N3.2+'],\n", + " 'part': ['N5.1-', 'O2', 'M7', 'I3.1', 'S1.1.3+', 'K4'],\n", + " 'that': ['Z5', 'Z8'],\n", + " 'even': ['A13.1'],\n", + " 'though': ['Z5'],\n", + " 'tumor': ['Z99'],\n", + " 'large': ['N3.2+', 'N5+', 'A11.1+'],\n", + " 'lymph': ['B1'],\n", + " 'nodes': ['B1'],\n", + " 'were': ['A3+', 'Z5'],\n", + " 'clear': ['A7+', 'A10+', 'O4.3', 'O4.1', 'N5.1+', 'W4'],\n", + " 'making': ['A5.4+'],\n", + " 'me': ['A5.4+'],\n", + " 'stage': ['T1.2', 'N5.1-', 'H2/K4', 'K4', 'A4.1'],\n", + " '2': ['N1'],\n", + " 'According': ['A9-', 'A6.1+'],\n", + " 'doctors': ['B3/I3.2/S2mf', 'P1/S2mf'],\n", + " 'one': ['Z8', 'N1'],\n", + " 'lucky': ['A1.4+'],\n", + " 'ones': ['Z8'],\n", + " 'has': ['A9+', 'Z5', 'A2.2', 'S4'],\n", + " 'behind': ['Z5'],\n", + " 'now': ['T1.1.2', 'Z4'],\n", + " 'with': ['Z5'],\n", + " 'new': ['T3-'],\n", + " 'bar': ['F2/H1c', 'F2/H2', 'F2/H5', 'O2', 'O4.4', 'S8-', 'G2.1c', 'K2'],\n", + " 'tell': ['Q2.2', 'Q2.1', 'X3', 'A10+'],\n", + " 'score': ['K5', 'A5.1', 'N3.1', 'X9.2+', 'A1.1.1'],\n", + " '1': ['N1'],\n", + " 'for': ['Z5'],\n", + " 'Yet': ['T1.1.2'],\n", + " 'later': ['T4--', 'T1.1.3', 'N4'],\n", + " 'learned': ['A12-'],\n", + " 'hard': ['O4.5', 'A12-', 'S1.2.5+', 'O4.1'],\n", + " 'way': ['A12-'],\n", + " 'this': ['M6', 'Z5', 'Z8'],\n", + " 'shit': ['B1', 'O4.2-', 'O4.2-/S2mf'],\n", + " 'can': ['A7+'],\n", + " 'travel': ['M1'],\n", + " 'via': ['Z5'],\n", + " 'bloodstream': ['B1'],\n", + " 'too': ['N5++', 'N5.2+', 'A13.3'],\n", + " 'In': ['Z5'],\n", + " 'January': ['Z2', 'Z1mf', 'T1.3'],\n", + " '2021': ['Z2', 'Z1mf', 'T1.3'],\n", + " 'routine': ['A6.2+'],\n", + " 'scanning': ['X3.4/N3.8+', 'X2.4/N3.8+', 'Y1/B3', 'Y2', 'Q3%'],\n", + " 'came': ['M6'],\n", + " 'back': ['M6'],\n", + " 'rather': ['Z4', 'E2++', 'A13.5'],\n", + " 'unpleasant': ['O4.2-'],\n", + " 'news': ['X2.2+/T3-', 'X2.2+/Q4.2', 'X2.2+/Q4.3'],\n", + " 'several': ['N5'],\n", + " 'lesions': ['Z99'],\n", + " 'on': ['Z5'],\n", + " 'liver': ['B1', 'F1', 'S2mf'],\n", + " 'world': ['W1', 'S5+c', 'A4.1', 'N5+'],\n", + " 'collapsed': ['A1.1.2', 'B2-', 'N3.2-/A2.1'],\n", + " 'surgeon': ['B3/S2mf'],\n", + " 'told': ['A5.4+'],\n", + " 'inoperable': ['Z99'],\n", + " '4': ['N1'],\n", + " 'an': ['Z5'],\n", + " 'metastasis': ['Z99'],\n", + " 'two': ['N1'],\n", + " 'little': ['N1'],\n", + " 'boys': ['S2.2m'],\n", + " 'aged': ['T3++', 'T3'],\n", + " '5': ['N1'],\n", + " 'ca': ['A7+'],\n", + " \"n't\": ['Z6'],\n", + " 'leave': ['M1', 'M2', 'A1.1.1', 'A1.9', 'A9-', 'T2-'],\n", + " 'fatherless': ['S4'],\n", + " 'This': ['M6', 'Z5', 'Z8'],\n", + " 'all': ['N5.1+'],\n", + " 'during': ['Z5'],\n", + " 'Corona': ['T1.3'],\n", + " 'lockdown': ['T1.3'],\n", + " 'days': ['T1.3'],\n", + " 'family': ['T1.3'],\n", + " 'kids': ['S2mf/T3-', 'S4mf', 'L2'],\n", + " 'could': ['A7+'],\n", + " 'not': ['Z6'],\n", + " 'time': ['T1', 'T1.2', 'T1.3', 'T1.1.2', 'N6', 'N1', 'K2', 'G2.1@'],\n", + " 'due': ['A2.2'],\n", + " 'restrictions': ['A1.7+'],\n", + " 'at': ['Z5'],\n", + " 'hospitals': ['B3/H1c'],\n", + " 'Nevertheless': ['Z4'],\n", + " 'am': ['A3+', 'Z5'],\n", + " 'quitter': ['Z99'],\n", + " 'saw': ['Z4'],\n", + " 'as': ['N5++'],\n", + " 'challenge': ['A12-', 'A6.1-', 'S7.3+', 'E3-'],\n", + " 'need': ['S6+'],\n", + " 'beat': ['X9.2+/S7.3', 'X9.2+/G3', 'S7.1+', 'E3-', 'A1.1.1', 'A5.1++', 'B1'],\n", + " 'With': ['Z5'],\n", + " 'low': ['N3.7-',\n", + " 'N5-',\n", + " 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'X2.2+/Q4.2', 'X2.2+/Q4.3'],\n", + " 'several': ['N5'],\n", + " 'lesions': ['Z99'],\n", + " 'on': ['Z5'],\n", + " 'liver': ['B1', 'F1', 'S2mf'],\n", + " 'world': ['W1', 'S5+c', 'A4.1', 'N5+'],\n", + " 'collapsed': ['A1.1.2', 'B2-', 'N3.2-/A2.1'],\n", + " 'surgeon': ['B3/S2mf'],\n", + " 'told': ['A5.4+'],\n", + " 'inoperable': ['Z99'],\n", + " '4': ['N1'],\n", + " 'an': ['Z5'],\n", + " 'metastasis': ['Z99'],\n", + " 'two': ['N1'],\n", + " 'little': ['N1'],\n", + " 'boys': ['S2.2m'],\n", + " 'aged': ['T3++', 'T3'],\n", + " '5': ['N1'],\n", + " 'ca': ['A7+'],\n", + " \"n't\": ['Z6'],\n", + " 'leave': ['M1', 'M2', 'A1.1.1', 'A1.9', 'A9-', 'T2-'],\n", + " 'fatherless': ['S4'],\n", + " 'This': ['M6', 'Z5', 'Z8'],\n", + " 'all': ['N5.1+'],\n", + " 'during': ['Z5'],\n", + " 'Corona': ['T1.3'],\n", + " 'lockdown': ['T1.3'],\n", + " 'days': ['T1.3'],\n", + " 'family': ['T1.3'],\n", + " 'kids': ['S2mf/T3-', 'S4mf', 'L2'],\n", + " 'could': ['A7+'],\n", + " 'not': ['Z6'],\n", + " 'time': ['T1', 'T1.2', 'T1.3', 'T1.1.2', 'N6', 'N1', 'K2', 'G2.1@'],\n", + " 'due': ['A2.2'],\n", + " 'restrictions': ['A1.7+'],\n", + " 'at': ['Z5'],\n", + " 'hospitals': ['B3/H1c'],\n", + " 'Nevertheless': ['Z4'],\n", + " 'am': ['A3+', 'Z5'],\n", + " 'quitter': ['Z99'],\n", + " 'saw': ['Z4'],\n", + " 'as': ['N5++'],\n", + " 'challenge': ['A12-', 'A6.1-', 'S7.3+', 'E3-'],\n", + " 'need': ['S6+'],\n", + " 'beat': ['X9.2+/S7.3', 'X9.2+/G3', 'S7.1+', 'E3-', 'A1.1.1', 'A5.1++', 'B1'],\n", + " 'With': ['Z5'],\n", + " 'low': ['N3.7-',\n", + " 'N5-',\n", + " 'A5.1-',\n", + " 'A11.1-',\n", + " 'E4.1-',\n", + " 'X3.2-',\n", + " 'G2.2-',\n", + " 'S7.1-'],\n", + " 'odds': ['A7', 'O2', 'N2%'],\n", + " 'start': ['T2+', 'E5-', 'E3-'],\n", + " 'free': ['S6-', 'A1.7-', 'A1.5.1-', 'I1.3-'],\n", + " 'any': ['N6+', 'T1.2'],\n", + " 'sign': ['N6+', 'T1.2'],\n", + " '1,5': ['N1'],\n", + " 'years': ['T1.3'],\n", + " 'long': ['N3.7+', 'T1.3+', 'N3.3+', 'N3.2+'],\n", + " 'chemotherapy': ['B3'],\n", + " 'radiotherapy': ['T1.3'],\n", + " 'kicked': ['A5.4+'],\n", + " 'balls': ['O2/O4.4', 'K5.1', 'B1', 'K1'],\n", + " 'did': ['A1.1.1', 'G2.2-', 'X9.2+', 'E3-', 'G2.1%', 'Z5'],\n", + " 'we': ['Z8'],\n", + " 'crossing': ['A5.4+'],\n", + " 'our': ['A5.4+'],\n", + " 'fingers': ['B1', 'O4.4'],\n", + " 'never': ['T1/Z6'],\n", + " 'return': ['M1', 'A9-', 'N6'],\n", + " 'It': ['Z8'],\n", + " 'completely': ['A13.2'],\n", + " 'seperate': ['A6.1-'],\n", + " 'going': ['T1.1.3'],\n", + " 'Doctors': ['B3/I3.2/S2mf', 'P1/S2mf'],\n", + " 'suspicious': ['X2.1/A5.1-', 'G2.1-'],\n", + " 'about': ['Z5'],\n", + " 'thyroid': ['B1'],\n", + " 'After': ['Z5'],\n", + " 'additional': ['N5++'],\n", + " 'screenings': ['T1.3'],\n", + " 'needle': ['T1.3'],\n", + " 'biopsies': ['B3'],\n", + " 'turns': ['M2', 'M1', 'O4.4', 'A1.1.1', 'A2.1+', 'O4.2-'],\n", + " 'have': ['A9+', 'Z5', 'A2.2', 'S4'],\n", + " 'like': ['Z5'],\n", + " '\"': ['PUNCT'],\n", + " 'meh': ['Z99'],\n", + " 'is': ['A3+', 'Z5'],\n", + " 'easy': ['A12+'],\n", + " 'Yesterday': ['T1.1.1'],\n", + " 'thyroids': ['B1'],\n", + " 'removed': ['M2'],\n", + " 'already': ['T1.1.1'],\n", + " 'do': ['S1.1.3+', 'A1.1.1'],\n", + " 'what': ['A5.4+'],\n", + " 'expecting': ['A5.4+'],\n", + " 'surely': ['A7+'],\n", + " 'whatever': ['Z8', 'Z5'],\n", + " 'comes': ['M1', 'N3.1', 'A2.2', 'A3+', 'X2.1', 'A9+', 'S4', 'N4', 'S3.2'],\n", + " 'next': ['N4'],\n", + " 'fight': ['S8-', 'X8+', 'E3-', 'G1.2'],\n", + " 'damn': ['Z4'],\n", + " 'thing': ['O2', 'X4.1', 'A7-', 'S2mf', 'L2mf'],\n", + " 'Meanwhile': ['T1.1.2'],\n", + " 'preventive': ['S8-'],\n", + " 'every': ['N6+'],\n", + " '6': ['N6+'],\n", + " 'months': ['N6+'],\n", + " 'keep': ['A9+', 'N6+', 'T2++', 'A1.7+', 'A2.2', 'F4', 'S8+', 'H4'],\n", + " 'enjoying': ['E2+', 'A9+', 'E4.1+'],\n", + " 'raising': ['A5.4+'],\n", + " 'So': ['Z5', 'A13.3'],\n", + " 'comrade': ['S3.1/S2mf'],\n", + " 'consider': ['X2.1', 'X2.4', 'X6'],\n", + " 'yours': ['Z8'],\n", + " 'well': ['N5++'],\n", + " 'You': ['Z8mf'],\n", + " 'strength': ['T1.3'],\n", + " 'optimism': ['T1.3'],\n", + " 'no': ['Z6'],\n", + " 'matter': ['X4.1', 'O1'],\n", + " 'how': ['Z5', 'A13.3'],\n", + " 'life': ['L1+',\n", + " 'A3+',\n", + " 'T1.3',\n", + " 'S1.1.1',\n", + " 'A1.1.1',\n", + " 'X5.2+',\n", + " 'Q4.1',\n", + " 'A11.1+++',\n", + " 'A5.4+/C1'],\n", + " 'Keep': ['A5.4+'],\n", + " 'your': ['A5.4+'],\n", + " 'head': ['B1',\n", + " 'S7.1+/S2mf',\n", + " 'P1/S2mf',\n", + " 'X1',\n", + " 'M6',\n", + " 'A4.1',\n", + " 'S2mf',\n", + " 'F2',\n", + " 'H5/M4%'],\n", + " 'up': ['Z5']}}" + ] + }, + "metadata": {}, + "execution_count": 10 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Input text 2\n", + "text_2 = \"\"\"Hi all,\n", + "\n", + "I’m 15 years old, and i was diagnosed with osteosarcoma in May of 2019. I did 18 rounds of chemo, a limb salvage surgery on my right leg and was given the all clear in February. I recently found out I have relapsed after only three months in remission.\n", + "\n", + "My oncologist gave us another treatment plan which will involve 6 cycles of a different kind of chemotherapy and surgery to remove the nodules in my lungs.\n", + "\n", + "This time around I feel really scared and discouraged. I can do treatment again, i’ve done it before but I understand this time that the prognosis is much poorer especially with how fast i relapsed. I had so many things planned for my life after treatment, i’ve been getting stronger in physical therapy and this just feels so unfair, i’m scared for what my future holds and i want to be a long term survivor so badly but I honestly feel cautious to be optimistic with the numbers my oncologist gave me.\n", + "\n", + "I’m not really sure why i’m posting this, i’ve never posted before but i think i’m just looking for reasons to keep going and stay positive from others in this community even when the odds are against me\n", + "\n", + "sending good luck and love to you all <3\"\"\"" + ], + "metadata": { + "id": "C2TbKTIuNaf-" + }, + "execution_count": 11, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Tagging input text 2\n", + "text2_tags = tag_text(text_2)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "G9TDdKt4lLvh", + "outputId": "82fa0198-d21a-4e28-b5f8-65890e240110" + }, + "execution_count": 12, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 0: Hi all,\n", + "\n", + "I’m 15 years old, and i was diagnosed with osteosarcoma in May of 2019.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mHi:\u001b[32m ['Z4']\n", + "\u001b[36mall:\u001b[32m ['N5.1+']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36m\n", + "\n", + ":\u001b[32m ['Z99']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36m’m:\u001b[32m ['Z99']\n", + "\u001b[36m15:\u001b[32m ['T3']\n", + "\u001b[36myears:\u001b[32m ['T3']\n", + "\u001b[36mold:\u001b[32m ['T3']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mdiagnosed:\u001b[32m ['B3', 'X2.4']\n", + "\u001b[36mwith:\u001b[32m ['Z5']\n", + "\u001b[36mosteosarcoma:\u001b[32m ['Z99']\n", + "\u001b[36min:\u001b[32m ['Z5']\n", + "\u001b[36mMay:\u001b[32m ['T1.3', 'Z1f']\n", + "\u001b[36mof:\u001b[32m ['Z5']\n", + "\u001b[36m2019:\u001b[32m ['N1']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 1: I did 18 rounds of chemo, a limb salvage surgery on my right leg and was given the all clear in February.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mdid:\u001b[32m ['A1.1.1', 'G2.2-', 'X9.2+', 'E3-', 'G2.1%', 'Z5']\n", + "\u001b[36m18:\u001b[32m ['N1']\n", + "\u001b[36mrounds:\u001b[32m ['N5', 'K5.1', 'M1', 'F2', 'B3', 'F1', 'K2%', 'G3%']\n", + "\u001b[36mof:\u001b[32m ['Z5']\n", + "\u001b[36mchemo:\u001b[32m ['B3']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mlimb:\u001b[32m ['B1', 'L3']\n", + "\u001b[36msalvage:\u001b[32m ['O2', 'A9+']\n", + "\u001b[36msurgery:\u001b[32m ['B3', 'B3/H1', 'B3/H2', 'S8+/T1.3']\n", + "\u001b[36mon:\u001b[32m ['Z5']\n", + "\u001b[36mmy:\u001b[32m ['Z8']\n", + "\u001b[36mright:\u001b[32m ['A5.3+', 'A4.2+', 'A1.2+', 'G2.2+', 'M6', 'N3.2+', 'A13.3', 'A13.2']\n", + "\u001b[36mleg:\u001b[32m ['B1', 'O2', 'N3.3']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mgiven:\u001b[32m ['A9-', 'A1.1.1']\n", + "\u001b[36mthe:\u001b[32m ['B2+']\n", + "\u001b[36mall:\u001b[32m ['B2+']\n", + "\u001b[36mclear:\u001b[32m ['B2+']\n", + "\u001b[36min:\u001b[32m ['Z5']\n", + "\u001b[36mFebruary:\u001b[32m ['T1.3']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 2: I recently found out I have relapsed after only three months in remission.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mrecently:\u001b[32m ['T3---']\n", + "\u001b[36mfound:\u001b[32m ['A10+', 'X2.1', 'X6+', 'T2+', 'A2.2', 'A1.1.1']\n", + "\u001b[36mout:\u001b[32m ['Z5']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mhave:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mrelapsed:\u001b[32m ['Z99']\n", + "\u001b[36mafter:\u001b[32m ['Z5']\n", + "\u001b[36monly:\u001b[32m ['A14']\n", + "\u001b[36mthree:\u001b[32m ['N1']\n", + "\u001b[36mmonths:\u001b[32m ['T1.3']\n", + "\u001b[36min:\u001b[32m ['Z5']\n", + "\u001b[36mremission:\u001b[32m ['G2.1', 'B2+', 'T2-', 'A9-']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 3: My oncologist gave us another treatment plan which will involve 6 cycles of a different kind of chemotherapy and surgery to remove the nodules in my lungs.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mMy:\u001b[32m ['Z8']\n", + "\u001b[36moncologist:\u001b[32m ['Z99']\n", + "\u001b[36mgave:\u001b[32m ['A5.4+']\n", + "\u001b[36mus:\u001b[32m ['A5.4+']\n", + "\u001b[36manother:\u001b[32m ['A6.1-', 'N5++']\n", + "\u001b[36mtreatment:\u001b[32m ['B3', 'S1.1.1', 'A1.1.1', 'X4.2']\n", + "\u001b[36mplan:\u001b[32m ['X7+', 'C1/H1']\n", + "\u001b[36mwhich:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36mwill:\u001b[32m ['T1.1.3']\n", + "\u001b[36minvolve:\u001b[32m ['A1.8+']\n", + "\u001b[36m6:\u001b[32m ['N1']\n", + "\u001b[36mcycles:\u001b[32m ['M3fn', 'N6', 'B1']\n", + "\u001b[36mof:\u001b[32m ['Z5']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mdifferent:\u001b[32m ['A6.1-']\n", + "\u001b[36mkind:\u001b[32m ['A4.1']\n", + "\u001b[36mof:\u001b[32m ['Z5']\n", + "\u001b[36mchemotherapy:\u001b[32m ['T1.3']\n", + "\u001b[36mand:\u001b[32m ['T1.3']\n", + "\u001b[36msurgery:\u001b[32m ['T1.3']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mremove:\u001b[32m ['M2']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mnodules:\u001b[32m ['B2-', 'O2']\n", + "\u001b[36min:\u001b[32m ['Z5']\n", + "\u001b[36mmy:\u001b[32m ['Z8']\n", + "\u001b[36mlungs:\u001b[32m ['B1']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 4: This time around I feel really scared and discouraged.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mThis:\u001b[32m ['M6', 'Z5', 'Z8']\n", + "\u001b[36mtime:\u001b[32m ['T1', 'T1.2', 'T1.3', 'T1.1.2', 'N6', 'N1', 'K2', 'G2.1@']\n", + "\u001b[36maround:\u001b[32m ['Z5']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mfeel:\u001b[32m ['X2.1', 'E1', 'X3']\n", + "\u001b[36mreally:\u001b[32m ['A13.3', 'A5.2+']\n", + "\u001b[36mscared:\u001b[32m ['E5-', 'E6-']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mdiscouraged:\u001b[32m ['S8-']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 5: I can do treatment again, i’ve done it before but I understand this time that the prognosis is much poorer especially with how fast i relapsed.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mcan:\u001b[32m ['A7+']\n", + "\u001b[36mdo:\u001b[32m ['S1.1.3+', 'A1.1.1']\n", + "\u001b[36mtreatment:\u001b[32m ['B3', 'S1.1.1', 'A1.1.1', 'X4.2']\n", + "\u001b[36magain:\u001b[32m ['N6+', 'Z4']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36m’ve:\u001b[32m ['Z99']\n", + "\u001b[36mdone:\u001b[32m ['A5.4+']\n", + "\u001b[36mit:\u001b[32m ['A5.4+']\n", + "\u001b[36mbefore:\u001b[32m ['N4']\n", + "\u001b[36mbut:\u001b[32m ['Z5']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36munderstand:\u001b[32m ['X2.5+']\n", + "\u001b[36mthis:\u001b[32m ['M6', 'Z5', 'Z8']\n", + "\u001b[36mtime:\u001b[32m ['T1', 'T1.2', 'T1.3', 'T1.1.2', 'N6', 'N1', 'K2', 'G2.1@']\n", + "\u001b[36mthat:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mprognosis:\u001b[32m ['X2.6+']\n", + "\u001b[36mis:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mmuch:\u001b[32m ['A13.3', 'N6+']\n", + "\u001b[36mpoorer:\u001b[32m ['I1.1--', 'A5.1--', 'N5--', 'E4.1--', 'X9.1--']\n", + "\u001b[36mespecially:\u001b[32m ['A14']\n", + "\u001b[36mwith:\u001b[32m ['Z5']\n", + "\u001b[36mhow:\u001b[32m ['Z5', 'A13.3']\n", + "\u001b[36mfast:\u001b[32m ['N3.8+']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36mrelapsed:\u001b[32m ['Z99']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 6: I had so many things planned for my life after treatment, i’ve been getting stronger in physical therapy and this just feels so unfair, i’m scared for what my future holds and i want to be a long term survivor so badly but I honestly feel cautious to be optimistic with the numbers my oncologist gave me.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mhad:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mso:\u001b[32m ['Z5', 'A13.3']\n", + "\u001b[36mmany:\u001b[32m ['N5+']\n", + "\u001b[36mthings:\u001b[32m ['O2', 'X4.1', 'A7-', 'S2mf', 'L2mf']\n", + "\u001b[36mplanned:\u001b[32m ['X7+']\n", + "\u001b[36mfor:\u001b[32m ['Z5']\n", + "\u001b[36mmy:\u001b[32m ['Z8']\n", + "\u001b[36mlife:\u001b[32m ['L1+', 'A3+', 'T1.3', 'S1.1.1', 'A1.1.1', 'X5.2+', 'Q4.1', 'A11.1+++', 'A5.4+/C1']\n", + "\u001b[36mafter:\u001b[32m ['Z5']\n", + "\u001b[36mtreatment:\u001b[32m ['B3', 'S1.1.1', 'A1.1.1', 'X4.2']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36m’ve:\u001b[32m ['Z99']\n", + "\u001b[36mbeen:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mgetting:\u001b[32m ['A9+', 'Z5', 'X9.2+', 'A2.1+', 'A2.2', 'M1', 'M2', 'X2.5+', 'E4.1-']\n", + "\u001b[36mstronger:\u001b[32m ['S1.2.5++', 'N5++', 'A5.1++', 'X5.2++', 'S7.1++', 'X9.1++', 'O4.1', 'S1.2.3++']\n", + "\u001b[36min:\u001b[32m ['Z5']\n", + "\u001b[36mphysical:\u001b[32m ['B1', 'A1.6', 'E3-', 'Y1']\n", + "\u001b[36mtherapy:\u001b[32m ['B3']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mthis:\u001b[32m ['M6', 'Z5', 'Z8']\n", + "\u001b[36mjust:\u001b[32m ['A14', 'T3---', 'T1.3-', 'N3.3---']\n", + "\u001b[36mfeels:\u001b[32m ['X2.1', 'E1', 'X3']\n", + "\u001b[36mso:\u001b[32m ['Z5', 'A13.3']\n", + "\u001b[36munfair:\u001b[32m ['G2.2-']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36m’m:\u001b[32m ['Z99']\n", + "\u001b[36mscared:\u001b[32m ['E5-', 'E6-']\n", + "\u001b[36mfor:\u001b[32m ['Z5']\n", + "\u001b[36mwhat:\u001b[32m ['Z8', 'Z5']\n", + "\u001b[36mmy:\u001b[32m ['Z8']\n", + "\u001b[36mfuture:\u001b[32m ['T1.1.3']\n", + "\u001b[36mholds:\u001b[32m ['M2', 'A1.1.1', 'A9+', 'X2.1', 'S7.1+/A1.7+']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36mwant:\u001b[32m ['X7+', 'S6+', 'A7+', 'S3.2', 'A9-']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mbe:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mlong:\u001b[32m ['T1.3+']\n", + "\u001b[36mterm:\u001b[32m ['T1.3+']\n", + "\u001b[36msurvivor:\u001b[32m ['A3+/S2mf', 'L1+/S2mf']\n", + "\u001b[36mso:\u001b[32m ['Z5', 'A13.3']\n", + "\u001b[36mbadly:\u001b[32m ['A5.1-', 'A13.3']\n", + "\u001b[36mbut:\u001b[32m ['Z5']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mhonestly:\u001b[32m ['Z4', 'A5.2+']\n", + "\u001b[36mfeel:\u001b[32m ['X2.1', 'E1', 'X3']\n", + "\u001b[36mcautious:\u001b[32m ['A1.3+', 'E6-']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mbe:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36moptimistic:\u001b[32m ['X2.6/A5.1+/S1.2']\n", + "\u001b[36mwith:\u001b[32m ['Z5']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mnumbers:\u001b[32m ['N5', 'N1', 'Q1.3', 'K2', 'Q4.2']\n", + "\u001b[36mmy:\u001b[32m ['Z8']\n", + "\u001b[36moncologist:\u001b[32m ['Z99']\n", + "\u001b[36mgave:\u001b[32m ['A5.4+']\n", + "\u001b[36mme:\u001b[32m ['A5.4+']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 7: I’m not really sure why i’m posting this, i’ve never posted before but i think i’m just looking for reasons to keep going and stay positive from others in this community even when the odds are against me\n", + "\n", + "sending good luck and love to you all <3\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36m’m:\u001b[32m ['Z99']\n", + "\u001b[36mnot:\u001b[32m ['Z6']\n", + "\u001b[36mreally:\u001b[32m ['Z6']\n", + "\u001b[36msure:\u001b[32m ['A7+', 'Z4']\n", + "\u001b[36mwhy:\u001b[32m ['A2.2']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36m’m:\u001b[32m ['Z99']\n", + "\u001b[36mposting:\u001b[32m ['Q1.2', 'M2', 'I3.1']\n", + "\u001b[36mthis:\u001b[32m ['M6', 'Z5', 'Z8']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36m’ve:\u001b[32m ['Z99']\n", + "\u001b[36mnever:\u001b[32m ['T1/Z6']\n", + "\u001b[36mposted:\u001b[32m ['Q1.2', 'M2', 'I3.1']\n", + "\u001b[36mbefore:\u001b[32m ['N4']\n", + "\u001b[36mbut:\u001b[32m ['Z5']\n", + "\u001b[36mi:\u001b[32m ['Z4']\n", + "\u001b[36mthink:\u001b[32m ['Z4']\n", + "\u001b[36mi:\u001b[32m ['Z8mf']\n", + "\u001b[36m’m:\u001b[32m ['Z99']\n", + "\u001b[36mjust:\u001b[32m ['A14', 'T3---', 'T1.3-', 'N3.3---']\n", + "\u001b[36mlooking:\u001b[32m ['A8', 'X3.4', 'X2.4', 'X7+', 'Z4']\n", + "\u001b[36mfor:\u001b[32m ['Z5']\n", + "\u001b[36mreasons:\u001b[32m ['A2.2', 'X2.1']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mkeep:\u001b[32m ['A9+', 'N6+', 'T2++', 'A1.7+', 'A2.2', 'F4', 'S8+', 'H4']\n", + "\u001b[36mgoing:\u001b[32m ['M1', 'A2.1+', 'A1.1.1', 'A9-', 'A1.8+', 'Q2.1', 'N6+', 'I2.2', 'A1.1.2', 'T2-', 'S3.2', 'A6.3+', 'B2-/X1%', 'B1%']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mstay:\u001b[32m ['M8', 'T2++', 'H4']\n", + "\u001b[36mpositive:\u001b[32m ['A5.1+', 'A7+', 'N2']\n", + "\u001b[36mfrom:\u001b[32m ['Z5']\n", + "\u001b[36mothers:\u001b[32m ['A6.1-/Z8']\n", + "\u001b[36min:\u001b[32m ['Z5']\n", + "\u001b[36mthis:\u001b[32m ['M6', 'Z5', 'Z8']\n", + "\u001b[36mcommunity:\u001b[32m ['S5+c']\n", + "\u001b[36meven:\u001b[32m ['A13.1']\n", + "\u001b[36mwhen:\u001b[32m ['Z5']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36modds:\u001b[32m ['A7', 'O2', 'N2%']\n", + "\u001b[36mare:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36magainst:\u001b[32m ['Z5']\n", + "\u001b[36mme:\u001b[32m ['Z8mf']\n", + "\u001b[36m\n", + "\n", + ":\u001b[32m ['Z99']\n", + "\u001b[36msending:\u001b[32m ['M2', 'A2.2']\n", + "\u001b[36mgood:\u001b[32m ['A5.1+', 'G2.2+', 'O4.2+', 'A1.5.2+', 'N3.2+']\n", + "\u001b[36mluck:\u001b[32m ['T1.3']\n", + "\u001b[36mand:\u001b[32m ['T1.3']\n", + "\u001b[36mlove:\u001b[32m ['T1.3']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36myou:\u001b[32m ['Z8mf']\n", + "\u001b[36mall:\u001b[32m ['N5.1+']\n", + "\u001b[36m<3:\u001b[32m ['Z99']\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Output tags text 2\n", + "text2_tags" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "G2AhUFwOlWX3", + "outputId": "4900b168-44cf-49c8-a2c2-3d6480f29dd8" + }, + "execution_count": 13, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "{0: {'Hi': ['Z4'],\n", + " 'all': ['N5.1+'],\n", + " ',': ['PUNCT'],\n", + " '\\n\\n': ['Z99'],\n", + " 'I': ['Z8mf'],\n", + " '’m': ['Z99'],\n", + " '15': ['T3'],\n", + " 'years': ['T3'],\n", + " 'old': ['T3'],\n", + " 'and': ['T1.3'],\n", + " 'i': ['Z8mf'],\n", + " 'was': ['A3+', 'Z5'],\n", + " 'diagnosed': ['B3', 'X2.4'],\n", + " 'with': ['Z5'],\n", + " 'osteosarcoma': ['Z99'],\n", + " 'in': ['Z5'],\n", + " 'May': ['T1.3', 'Z1f'],\n", + " 'of': ['Z5'],\n", + " '2019': ['N1'],\n", + " '.': ['PUNCT'],\n", + " 'did': ['A1.1.1', 'G2.2-', 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'T1.3-', 'N3.3---'],\n", + " 'feels': ['X2.1', 'E1', 'X3'],\n", + " 'unfair': ['G2.2-'],\n", + " 'what': ['Z8', 'Z5'],\n", + " 'future': ['T1.1.3'],\n", + " 'holds': ['M2', 'A1.1.1', 'A9+', 'X2.1', 'S7.1+/A1.7+'],\n", + " 'want': ['X7+', 'S6+', 'A7+', 'S3.2', 'A9-'],\n", + " 'be': ['A3+', 'Z5'],\n", + " 'long': ['T1.3+'],\n", + " 'term': ['T1.3+'],\n", + " 'survivor': ['A3+/S2mf', 'L1+/S2mf'],\n", + " 'badly': ['A5.1-', 'A13.3'],\n", + " 'honestly': ['Z4', 'A5.2+'],\n", + " 'cautious': ['A1.3+', 'E6-'],\n", + " 'optimistic': ['X2.6/A5.1+/S1.2'],\n", + " 'numbers': ['N5', 'N1', 'Q1.3', 'K2', 'Q4.2'],\n", + " 'me': ['Z8mf'],\n", + " 'not': ['Z6'],\n", + " 'sure': ['A7+', 'Z4'],\n", + " 'why': ['A2.2'],\n", + " 'posting': ['Q1.2', 'M2', 'I3.1'],\n", + " 'never': ['T1/Z6'],\n", + " 'posted': ['Q1.2', 'M2', 'I3.1'],\n", + " 'think': ['Z4'],\n", + " 'looking': ['A8', 'X3.4', 'X2.4', 'X7+', 'Z4'],\n", + " 'reasons': ['A2.2', 'X2.1'],\n", + " 'keep': ['A9+', 'N6+', 'T2++', 'A1.7+', 'A2.2', 'F4', 'S8+', 'H4'],\n", + " 'going': ['M1',\n", + " 'A2.1+',\n", + " 'A1.1.1',\n", + " 'A9-',\n", + " 'A1.8+',\n", + " 'Q2.1',\n", + " 'N6+',\n", + " 'I2.2',\n", + " 'A1.1.2',\n", + " 'T2-',\n", + " 'S3.2',\n", + " 'A6.3+',\n", + " 'B2-/X1%',\n", + " 'B1%'],\n", + " 'stay': ['M8', 'T2++', 'H4'],\n", + " 'positive': ['A5.1+', 'A7+', 'N2'],\n", + " 'from': ['Z5'],\n", + " 'others': ['A6.1-/Z8'],\n", + " 'community': ['S5+c'],\n", + " 'even': ['A13.1'],\n", + " 'when': ['Z5'],\n", + " 'odds': ['A7', 'O2', 'N2%'],\n", + " 'are': ['A3+', 'Z5'],\n", + " 'against': ['Z5'],\n", + " 'sending': ['M2', 'A2.2'],\n", + " 'good': ['A5.1+', 'G2.2+', 'O4.2+', 'A1.5.2+', 'N3.2+'],\n", + " 'luck': ['T1.3'],\n", + " 'love': ['T1.3'],\n", + " 'you': ['Z8mf'],\n", + " '<3': ['Z99']}}" + ] + }, + "metadata": {}, + "execution_count": 13 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Input text 3\n", + "text_3 = \"\"\"Mom was diagnosed with stage 4 cancer back in June. She'd been feeling pain for some time but kept it to herself until it was too late. A biopsy later revealed it was breast cancer that had metastasized to her bones. The doctors gave her six months to live without treatment so Mom opted to start treatment right away, but due to poor health insurance, the current Covid epidemic, and the pitfalls of bureaucracy she didn't get into the hospital until over a month later.\n", + "\n", + "Since her health was already deteriorating so fast she basically had lost the ability to walk on her own at this point. There was a tumor on her spine and the doctors said if she didn't have surgery to remove it soon that she would be paralyzed for the remainder of her life. She had a spinal fusion which went well and at this point we were all hopeful and talking about life after moving her back home to live with everyone.\n", + "Since time was of the essence and she and everyone in our family agreed that she wanted to pursue treatment, she was given hormone therapy and her first round of chemo within a week of her surgery. Unfortunately, a few days later she developed pneumonia. Shortly thereafter, she had developed sepsis and a host of other infections and was put on a ventilator. At this point the doctors were already recommending palliative care and taking her off the ventilator to \"die with dignity.\" One by one her organs began to fail her. First her right lung collapsed. Then her kidney started failing.\n", + "\n", + "And finally last night, I watched her die through a phone. For me, the worst part about this was that I couldn't be there for her in person. I live abroad in China, and do to the current epidemic I cannot come back here if I were to leave and go back to the States. I have a wife and family here, so I opted to stay with the hope that she would get better and I could visit next year. Unfortunately, it didn't work out.\n", + "\n", + "She kept her eyes open the whole night until she finally fell asleep. I looked into her eyes and could see that she wasn't ready to go. My family that was with her were doing their best to send her off peacefully, but I got a little frustrated that they just kept offering her platitudes about going in peace, like they were just waiting for her to die, when it was so clear that she didn't want to go yet.\n", + "\n", + "In the aftermath, I'm feeling immense anger and guilt. Anger towards a medical system that I view as having failed her. If she had never opted for treatment and just gotten palliative care, it's likely that she would have had more time and wouldn't have had to spend her last weeks on a ventilator in so much suffering. Anger that we all trusted the doctors and yet she died within weeks of entering the hospital. I'm no doctor, but in hindsight it seems clear that she was too weak to start treatment and needed more time to recover from her surgery and really make an informed decision whether treatment was the best course of action. It feels like the whole situation was so rushed.\n", + "\n", + "And of course, guilt that I wasn't there for her in her greatest time of need. I'm her only son, and when she needed me most I wasn't there for her. We only got to have one conversation while she could still speak, and it was so rushed and hectic. Thanks to China banning all foreigns apps, I could not communicate with her directly even with a VPN and had to rely on my Aunt who had WeChat to video with her. Even though I got to say goodbye and speak with her at the end, it still doesn't feel the same as a real conversation would have. I don't know if I will ever forgive myself for not going back to see her and hug her one last time.\n", + "\n", + "That's all I have to say. I don't have many friends so it helps to get these feelings off my chest anonymously. Having experienced this first hand, I empathize so much more now with everyone here as I've been reading your experiences these last couple months. Cancer is a scourge to mankind and there's no platitudes to ease the pain.\"\"\"" + ], + "metadata": { + "id": "0Kh7iQxONiTL" + }, + "execution_count": 14, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Tagging input text 3\n", + "text3_tags = tag_text(text_3)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "_mnzCOaildxF", + "outputId": "1178d66d-d6e2-4356-a379-89dc8803e083" + }, + "execution_count": 15, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 0: Mom was diagnosed with stage 4 cancer back in June.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mMom:\u001b[32m ['S4/S2.1f']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mdiagnosed:\u001b[32m ['B3', 'X2.4']\n", + "\u001b[36mwith:\u001b[32m ['Z5']\n", + "\u001b[36mstage:\u001b[32m ['T1.2', 'N5.1-', 'H2/K4', 'K4', 'A4.1']\n", + "\u001b[36m4:\u001b[32m ['N1']\n", + "\u001b[36mcancer:\u001b[32m ['B2-']\n", + "\u001b[36mback:\u001b[32m ['M6', 'N6+', 'T1.1.1', 'S1.1.2+']\n", + "\u001b[36min:\u001b[32m ['Z5']\n", + "\u001b[36mJune:\u001b[32m ['T1.3', 'Z1f']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 1: She'd been feeling pain for some time but kept it to herself until it was too late.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mShe:\u001b[32m ['Z8f']\n", + "\u001b[36m'd:\u001b[32m ['A7+']\n", + "\u001b[36mbeen:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mfeeling:\u001b[32m ['X2.1', 'E1', 'X3']\n", + "\u001b[36mpain:\u001b[32m ['B2-', 'E2-', 'E4.1-']\n", + "\u001b[36mfor:\u001b[32m ['T1.3+']\n", + "\u001b[36msome:\u001b[32m ['T1.3+']\n", + "\u001b[36mtime:\u001b[32m ['T1.3+']\n", + "\u001b[36mbut:\u001b[32m ['Z5']\n", + "\u001b[36mkept:\u001b[32m ['S1.2.3-']\n", + "\u001b[36mit:\u001b[32m ['S1.2.3-']\n", + "\u001b[36mto:\u001b[32m ['S1.2.3-']\n", + "\u001b[36mherself:\u001b[32m ['S1.2.3-']\n", + "\u001b[36muntil:\u001b[32m ['Z5']\n", + "\u001b[36mit:\u001b[32m ['Z8']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mtoo:\u001b[32m ['N5++', 'N5.2+', 'A13.3']\n", + "\u001b[36mlate:\u001b[32m ['T4-', 'L1-', 'T1.1']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 2: A biopsy later revealed it was breast cancer that had metastasized to her bones.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mA:\u001b[32m ['Z5']\n", + "\u001b[36mbiopsy:\u001b[32m ['B3']\n", + "\u001b[36mlater:\u001b[32m ['T4--', 'T1.1.3', 'N4']\n", + "\u001b[36mrevealed:\u001b[32m ['A5.4+']\n", + "\u001b[36mit:\u001b[32m ['A5.4+']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mbreast:\u001b[32m ['B2-']\n", + "\u001b[36mcancer:\u001b[32m ['B2-']\n", + "\u001b[36mthat:\u001b[32m ['A13.3', 'A6.1+']\n", + "\u001b[36mhad:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mmetastasized:\u001b[32m ['Z99']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36mbones:\u001b[32m ['B1']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 3: The doctors gave her six months to live without treatment so Mom opted to start treatment right away, but due to poor health insurance, the current Covid epidemic, and the pitfalls of bureaucracy she didn't get into the hospital until over a month later.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mThe:\u001b[32m ['Z5']\n", + "\u001b[36mdoctors:\u001b[32m ['B3/I3.2/S2mf', 'P1/S2mf']\n", + "\u001b[36mgave:\u001b[32m ['A5.4+']\n", + "\u001b[36mher:\u001b[32m ['A5.4+']\n", + "\u001b[36msix:\u001b[32m ['N1', 'T3', 'T1.2']\n", + "\u001b[36mmonths:\u001b[32m ['T1.3']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mlive:\u001b[32m ['H4', 'L1+', 'A3']\n", + "\u001b[36mwithout:\u001b[32m ['Z5']\n", + "\u001b[36mtreatment:\u001b[32m ['B3', 'S1.1.1', 'A1.1.1', 'X4.2']\n", + "\u001b[36mso:\u001b[32m ['Z5', 'A13.3']\n", + "\u001b[36mMom:\u001b[32m ['S4/S2.1f']\n", + "\u001b[36mopted:\u001b[32m ['X7+']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mstart:\u001b[32m ['T2+', 'E5-', 'E3-']\n", + "\u001b[36mtreatment:\u001b[32m ['B3', 'S1.1.1', 'A1.1.1', 'X4.2']\n", + "\u001b[36mright:\u001b[32m ['N3.8+']\n", + "\u001b[36maway:\u001b[32m ['N3.8+']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mbut:\u001b[32m ['Z5']\n", + "\u001b[36mdue:\u001b[32m ['A2.2']\n", + "\u001b[36mto:\u001b[32m ['A2.2']\n", + "\u001b[36mpoor:\u001b[32m ['I1.1-', 'A5.1-', 'N5-', 'E4.1-', 'X9.1-']\n", + "\u001b[36mhealth:\u001b[32m ['B2', 'X9.2']\n", + "\u001b[36minsurance:\u001b[32m ['I1/A15-']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mcurrent:\u001b[32m ['T1.1.2']\n", + "\u001b[36mCovid:\u001b[32m ['Z99']\n", + "\u001b[36mepidemic:\u001b[32m ['B2-/S5+', 'N5+']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mpitfalls:\u001b[32m ['A15-']\n", + "\u001b[36mof:\u001b[32m ['Z5']\n", + "\u001b[36mbureaucracy:\u001b[32m ['G1.1', 'S8-']\n", + "\u001b[36mshe:\u001b[32m ['Z8f']\n", + "\u001b[36mdid:\u001b[32m ['A1.1.1', 'G2.2-', 'X9.2+', 'E3-', 'G2.1%', 'Z5']\n", + "\u001b[36mn't:\u001b[32m ['Z6']\n", + "\u001b[36mget:\u001b[32m ['A9+', 'Z5', 'X9.2+', 'A2.1+', 'A2.2', 'M1', 'M2', 'X2.5+', 'E4.1-']\n", + "\u001b[36minto:\u001b[32m ['Z5']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mhospital:\u001b[32m ['B3/H1c']\n", + "\u001b[36muntil:\u001b[32m ['Z5']\n", + "\u001b[36mover:\u001b[32m ['Z5']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mmonth:\u001b[32m ['T1.3']\n", + "\u001b[36mlater:\u001b[32m ['T4--', 'T1.1.3', 'N4']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 4: Since her health was already deteriorating so fast she basically had lost the ability to walk on her own at this point.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mSince:\u001b[32m ['Z5']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36mhealth:\u001b[32m ['B2', 'X9.2']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36malready:\u001b[32m ['T1.1.1']\n", + "\u001b[36mdeteriorating:\u001b[32m ['A5.1-/A2.1']\n", + "\u001b[36mso:\u001b[32m ['Z5', 'A13.3']\n", + "\u001b[36mfast:\u001b[32m ['N3.8+']\n", + "\u001b[36mshe:\u001b[32m ['Z8f']\n", + "\u001b[36mbasically:\u001b[32m ['Z4', 'A13.2']\n", + "\u001b[36mhad:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mlost:\u001b[32m ['X9.2-', 'A9-', 'M6/A5.3-', 'L1-']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mability:\u001b[32m ['X9.1+']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mwalk:\u001b[32m ['M1', 'L2', 'X9.2+/A12+']\n", + "\u001b[36mon:\u001b[32m ['Z5']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36mown:\u001b[32m ['A9+', 'S5-']\n", + "\u001b[36mat:\u001b[32m ['T1.1.2']\n", + "\u001b[36mthis:\u001b[32m ['T1.1.2']\n", + "\u001b[36mpoint:\u001b[32m ['T1.1.2']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 5: There was a tumor on her spine and the doctors said if she didn't have surgery to remove it soon that she would be paralyzed for the remainder of her life.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mThere:\u001b[32m ['Z5']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mtumor:\u001b[32m ['Z99']\n", + "\u001b[36mon:\u001b[32m ['Z5']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36mspine:\u001b[32m ['B1', 'H1', 'Q4.1', 'N3.1']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mdoctors:\u001b[32m ['B3/I3.2/S2mf', 'P1/S2mf']\n", + "\u001b[36msaid:\u001b[32m ['Q2.1']\n", + "\u001b[36mif:\u001b[32m ['Z7']\n", + "\u001b[36mshe:\u001b[32m ['Z8f']\n", + "\u001b[36mdid:\u001b[32m ['A1.1.1', 'G2.2-', 'X9.2+', 'E3-', 'G2.1%', 'Z5']\n", + "\u001b[36mn't:\u001b[32m ['Z6']\n", + "\u001b[36mhave:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36msurgery:\u001b[32m ['B3', 'B3/H1', 'B3/H2', 'S8+/T1.3']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mremove:\u001b[32m ['A5.4+']\n", + "\u001b[36mit:\u001b[32m ['A5.4+']\n", + "\u001b[36msoon:\u001b[32m ['T1.1.3/N3.8+']\n", + "\u001b[36mthat:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36mshe:\u001b[32m ['Z8f']\n", + "\u001b[36mwould:\u001b[32m ['A7+']\n", + "\u001b[36mbe:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mparalyzed:\u001b[32m ['Z99']\n", + "\u001b[36mfor:\u001b[32m ['Z5']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mremainder:\u001b[32m ['N5.2+c']\n", + "\u001b[36mof:\u001b[32m ['Z5']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36mlife:\u001b[32m ['L1+', 'A3+', 'T1.3', 'S1.1.1', 'A1.1.1', 'X5.2+', 'Q4.1', 'A11.1+++', 'A5.4+/C1']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 6: She had a spinal fusion which went well and at this point we were all hopeful and talking about life after moving her back home to live with everyone.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mShe:\u001b[32m ['Z8f']\n", + "\u001b[36mhad:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mspinal:\u001b[32m ['B1']\n", + "\u001b[36mfusion:\u001b[32m ['A1.8+', 'Y1']\n", + "\u001b[36mwhich:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36mwent:\u001b[32m ['M1', 'A2.1+', 'A1.1.1', 'A9-', 'A1.8+', 'Q2.1', 'N6+', 'I2.2', 'A1.1.2', 'T2-', 'S3.2', 'A6.3+', 'B2-/X1%', 'B1%']\n", + "\u001b[36mwell:\u001b[32m ['A5.1+', 'A13.3', 'A7+', 'B2+', 'Z4']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mat:\u001b[32m ['T1.1.2']\n", + "\u001b[36mthis:\u001b[32m ['T1.1.2']\n", + "\u001b[36mpoint:\u001b[32m ['T1.1.2']\n", + "\u001b[36mwe:\u001b[32m ['Z8']\n", + "\u001b[36mwere:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mall:\u001b[32m ['A13.2']\n", + "\u001b[36mhopeful:\u001b[32m ['X2.6+', 'E4.1+', 'X9.2+', 'A5.1+']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mtalking:\u001b[32m ['Q2.1']\n", + "\u001b[36mabout:\u001b[32m ['Z5']\n", + "\u001b[36mlife:\u001b[32m ['L1+', 'A3+', 'T1.3', 'S1.1.1', 'A1.1.1', 'X5.2+', 'Q4.1', 'A11.1+++', 'A5.4+/C1']\n", + "\u001b[36mafter:\u001b[32m ['Z5']\n", + "\u001b[36mmoving:\u001b[32m ['A5.4+']\n", + "\u001b[36mher:\u001b[32m ['A5.4+']\n", + "\u001b[36mback:\u001b[32m ['M6', 'N6+', 'T1.1.1', 'S1.1.2+']\n", + "\u001b[36mhome:\u001b[32m ['H4', 'M6']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mlive:\u001b[32m ['H4']\n", + "\u001b[36mwith:\u001b[32m ['H4']\n", + "\u001b[36meveryone:\u001b[32m ['Z8/N5.1+c']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 7: Since time was of the essence and she and everyone in our family agreed that she wanted to pursue treatment, she was given hormone therapy and her first round of chemo within a week of her surgery.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mSince:\u001b[32m ['Z5']\n", + "\u001b[36mtime:\u001b[32m ['T1', 'T1.2', 'T1.3', 'T1.1.2', 'N6', 'N1', 'K2', 'G2.1@']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mof:\u001b[32m ['Z5']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36messence:\u001b[32m ['A11.1+', 'O1']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mshe:\u001b[32m ['Z8f']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36meveryone:\u001b[32m ['Z8/N5.1+c']\n", + "\u001b[36min:\u001b[32m ['Z5']\n", + "\u001b[36mour:\u001b[32m ['Z8']\n", + "\u001b[36mfamily:\u001b[32m ['S4c', 'A4.1c']\n", + "\u001b[36magreed:\u001b[32m ['A6.1+', 'Q2.2']\n", + "\u001b[36mthat:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36mshe:\u001b[32m ['Z8f']\n", + "\u001b[36mwanted:\u001b[32m ['X7+', 'S6+', 'A7+', 'G2.1-', 'S3.2', 'A9-']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mpursue:\u001b[32m ['A1.1.1', 'X8+', 'X2.4', 'M1']\n", + "\u001b[36mtreatment:\u001b[32m ['B3', 'S1.1.1', 'A1.1.1', 'X4.2']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mshe:\u001b[32m ['Z8f']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mgiven:\u001b[32m ['A9-', 'A1.1.1']\n", + "\u001b[36mhormone:\u001b[32m ['B1']\n", + "\u001b[36mtherapy:\u001b[32m ['B3']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36mfirst:\u001b[32m ['N4']\n", + "\u001b[36mround:\u001b[32m ['N5', 'K5.1', 'M1', 'F2', 'B3', 'F1', 'K2%', 'G3%']\n", + "\u001b[36mof:\u001b[32m ['Z5']\n", + "\u001b[36mchemo:\u001b[32m ['B3']\n", + "\u001b[36mwithin:\u001b[32m ['Z5']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mweek:\u001b[32m ['T1.3']\n", + "\u001b[36mof:\u001b[32m ['Z5']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36msurgery:\u001b[32m ['B3', 'B3/H1', 'B3/H2', 'S8+/T1.3']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 8: Unfortunately, a few days later she developed pneumonia.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mUnfortunately:\u001b[32m ['A1.4-', 'A5.1-', 'E4.1-']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mfew:\u001b[32m ['N5-']\n", + "\u001b[36mdays:\u001b[32m ['T1.3']\n", + "\u001b[36mlater:\u001b[32m ['T4--', 'T1.1.3', 'N4']\n", + "\u001b[36mshe:\u001b[32m ['Z8f']\n", + "\u001b[36mdeveloped:\u001b[32m ['A2.1+', 'T2+', 'A5.1+/A2.1', 'N3.2+/A2.1', 'H1', 'A9+', 'C1']\n", + "\u001b[36mpneumonia:\u001b[32m ['B2-']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 9: Shortly thereafter, she had developed sepsis and a host of other infections and was put on a ventilator.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mShortly:\u001b[32m ['N3.8+']\n", + "\u001b[36mthereafter:\u001b[32m ['N4']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mshe:\u001b[32m ['Z8f']\n", + "\u001b[36mhad:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mdeveloped:\u001b[32m ['A2.1+', 'T2+', 'A5.1+/A2.1', 'N3.2+/A2.1', 'H1', 'A9+', 'C1']\n", + "\u001b[36msepsis:\u001b[32m ['Z99']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mhost:\u001b[32m ['S2mf', 'B1@', 'Y2@', 'S9%']\n", + "\u001b[36mof:\u001b[32m ['Z5']\n", + "\u001b[36mother:\u001b[32m ['A6.1-']\n", + "\u001b[36minfections:\u001b[32m ['B2-']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mput:\u001b[32m ['M2', 'Q2.1', 'Q2.2', 'A1.1.1']\n", + "\u001b[36mon:\u001b[32m ['Z5']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mventilator:\u001b[32m ['B3', 'O2']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 10: At this point the doctors were already recommending palliative care and taking her off the ventilator to \"die with dignity.\"\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mAt:\u001b[32m ['T1.1.2']\n", + "\u001b[36mthis:\u001b[32m ['T1.1.2']\n", + "\u001b[36mpoint:\u001b[32m ['T1.1.2']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mdoctors:\u001b[32m ['B3/I3.2/S2mf', 'P1/S2mf']\n", + "\u001b[36mwere:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36malready:\u001b[32m ['T1.1.1']\n", + "\u001b[36mrecommending:\u001b[32m ['Q2.2']\n", + "\u001b[36mpalliative:\u001b[32m ['B3', 'S8+']\n", + "\u001b[36mcare:\u001b[32m ['S8+', 'G1.1/S8+', 'B3', 'A1.3', 'E6-']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mtaking:\u001b[32m ['A5.4+']\n", + "\u001b[36mher:\u001b[32m ['A5.4+']\n", + "\u001b[36moff:\u001b[32m ['Z5', 'E2-']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mventilator:\u001b[32m ['B3', 'O2']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36m\":\u001b[32m ['PUNCT']\n", + "\u001b[36mdie:\u001b[32m ['L1-', 'T2-']\n", + "\u001b[36mwith:\u001b[32m ['Z5']\n", + "\u001b[36mdignity:\u001b[32m ['S7.2+']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[36m\":\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 11: One by one her organs began to fail her.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mOne:\u001b[32m ['N5-']\n", + "\u001b[36mby:\u001b[32m ['N5-']\n", + "\u001b[36mone:\u001b[32m ['N5-']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36morgans:\u001b[32m ['B1', 'K2', 'Q4.2']\n", + "\u001b[36mbegan:\u001b[32m ['T2+']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mfail:\u001b[32m ['A5.4+']\n", + "\u001b[36mher:\u001b[32m ['A5.4+']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 12: First her right lung collapsed.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mFirst:\u001b[32m ['N4', 'P1@']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36mright:\u001b[32m ['A5.3+', 'A4.2+', 'A1.2+', 'G2.2+', 'M6', 'N3.2+', 'A13.3', 'A13.2']\n", + "\u001b[36mlung:\u001b[32m ['B1']\n", + "\u001b[36mcollapsed:\u001b[32m ['A1.1.2', 'B2-', 'N3.2-/A2.1']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 13: Then her kidney started failing.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mThen:\u001b[32m ['N4', 'Z5', 'T1.2']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36mkidney:\u001b[32m ['B1', 'F1']\n", + "\u001b[36mstarted:\u001b[32m ['T2+', 'E5-', 'E3-']\n", + "\u001b[36mfailing:\u001b[32m ['X9.2-', 'A5.1-/A2.1']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 14: And finally last night, I watched her die through a phone.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mAnd:\u001b[32m ['Z5']\n", + "\u001b[36mfinally:\u001b[32m ['N4']\n", + "\u001b[36mlast:\u001b[32m ['T1.1.1']\n", + "\u001b[36mnight:\u001b[32m ['T1.1.1']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mwatched:\u001b[32m ['A5.4+']\n", + "\u001b[36mher:\u001b[32m ['A5.4+']\n", + "\u001b[36mdie:\u001b[32m ['L1-', 'T2-']\n", + "\u001b[36mthrough:\u001b[32m ['Z5']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mphone:\u001b[32m ['Q1.3']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 15: For me, the worst part about this was that I couldn't be there for her in person.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mFor:\u001b[32m ['Z5']\n", + "\u001b[36mme:\u001b[32m ['Z8mf']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mworst:\u001b[32m ['A5.1---']\n", + "\u001b[36mpart:\u001b[32m ['N5.1-', 'O2', 'M7', 'I3.1', 'S1.1.3+', 'K4']\n", + "\u001b[36mabout:\u001b[32m ['Z5']\n", + "\u001b[36mthis:\u001b[32m ['M6', 'Z5', 'Z8']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mthat:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mcould:\u001b[32m ['A7+']\n", + "\u001b[36mn't:\u001b[32m ['Z6']\n", + "\u001b[36mbe:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mthere:\u001b[32m ['M6', 'T1.2']\n", + "\u001b[36mfor:\u001b[32m ['Z5']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36min:\u001b[32m ['Z5']\n", + "\u001b[36mperson:\u001b[32m ['S2mfc']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 16: I live abroad in China, and do to the current epidemic I cannot come back here if I were to leave and go back to the States.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mlive:\u001b[32m ['H4', 'L1+', 'A3']\n", + "\u001b[36mabroad:\u001b[32m ['M7']\n", + "\u001b[36min:\u001b[32m ['Z5']\n", + "\u001b[36mChina:\u001b[32m ['Z2']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mdo:\u001b[32m ['S1.1.3+', 'A1.1.1']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mcurrent:\u001b[32m ['T1.1.2']\n", + "\u001b[36mepidemic:\u001b[32m ['B2-/S5+', 'N5+']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mcan:\u001b[32m ['A7+']\n", + "\u001b[36mnot:\u001b[32m ['Z6']\n", + "\u001b[36mcome:\u001b[32m ['M6']\n", + "\u001b[36mback:\u001b[32m ['M6']\n", + "\u001b[36mhere:\u001b[32m ['M6', 'T1.1.2', 'T1.2']\n", + "\u001b[36mif:\u001b[32m ['Z7']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mwere:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mleave:\u001b[32m ['M1', 'M2', 'A1.1.1', 'A1.9', 'A9-', 'T2-']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mgo:\u001b[32m ['M6']\n", + "\u001b[36mback:\u001b[32m ['M6']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mStates:\u001b[32m ['Z2']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 17: I have a wife and family here, so I opted to stay with the hope that she would get better and I could visit next year.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mhave:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mwife:\u001b[32m ['T1.3']\n", + "\u001b[36mand:\u001b[32m ['T1.3']\n", + "\u001b[36mfamily:\u001b[32m ['T1.3']\n", + "\u001b[36mhere:\u001b[32m ['M6', 'T1.1.2', 'T1.2']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mso:\u001b[32m ['Z5', 'A13.3']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mopted:\u001b[32m ['X7+']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mstay:\u001b[32m ['M8', 'T2++', 'H4']\n", + "\u001b[36mwith:\u001b[32m ['Z5']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mhope:\u001b[32m ['X2.6+', 'E4.1+', 'X9.2+', 'A5.1+']\n", + "\u001b[36mthat:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36mshe:\u001b[32m ['Z8f']\n", + "\u001b[36mwould:\u001b[32m ['A7+']\n", + "\u001b[36mget:\u001b[32m ['A9+', 'Z5', 'X9.2+', 'A2.1+', 'A2.2', 'M1', 'M2', 'X2.5+', 'E4.1-']\n", + "\u001b[36mbetter:\u001b[32m ['A5.1++', 'G2.2++', 'O4.2++']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mcould:\u001b[32m ['A7+']\n", + "\u001b[36mvisit:\u001b[32m ['S1.1.1', 'M1']\n", + "\u001b[36mnext:\u001b[32m ['T1.3', 'P1/S2mf']\n", + "\u001b[36myear:\u001b[32m ['T1.3', 'P1/S2mf']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 18: Unfortunately, it didn't work out.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mUnfortunately:\u001b[32m ['A1.4-', 'A5.1-', 'E4.1-']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mit:\u001b[32m ['Z8']\n", + "\u001b[36mdid:\u001b[32m ['A1.1.1', 'G2.2-', 'X9.2+', 'E3-', 'G2.1%', 'Z5']\n", + "\u001b[36mn't:\u001b[32m ['Z6']\n", + "\u001b[36mwork:\u001b[32m ['I3.1', 'A1.1.1', 'X9.2+', 'A2.1+', 'A2.2']\n", + "\u001b[36mout:\u001b[32m ['Z5']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 19: She kept her eyes open the whole night until she finally fell asleep.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mShe:\u001b[32m ['Z8f']\n", + "\u001b[36mkept:\u001b[32m ['A5.4+']\n", + "\u001b[36mher:\u001b[32m ['A5.4+']\n", + "\u001b[36meyes:\u001b[32m ['B1', 'X3.4']\n", + "\u001b[36mopen:\u001b[32m ['A10+', 'T2+']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mwhole:\u001b[32m ['N5.1+']\n", + "\u001b[36mnight:\u001b[32m ['T1.3']\n", + "\u001b[36muntil:\u001b[32m ['Z5']\n", + "\u001b[36mshe:\u001b[32m ['Z8f']\n", + "\u001b[36mfinally:\u001b[32m ['N4']\n", + "\u001b[36mfell:\u001b[32m ['M1', 'N5-/A2.1', 'S7.1-', 'L1-', 'A1.8+', 'G2.2-', 'X9.2-', 'K5.2', 'A1.1.1']\n", + "\u001b[36masleep:\u001b[32m ['B1']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 20: I looked into her eyes and could see that she wasn't ready to go.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mlooked:\u001b[32m ['A8', 'X3.4', 'X2.4', 'X7+']\n", + "\u001b[36minto:\u001b[32m ['Z5']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36meyes:\u001b[32m ['B1', 'X3.4']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mcould:\u001b[32m ['A7+']\n", + "\u001b[36msee:\u001b[32m ['X3.4', 'X2.1', 'S1.1.1', 'X2.5+', 'X2.3+', 'X3', 'A7+', 'Z4', 'S3.2']\n", + "\u001b[36mthat:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36mshe:\u001b[32m ['Z8f']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mn't:\u001b[32m ['Z6']\n", + "\u001b[36mready:\u001b[32m ['O4.1', 'A1.2+', 'X7+', 'T2+', 'A9+/A12+', 'X9.1+']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mgo:\u001b[32m ['M1', 'A2.1+', 'A1.1.1', 'A9-', 'A1.8+', 'Q2.1', 'N6+', 'I2.2', 'A1.1.2', 'T2-', 'S3.2', 'A6.3+', 'B2-/X1%', 'B1%']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 21: My family that was with her were doing their best to send her off peacefully, but I got a little frustrated that they just kept offering her platitudes about going in peace, like they were just waiting for her to die, when it was so clear that she didn't want to go yet.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mMy:\u001b[32m ['Z8']\n", + "\u001b[36mfamily:\u001b[32m ['S4c', 'A4.1c']\n", + "\u001b[36mthat:\u001b[32m ['A13.3', 'A6.1+']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mwith:\u001b[32m ['Z5']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36mwere:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mdoing:\u001b[32m ['A5.4+']\n", + "\u001b[36mtheir:\u001b[32m ['A5.4+']\n", + "\u001b[36mbest:\u001b[32m ['A5.1+++', 'G2.2+++', 'O4.2+++']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36msend:\u001b[32m ['A5.4+']\n", + "\u001b[36mher:\u001b[32m ['A5.4+']\n", + "\u001b[36moff:\u001b[32m ['Z5', 'E2-']\n", + "\u001b[36mpeacefully:\u001b[32m ['E3+']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mbut:\u001b[32m ['Z5']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mgot:\u001b[32m ['A9+', 'Z5', 'X9.2+', 'A2.1+', 'A2.2', 'M1', 'M2', 'X2.5+', 'E4.1-']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mlittle:\u001b[32m ['N3.2-', 'T3-', 'N3.7-', 'N3.3-', 'T1.3-', 'A11.1-']\n", + "\u001b[36mfrustrated:\u001b[32m ['E4.2-']\n", + "\u001b[36mthat:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36mthey:\u001b[32m ['Z8mfn']\n", + "\u001b[36mjust:\u001b[32m ['A14', 'T3---', 'T1.3-', 'N3.3---']\n", + "\u001b[36mkept:\u001b[32m ['A9+', 'N6+', 'T2++', 'A1.7+', 'A2.2', 'F4', 'S8+', 'H4']\n", + "\u001b[36moffering:\u001b[32m ['A5.4+']\n", + "\u001b[36mher:\u001b[32m ['A5.4+']\n", + "\u001b[36mplatitudes:\u001b[32m ['A6.2+++']\n", + "\u001b[36mabout:\u001b[32m ['Z5']\n", + "\u001b[36mgoing:\u001b[32m ['M1', 'A2.1+', 'A1.1.1', 'A9-', 'A1.8+', 'Q2.1', 'N6+', 'I2.2', 'A1.1.2', 'T2-', 'S3.2', 'A6.3+', 'B2-/X1%', 'B1%']\n", + "\u001b[36min:\u001b[32m ['Z5']\n", + "\u001b[36mpeace:\u001b[32m ['E3+']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mlike:\u001b[32m ['Z5']\n", + "\u001b[36mthey:\u001b[32m ['Z8mfn']\n", + "\u001b[36mwere:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mjust:\u001b[32m ['A14', 'T3---', 'T1.3-', 'N3.3---']\n", + "\u001b[36mwaiting:\u001b[32m ['T1.3', 'A3+', 'A11.1+', 'S1.1.1%']\n", + "\u001b[36mfor:\u001b[32m ['Z5']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mdie:\u001b[32m ['L1-', 'T2-']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mwhen:\u001b[32m ['Z5']\n", + "\u001b[36mit:\u001b[32m ['Z8']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mso:\u001b[32m ['Z5', 'A13.3']\n", + "\u001b[36mclear:\u001b[32m ['A7+', 'A10+', 'O4.3', 'O4.1', 'N5.1+', 'W4']\n", + "\u001b[36mthat:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36mshe:\u001b[32m ['Z8f']\n", + "\u001b[36mdid:\u001b[32m ['A1.1.1', 'G2.2-', 'X9.2+', 'E3-', 'G2.1%', 'Z5']\n", + "\u001b[36mn't:\u001b[32m ['Z6']\n", + "\u001b[36mwant:\u001b[32m ['X7+', 'S6+', 'A7+', 'S3.2', 'A9-']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mgo:\u001b[32m ['M1', 'A2.1+', 'A1.1.1', 'A9-', 'A1.8+', 'Q2.1', 'N6+', 'I2.2', 'A1.1.2', 'T2-', 'S3.2', 'A6.3+', 'B2-/X1%', 'B1%']\n", + "\u001b[36myet:\u001b[32m ['T1.1.2']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 22: In the aftermath, I'm feeling immense anger and guilt.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mIn:\u001b[32m ['Z5']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36maftermath:\u001b[32m ['N4']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36m'm:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mfeeling:\u001b[32m ['X2.1', 'E1', 'X3']\n", + "\u001b[36mimmense:\u001b[32m ['N3.2++']\n", + "\u001b[36manger:\u001b[32m ['T1.3']\n", + "\u001b[36mand:\u001b[32m ['T1.3']\n", + "\u001b[36mguilt:\u001b[32m ['T1.3']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 23: Anger towards a medical system that I view as having failed her.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mAnger:\u001b[32m ['E3-']\n", + "\u001b[36mtowards:\u001b[32m ['Z5']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mmedical:\u001b[32m ['B3']\n", + "\u001b[36msystem:\u001b[32m ['X4.2', 'O3', 'M3', 'M4', 'Q1.3', 'Y2', 'B1', 'N2', 'G1.1c']\n", + "\u001b[36mthat:\u001b[32m ['A13.3', 'A6.1+']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mview:\u001b[32m ['X2.1', 'X3.4', 'X2.4']\n", + "\u001b[36mas:\u001b[32m ['Z5']\n", + "\u001b[36mhaving:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mfailed:\u001b[32m ['A5.4+']\n", + "\u001b[36mher:\u001b[32m ['A5.4+']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 24: If she had never opted for treatment and just gotten palliative care, it's likely that she would have had more time and wouldn't have had to spend her last weeks on a ventilator in so much suffering.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mIf:\u001b[32m ['Z7']\n", + "\u001b[36mshe:\u001b[32m ['Z8f']\n", + "\u001b[36mhad:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mnever:\u001b[32m ['T1/Z6']\n", + "\u001b[36mopted:\u001b[32m ['X7+']\n", + "\u001b[36mfor:\u001b[32m ['Z5']\n", + "\u001b[36mtreatment:\u001b[32m ['B3', 'S1.1.1', 'A1.1.1', 'X4.2']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mjust:\u001b[32m ['A14', 'T3---', 'T1.3-', 'N3.3---']\n", + "\u001b[36mgotten:\u001b[32m ['A9+', 'Z5', 'X9.2+', 'A2.1+', 'A2.2', 'M1', 'M2']\n", + "\u001b[36mpalliative:\u001b[32m ['B3', 'S8+']\n", + "\u001b[36mcare:\u001b[32m ['S8+', 'G1.1/S8+', 'B3', 'A1.3', 'E6-']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mit:\u001b[32m ['Z8']\n", + "\u001b[36m's:\u001b[32m ['A9+', 'A3+', 'A2.2', 'Z5']\n", + "\u001b[36mlikely:\u001b[32m ['A7+', 'A1.2+']\n", + "\u001b[36mthat:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36mshe:\u001b[32m ['Z8f']\n", + "\u001b[36mwould:\u001b[32m ['A7+']\n", + "\u001b[36mhave:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mhad:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mmore:\u001b[32m ['A13.3', 'N6++']\n", + "\u001b[36mtime:\u001b[32m ['T1', 'T1.2', 'T1.3', 'T1.1.2', 'N6', 'N1', 'K2', 'G2.1@']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mwould:\u001b[32m ['A7+']\n", + "\u001b[36mn't:\u001b[32m ['Z6']\n", + "\u001b[36mhave:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mhad:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mspend:\u001b[32m ['A5.4+']\n", + "\u001b[36mher:\u001b[32m ['A5.4+']\n", + "\u001b[36mlast:\u001b[32m ['T1.1.1']\n", + "\u001b[36mweeks:\u001b[32m ['T1.1.1']\n", + "\u001b[36mon:\u001b[32m ['Z5']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mventilator:\u001b[32m ['B3', 'O2']\n", + "\u001b[36min:\u001b[32m ['Z5']\n", + "\u001b[36mso:\u001b[32m ['Z5', 'A13.3']\n", + "\u001b[36mmuch:\u001b[32m ['N5+', 'I1.3+']\n", + "\u001b[36msuffering:\u001b[32m ['E4.1-', 'B2-', 'X3', 'A5.1-/A2.1', 'S7.4+']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 25: Anger that we all trusted the doctors and yet she died within weeks of entering the hospital.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mAnger:\u001b[32m ['E3-']\n", + "\u001b[36mthat:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36mwe:\u001b[32m ['Z8']\n", + "\u001b[36mall:\u001b[32m ['N5.1+']\n", + "\u001b[36mtrusted:\u001b[32m ['X2.1', 'A9-', 'E6+', 'X2.6']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mdoctors:\u001b[32m ['B3/I3.2/S2mf', 'P1/S2mf']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36myet:\u001b[32m ['T1.1.2']\n", + "\u001b[36mshe:\u001b[32m ['Z8f']\n", + "\u001b[36mdied:\u001b[32m ['L1-', 'T2-']\n", + "\u001b[36mwithin:\u001b[32m ['Z5']\n", + "\u001b[36mweeks:\u001b[32m ['T1.3']\n", + "\u001b[36mof:\u001b[32m ['Z5']\n", + "\u001b[36mentering:\u001b[32m ['M1', 'S5+', 'Q1.2', 'T2+', 'A1.8+']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mhospital:\u001b[32m ['B3/H1c']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 26: I'm no doctor, but in hindsight it seems clear that she was too weak to start treatment and needed more time to recover from her surgery and really make an informed decision whether treatment was the best course of action.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36m'm:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mno:\u001b[32m ['Z6']\n", + "\u001b[36mdoctor:\u001b[32m ['B3/I3.2/S2mf', 'P1/S2mf']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mbut:\u001b[32m ['Z5']\n", + "\u001b[36min:\u001b[32m ['Z5']\n", + "\u001b[36mhindsight:\u001b[32m ['X2.5+/T4-']\n", + "\u001b[36mit:\u001b[32m ['Z8']\n", + "\u001b[36mseems:\u001b[32m ['A8']\n", + "\u001b[36mclear:\u001b[32m ['A7+', 'A10+', 'O4.3', 'O4.1', 'N5.1+', 'W4']\n", + "\u001b[36mthat:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36mshe:\u001b[32m ['Z8f']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mtoo:\u001b[32m ['N5++', 'N5.2+', 'A13.3']\n", + "\u001b[36mweak:\u001b[32m ['S1.2.5-', 'O4.1', 'S7.1-', 'A5.1-']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mstart:\u001b[32m ['T2+', 'E5-', 'E3-']\n", + "\u001b[36mtreatment:\u001b[32m ['B3', 'S1.1.1', 'A1.1.1', 'X4.2']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mneeded:\u001b[32m ['S6+']\n", + "\u001b[36mmore:\u001b[32m ['A13.3', 'N6++']\n", + "\u001b[36mtime:\u001b[32m ['T1', 'T1.2', 'T1.3', 'T1.1.2', 'N6', 'N1', 'K2', 'G2.1@']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mrecover:\u001b[32m ['B2+', 'A5.1+/A2.1', 'A9+']\n", + "\u001b[36mfrom:\u001b[32m ['Z5']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36msurgery:\u001b[32m ['B3', 'B3/H1', 'B3/H2', 'S8+/T1.3']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mreally:\u001b[32m ['A13.3', 'A5.2+']\n", + "\u001b[36mmake:\u001b[32m ['A1.1.1', 'A9+', 'A2.2', 'S6+', 'A3+', 'A9-', 'X9.2+', 'X6+']\n", + "\u001b[36man:\u001b[32m ['Z5']\n", + "\u001b[36minformed:\u001b[32m ['X2.2+', 'X2.4', 'Q2.1']\n", + "\u001b[36mdecision:\u001b[32m ['X6+']\n", + "\u001b[36mwhether:\u001b[32m ['Z5']\n", + "\u001b[36mtreatment:\u001b[32m ['B3', 'S1.1.1', 'A1.1.1', 'X4.2']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mbest:\u001b[32m ['A5.1+++', 'G2.2+++', 'O4.2+++']\n", + "\u001b[36mcourse:\u001b[32m ['M6', 'X7+', 'P1', 'B3', 'F1', 'M7/K5.1', 'T1.3']\n", + "\u001b[36mof:\u001b[32m ['Z5']\n", + "\u001b[36maction:\u001b[32m ['A1.1.1', 'G3']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 27: It feels like the whole situation was so rushed.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mIt:\u001b[32m ['Z8']\n", + "\u001b[36mfeels:\u001b[32m ['X7+']\n", + "\u001b[36mlike:\u001b[32m ['X7+']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mwhole:\u001b[32m ['N5.1+']\n", + "\u001b[36msituation:\u001b[32m ['A3+', 'O4.1', 'M6', 'I3.1@']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mso:\u001b[32m ['Z5', 'A13.3']\n", + "\u001b[36mrushed:\u001b[32m ['N3.8+', 'M1/N3.8+', 'M2/N3.8+']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 28: And of course, guilt that I wasn't there for her in her greatest time of need.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mAnd:\u001b[32m ['Z5']\n", + "\u001b[36mof:\u001b[32m ['Z5']\n", + "\u001b[36mcourse:\u001b[32m ['M6', 'X7+', 'P1', 'B3', 'F1', 'M7/K5.1', 'T1.3']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mguilt:\u001b[32m ['G2.2-', 'G2.1-']\n", + "\u001b[36mthat:\u001b[32m ['A13.3', 'A6.1+']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mn't:\u001b[32m ['Z6']\n", + "\u001b[36mthere:\u001b[32m ['M6', 'T1.2']\n", + "\u001b[36mfor:\u001b[32m ['Z5']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36min:\u001b[32m ['Z5']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36mgreatest:\u001b[32m ['A5.1+++', 'A11.1+++', 'N3.2+++', 'N5+++', 'X5.2+++']\n", + "\u001b[36mtime:\u001b[32m ['T1', 'T1.2', 'T1.3', 'T1.1.2', 'N6', 'N1', 'K2', 'G2.1@']\n", + "\u001b[36mof:\u001b[32m ['Z5']\n", + "\u001b[36mneed:\u001b[32m ['S6+']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 29: I'm her only son, and when she needed me most I wasn't there for her.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36m'm:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36monly:\u001b[32m ['A14']\n", + "\u001b[36mson:\u001b[32m ['S4m']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mwhen:\u001b[32m ['Z5']\n", + "\u001b[36mshe:\u001b[32m ['Z8f']\n", + "\u001b[36mneeded:\u001b[32m ['A5.4+']\n", + "\u001b[36mme:\u001b[32m ['A5.4+']\n", + "\u001b[36mmost:\u001b[32m ['A13.2', 'N5+++']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mn't:\u001b[32m ['Z6']\n", + "\u001b[36mthere:\u001b[32m ['M6', 'T1.2']\n", + "\u001b[36mfor:\u001b[32m ['Z5']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 30: We only got to have one conversation while she could still speak, and it was so rushed and hectic.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mWe:\u001b[32m ['Z8']\n", + "\u001b[36monly:\u001b[32m ['A14']\n", + "\u001b[36mgot:\u001b[32m ['S6+']\n", + "\u001b[36mto:\u001b[32m ['S6+']\n", + "\u001b[36mhave:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mone:\u001b[32m ['N1', 'T3', 'T1.2']\n", + "\u001b[36mconversation:\u001b[32m ['Q2.1']\n", + "\u001b[36mwhile:\u001b[32m ['Z5']\n", + "\u001b[36mshe:\u001b[32m ['Z8f']\n", + "\u001b[36mcould:\u001b[32m ['A7+']\n", + "\u001b[36mstill:\u001b[32m ['T2++', 'Z4', 'E3+']\n", + "\u001b[36mspeak:\u001b[32m ['Q2.1']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mit:\u001b[32m ['Z8']\n", + "\u001b[36mwas:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mso:\u001b[32m ['Z5', 'A13.3']\n", + "\u001b[36mrushed:\u001b[32m ['N3.8+', 'M1/N3.8+', 'M2/N3.8+']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mhectic:\u001b[32m ['A1.1.1']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 31: Thanks to China banning all foreigns apps, I could not communicate with her directly even with a VPN and had to rely on my Aunt who had WeChat to video with her.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mThanks:\u001b[32m ['S1.2.4+']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mChina:\u001b[32m ['Z2']\n", + "\u001b[36mbanning:\u001b[32m ['S7.4-']\n", + "\u001b[36mall:\u001b[32m ['N5.1+']\n", + "\u001b[36mforeigns:\u001b[32m ['M7']\n", + "\u001b[36mapps:\u001b[32m ['Z99']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mcould:\u001b[32m ['A7+']\n", + "\u001b[36mnot:\u001b[32m ['Z6']\n", + "\u001b[36mcommunicate:\u001b[32m ['Q2.1', 'Q1.2', 'Q1.3', 'X2.2+']\n", + "\u001b[36mwith:\u001b[32m ['Z5']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36mdirectly:\u001b[32m ['M6', 'N3.8+', 'S1.1.1']\n", + "\u001b[36meven:\u001b[32m ['A13.1']\n", + "\u001b[36mwith:\u001b[32m ['Z5']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mVPN:\u001b[32m ['Z99']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mhad:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mrely:\u001b[32m ['S7.1-']\n", + "\u001b[36mon:\u001b[32m ['Z5']\n", + "\u001b[36mmy:\u001b[32m ['Z8']\n", + "\u001b[36mAunt:\u001b[32m ['S4f']\n", + "\u001b[36mwho:\u001b[32m ['Z8']\n", + "\u001b[36mhad:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mWeChat:\u001b[32m ['Z99']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mvideo:\u001b[32m ['Q4.3']\n", + "\u001b[36mwith:\u001b[32m ['Z5']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 32: Even though I got to say goodbye and speak with her at the end, it still doesn't feel the same as a real conversation would have.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mEven:\u001b[32m ['A13.1']\n", + "\u001b[36mthough:\u001b[32m ['Z5']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mgot:\u001b[32m ['S6+']\n", + "\u001b[36mto:\u001b[32m ['S6+']\n", + "\u001b[36msay:\u001b[32m ['Q2.2', 'A9-', 'T2-']\n", + "\u001b[36mgoodbye:\u001b[32m ['Q2.2', 'A9-', 'T2-']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mspeak:\u001b[32m ['Q2.1']\n", + "\u001b[36mwith:\u001b[32m ['Z5']\n", + "\u001b[36mher:\u001b[32m ['Z8f']\n", + "\u001b[36mat:\u001b[32m ['Z5']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mend:\u001b[32m ['M6', 'T2-', 'O2', 'X7+', 'N4']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mit:\u001b[32m ['Z8']\n", + "\u001b[36mstill:\u001b[32m ['T2++', 'Z4', 'E3+']\n", + "\u001b[36mdoes:\u001b[32m ['A1.1.1', 'G2.2-', 'X9.2+', 'E3-', 'G2.1%', 'Z5']\n", + "\u001b[36mn't:\u001b[32m ['Z6']\n", + "\u001b[36mfeel:\u001b[32m ['X2.1', 'E1', 'X3']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36msame:\u001b[32m ['A6.1+++']\n", + "\u001b[36mas:\u001b[32m ['Z5']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mreal:\u001b[32m ['A3+', 'A5.2+', 'A5.4+', 'A13.3']\n", + "\u001b[36mconversation:\u001b[32m ['Q2.1']\n", + "\u001b[36mwould:\u001b[32m ['A7+']\n", + "\u001b[36mhave:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 33: I don't know if I will ever forgive myself for not going back to see her and hug her one last time.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mdo:\u001b[32m ['S1.1.3+', 'A1.1.1']\n", + "\u001b[36mn't:\u001b[32m ['Z6']\n", + "\u001b[36mknow:\u001b[32m ['X2.2+', 'S3.2/B1%']\n", + "\u001b[36mif:\u001b[32m ['Z7']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mwill:\u001b[32m ['T1.1.3']\n", + "\u001b[36mever:\u001b[32m ['T1.1', 'N6+++', 'A13']\n", + "\u001b[36mforgive:\u001b[32m ['A5.4+']\n", + "\u001b[36mmyself:\u001b[32m ['A5.4+']\n", + "\u001b[36mfor:\u001b[32m ['Z5']\n", + "\u001b[36mnot:\u001b[32m ['Z6']\n", + "\u001b[36mgoing:\u001b[32m ['M6']\n", + "\u001b[36mback:\u001b[32m ['M6']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36msee:\u001b[32m ['A5.4+']\n", + "\u001b[36mher:\u001b[32m ['A5.4+']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mhug:\u001b[32m ['A5.4+']\n", + "\u001b[36mher:\u001b[32m ['A5.4+']\n", + "\u001b[36mone:\u001b[32m ['N1']\n", + "\u001b[36mlast:\u001b[32m ['N1']\n", + "\u001b[36mtime:\u001b[32m ['T1', 'T1.2', 'T1.3', 'T1.1.2', 'N6', 'N1', 'K2', 'G2.1@']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 34: That's all I have to say.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mThat:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36m's:\u001b[32m ['A9+', 'A3+', 'A2.2', 'Z5']\n", + "\u001b[36mall:\u001b[32m ['N5.1+']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mhave:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36msay:\u001b[32m ['Q2.1', 'Z4%']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 35: I don't have many friends so it helps to get these feelings off my chest anonymously.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mdo:\u001b[32m ['S1.1.3+', 'A1.1.1']\n", + "\u001b[36mn't:\u001b[32m ['Z6']\n", + "\u001b[36mhave:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mmany:\u001b[32m ['N5+']\n", + "\u001b[36mfriends:\u001b[32m ['S3.1/S2mf']\n", + "\u001b[36mso:\u001b[32m ['Z5']\n", + "\u001b[36mit:\u001b[32m ['Z8']\n", + "\u001b[36mhelps:\u001b[32m ['S8+']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mget:\u001b[32m ['A9+', 'Z5', 'X9.2+', 'A2.1+', 'A2.2', 'M1', 'M2', 'X2.5+', 'E4.1-']\n", + "\u001b[36mthese:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36mfeelings:\u001b[32m ['X2.1', 'E1', 'X3']\n", + "\u001b[36moff:\u001b[32m ['Z5', 'E2-']\n", + "\u001b[36mmy:\u001b[32m ['Z8']\n", + "\u001b[36mchest:\u001b[32m ['B1', 'O2']\n", + "\u001b[36manonymously:\u001b[32m ['A10-']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 36: Having experienced this first hand, I empathize so much more now with everyone here as I've been reading your experiences these last couple months.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mHaving:\u001b[32m ['A9+', 'Z5', 'A2.2', 'S4']\n", + "\u001b[36mexperienced:\u001b[32m ['A2.1+/A3+', 'X3']\n", + "\u001b[36mthis:\u001b[32m ['M6', 'Z5', 'Z8']\n", + "\u001b[36mfirst:\u001b[32m ['N4']\n", + "\u001b[36mhand:\u001b[32m ['N4']\n", + "\u001b[36m,:\u001b[32m ['PUNCT']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36mempathize:\u001b[32m ['Z99']\n", + "\u001b[36mso:\u001b[32m ['Z5', 'A13.3']\n", + "\u001b[36mmuch:\u001b[32m ['A13.3', 'N6+']\n", + "\u001b[36mmore:\u001b[32m ['A13.3', 'N6++']\n", + "\u001b[36mnow:\u001b[32m ['T1.1.2', 'Z4']\n", + "\u001b[36mwith:\u001b[32m ['Z5']\n", + "\u001b[36meveryone:\u001b[32m ['Z8/N5.1+c']\n", + "\u001b[36mhere:\u001b[32m ['M6', 'T1.1.2', 'T1.2']\n", + "\u001b[36mas:\u001b[32m ['Z5']\n", + "\u001b[36mI:\u001b[32m ['Z8mf']\n", + "\u001b[36m've:\u001b[32m ['A9+', 'A2.2', 'Z5']\n", + "\u001b[36mbeen:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36mreading:\u001b[32m ['A5.4+']\n", + "\u001b[36myour:\u001b[32m ['A5.4+']\n", + "\u001b[36mexperiences:\u001b[32m ['X2.2+', 'X9.1+', 'I3.2', 'A2.1+/A3+', 'X3']\n", + "\u001b[36mthese:\u001b[32m ['Z5', 'Z8']\n", + "\u001b[36mlast:\u001b[32m ['N4']\n", + "\u001b[36mcouple:\u001b[32m ['T1.3']\n", + "\u001b[36mmonths:\u001b[32m ['T1.3']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n", + "\u001b[32m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 37: Cancer is a scourge to mankind and there's no platitudes to ease the pain.\n", + "\u001b[36m\u001b[1m------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36mCancer:\u001b[32m ['B2-']\n", + "\u001b[36mis:\u001b[32m ['A3+', 'Z5']\n", + "\u001b[36ma:\u001b[32m ['Z5']\n", + "\u001b[36mscourge:\u001b[32m ['E6-']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mmankind:\u001b[32m ['S2']\n", + "\u001b[36mand:\u001b[32m ['Z5']\n", + "\u001b[36mthere:\u001b[32m ['Z5']\n", + "\u001b[36m's:\u001b[32m ['A9+', 'A3+', 'A2.2', 'Z5']\n", + "\u001b[36mno:\u001b[32m ['Z6']\n", + "\u001b[36mplatitudes:\u001b[32m ['A6.2+++']\n", + "\u001b[36mto:\u001b[32m ['Z5']\n", + "\u001b[36mease:\u001b[32m ['A12+/A2.1', 'N5-/A2.1']\n", + "\u001b[36mthe:\u001b[32m ['Z5']\n", + "\u001b[36mpain:\u001b[32m ['B2-', 'E2-', 'E4.1-']\n", + "\u001b[36m.:\u001b[32m ['PUNCT']\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Output tags text 3\n", + "text3_tags" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "yYRvWP9Vn_06", + "outputId": "0a4c30cf-7cfd-44df-c41a-780d3a2b7e94" + }, + "execution_count": 16, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "{0: {'Mom': ['S4/S2.1f'],\n", + " 'was': ['A3+', 'Z5'],\n", + " 'diagnosed': ['B3', 'X2.4'],\n", + " 'with': ['Z5'],\n", + " 'stage': ['T1.2', 'N5.1-', 'H2/K4', 'K4', 'A4.1'],\n", + " '4': ['N1'],\n", + " 'cancer': ['B2-'],\n", + " 'back': ['M6'],\n", + " 'in': ['Z5'],\n", + " 'June': ['T1.3', 'Z1f'],\n", + " '.': ['PUNCT'],\n", + " 'She': ['Z8f'],\n", + " \"'d\": ['A7+'],\n", + " 'been': ['A3+', 'Z5'],\n", + " 'feeling': ['X2.1', 'E1', 'X3'],\n", + " 'pain': ['B2-', 'E2-', 'E4.1-'],\n", + " 'for': ['Z5'],\n", + " 'some': ['T1.3+'],\n", + " 'time': ['T1', 'T1.2', 'T1.3', 'T1.1.2', 'N6', 'N1', 'K2', 'G2.1@'],\n", + " 'but': ['Z5'],\n", + " 'kept': ['A9+', 'N6+', 'T2++', 'A1.7+', 'A2.2', 'F4', 'S8+', 'H4'],\n", + " 'it': ['Z8'],\n", + " 'to': ['Z5'],\n", + " 'herself': ['S1.2.3-'],\n", + " 'until': ['Z5'],\n", + " 'too': ['N5++', 'N5.2+', 'A13.3'],\n", + " 'late': ['T4-', 'L1-', 'T1.1'],\n", + " 'A': ['Z5'],\n", + " 'biopsy': ['B3'],\n", + " 'later': ['T4--', 'T1.1.3', 'N4'],\n", + " 'revealed': ['A5.4+'],\n", + " 'breast': ['B2-'],\n", + " 'that': ['A13.3', 'A6.1+'],\n", + " 'had': ['A9+', 'Z5', 'A2.2', 'S4'],\n", + " 'metastasized': ['Z99'],\n", + " 'her': ['A5.4+'],\n", + " 'bones': ['B1'],\n", + " 'The': ['Z5'],\n", + " 'doctors': ['B3/I3.2/S2mf', 'P1/S2mf'],\n", + " 'gave': ['A5.4+'],\n", + " 'six': ['N1', 'T3', 'T1.2'],\n", + " 'months': ['T1.3'],\n", + " 'live': ['H4', 'L1+', 'A3'],\n", + " 'without': ['Z5'],\n", + " 'treatment': ['B3', 'S1.1.1', 'A1.1.1', 'X4.2'],\n", + " 'so': ['Z5', 'A13.3'],\n", + " 'opted': ['X7+'],\n", + " 'start': ['T2+', 'E5-', 'E3-'],\n", + " 'right': ['A5.3+',\n", + " 'A4.2+',\n", + " 'A1.2+',\n", + " 'G2.2+',\n", + " 'M6',\n", + " 'N3.2+',\n", + " 'A13.3',\n", + " 'A13.2'],\n", + " 'away': ['N3.8+'],\n", + " ',': ['PUNCT'],\n", + " 'due': ['A2.2'],\n", + " 'poor': ['I1.1-', 'A5.1-', 'N5-', 'E4.1-', 'X9.1-'],\n", + " 'health': ['B2', 'X9.2'],\n", + " 'insurance': ['I1/A15-'],\n", + " 'the': ['Z5'],\n", + " 'current': ['T1.1.2'],\n", + " 'Covid': ['Z99'],\n", + " 'epidemic': ['B2-/S5+', 'N5+'],\n", + " 'and': ['Z5'],\n", + " 'pitfalls': ['A15-'],\n", + " 'of': ['Z5'],\n", + " 'bureaucracy': ['G1.1', 'S8-'],\n", + " 'she': ['Z8f'],\n", + " 'did': ['A1.1.1', 'G2.2-', 'X9.2+', 'E3-', 'G2.1%', 'Z5'],\n", + " \"n't\": ['Z6'],\n", + " 'get': ['A9+', 'Z5', 'X9.2+', 'A2.1+', 'A2.2', 'M1', 'M2', 'X2.5+', 'E4.1-'],\n", + " 'into': ['Z5'],\n", + " 'hospital': ['B3/H1c'],\n", + " 'over': ['Z5'],\n", + " 'a': ['Z5'],\n", + " 'month': ['T1.3'],\n", + " 'Since': ['Z5'],\n", + " 'already': ['T1.1.1'],\n", + " 'deteriorating': ['A5.1-/A2.1'],\n", + " 'fast': ['N3.8+'],\n", + " 'basically': ['Z4', 'A13.2'],\n", + " 'lost': ['X9.2-', 'A9-', 'M6/A5.3-', 'L1-'],\n", + " 'ability': ['X9.1+'],\n", + " 'walk': ['M1', 'L2', 'X9.2+/A12+'],\n", + " 'on': ['Z5'],\n", + " 'own': ['A9+', 'S5-'],\n", + " 'at': ['Z5'],\n", + " 'this': ['M6', 'Z5', 'Z8'],\n", + " 'point': ['T1.1.2'],\n", + " 'There': ['Z5'],\n", + " 'tumor': ['Z99'],\n", + " 'spine': ['B1', 'H1', 'Q4.1', 'N3.1'],\n", + " 'said': ['Q2.1'],\n", + " 'if': ['Z7'],\n", + " 'have': ['A9+', 'Z5', 'A2.2', 'S4'],\n", + " 'surgery': ['B3', 'B3/H1', 'B3/H2', 'S8+/T1.3'],\n", + " 'remove': ['A5.4+'],\n", + " 'soon': ['T1.1.3/N3.8+'],\n", + " 'would': ['A7+'],\n", + " 'be': ['A3+', 'Z5'],\n", + " 'paralyzed': ['Z99'],\n", + " 'remainder': ['N5.2+c'],\n", + " 'life': ['L1+',\n", + " 'A3+',\n", + " 'T1.3',\n", + " 'S1.1.1',\n", + " 'A1.1.1',\n", + " 'X5.2+',\n", + " 'Q4.1',\n", + " 'A11.1+++',\n", + " 'A5.4+/C1'],\n", + " 'spinal': ['B1'],\n", + " 'fusion': ['A1.8+', 'Y1'],\n", + " 'which': ['Z5', 'Z8'],\n", + " 'went': ['M1',\n", + " 'A2.1+',\n", + " 'A1.1.1',\n", + " 'A9-',\n", + " 'A1.8+',\n", + " 'Q2.1',\n", + " 'N6+',\n", + " 'I2.2',\n", + " 'A1.1.2',\n", + " 'T2-',\n", + " 'S3.2',\n", + " 'A6.3+',\n", + " 'B2-/X1%',\n", + " 'B1%'],\n", + " 'well': ['A5.1+', 'A13.3', 'A7+', 'B2+', 'Z4'],\n", + " 'we': ['Z8'],\n", + " 'were': ['A3+', 'Z5'],\n", + " 'all': ['N5.1+'],\n", + " 'hopeful': ['X2.6+', 'E4.1+', 'X9.2+', 'A5.1+'],\n", + " 'talking': ['Q2.1'],\n", + " 'about': ['Z5'],\n", + " 'after': ['Z5'],\n", + " 'moving': ['A5.4+'],\n", + " 'home': ['H4', 'M6'],\n", + " 'everyone': ['Z8/N5.1+c'],\n", + " 'essence': ['A11.1+', 'O1'],\n", + " 'our': ['Z8'],\n", + " 'family': ['S4c', 'A4.1c'],\n", + " 'agreed': ['A6.1+', 'Q2.2'],\n", + " 'wanted': ['X7+', 'S6+', 'A7+', 'G2.1-', 'S3.2', 'A9-'],\n", + " 'pursue': ['A1.1.1', 'X8+', 'X2.4', 'M1'],\n", + " 'given': ['A9-', 'A1.1.1'],\n", + " 'hormone': ['B1'],\n", + " 'therapy': ['B3'],\n", + " 'first': ['N4'],\n", + " 'round': ['N5', 'K5.1', 'M1', 'F2', 'B3', 'F1', 'K2%', 'G3%'],\n", + " 'chemo': ['B3'],\n", + " 'within': ['Z5'],\n", + " 'week': ['T1.3'],\n", + " 'Unfortunately': ['A1.4-', 'A5.1-', 'E4.1-'],\n", + " 'few': ['N5-'],\n", + " 'days': ['T1.3'],\n", + " 'developed': ['A2.1+', 'T2+', 'A5.1+/A2.1', 'N3.2+/A2.1', 'H1', 'A9+', 'C1'],\n", + " 'pneumonia': ['B2-'],\n", + " 'Shortly': ['N3.8+'],\n", + " 'thereafter': ['N4'],\n", + " 'sepsis': ['Z99'],\n", + " 'host': ['S2mf', 'B1@', 'Y2@', 'S9%'],\n", + " 'other': ['A6.1-'],\n", + " 'infections': ['B2-'],\n", + " 'put': ['M2', 'Q2.1', 'Q2.2', 'A1.1.1'],\n", + " 'ventilator': ['B3', 'O2'],\n", + " 'At': ['T1.1.2'],\n", + " 'recommending': ['Q2.2'],\n", + " 'palliative': ['B3', 'S8+'],\n", + " 'care': ['S8+', 'G1.1/S8+', 'B3', 'A1.3', 'E6-'],\n", + " 'taking': ['A5.4+'],\n", + " 'off': ['Z5', 'E2-'],\n", + " '\"': ['PUNCT'],\n", + " 'die': ['L1-', 'T2-'],\n", + " 'dignity': ['S7.2+'],\n", + " 'One': ['N5-'],\n", + " 'by': ['N5-'],\n", + " 'one': ['N1'],\n", + " 'organs': ['B1', 'K2', 'Q4.2'],\n", + " 'began': ['T2+'],\n", + " 'fail': ['A5.4+'],\n", + " 'First': ['N4', 'P1@'],\n", + " 'lung': ['B1'],\n", + " 'collapsed': ['A1.1.2', 'B2-', 'N3.2-/A2.1'],\n", + " 'Then': ['N4', 'Z5', 'T1.2'],\n", + " 'kidney': ['B1', 'F1'],\n", + " 'started': ['T2+', 'E5-', 'E3-'],\n", + " 'failing': ['X9.2-', 'A5.1-/A2.1'],\n", + " 'And': ['Z5'],\n", + " 'finally': ['N4'],\n", + " 'last': ['N4'],\n", + " 'night': ['T1.3'],\n", + " 'I': ['Z8mf'],\n", + " 'watched': ['A5.4+'],\n", + " 'through': ['Z5'],\n", + " 'phone': ['Q1.3'],\n", + " 'For': ['Z5'],\n", + " 'me': ['A5.4+'],\n", + " 'worst': ['A5.1---'],\n", + " 'part': ['N5.1-', 'O2', 'M7', 'I3.1', 'S1.1.3+', 'K4'],\n", + " 'could': ['A7+'],\n", + " 'there': ['Z5'],\n", + " 'person': ['S2mfc'],\n", + " 'abroad': ['M7'],\n", + " 'China': ['Z2'],\n", + " 'do': ['S1.1.3+', 'A1.1.1'],\n", + " 'can': ['A7+'],\n", + " 'not': ['Z6'],\n", + " 'come': ['M6'],\n", + " 'here': ['M6', 'T1.1.2', 'T1.2'],\n", + " 'leave': ['M1', 'M2', 'A1.1.1', 'A1.9', 'A9-', 'T2-'],\n", + " 'go': ['M1',\n", + " 'A2.1+',\n", + " 'A1.1.1',\n", + " 'A9-',\n", + " 'A1.8+',\n", + " 'Q2.1',\n", + " 'N6+',\n", + " 'I2.2',\n", + " 'A1.1.2',\n", + " 'T2-',\n", + " 'S3.2',\n", + " 'A6.3+',\n", + " 'B2-/X1%',\n", + " 'B1%'],\n", + " 'States': ['Z2'],\n", + " 'wife': ['T1.3'],\n", + " 'stay': ['M8', 'T2++', 'H4'],\n", + " 'hope': ['X2.6+', 'E4.1+', 'X9.2+', 'A5.1+'],\n", + " 'better': ['A5.1++', 'G2.2++', 'O4.2++'],\n", + " 'visit': ['S1.1.1', 'M1'],\n", + " 'next': ['T1.3', 'P1/S2mf'],\n", + " 'year': ['T1.3', 'P1/S2mf'],\n", + " 'work': ['I3.1', 'A1.1.1', 'X9.2+', 'A2.1+', 'A2.2'],\n", + " 'out': ['Z5'],\n", + " 'eyes': ['B1', 'X3.4'],\n", + " 'open': ['A10+', 'T2+'],\n", + " 'whole': ['N5.1+'],\n", + " 'fell': ['M1',\n", + " 'N5-/A2.1',\n", + " 'S7.1-',\n", + " 'L1-',\n", + " 'A1.8+',\n", + " 'G2.2-',\n", + " 'X9.2-',\n", + " 'K5.2',\n", + " 'A1.1.1'],\n", + " 'asleep': ['B1'],\n", + " 'looked': ['A8', 'X3.4', 'X2.4', 'X7+'],\n", + " 'see': ['A5.4+'],\n", + " 'ready': ['O4.1', 'A1.2+', 'X7+', 'T2+', 'A9+/A12+', 'X9.1+'],\n", + " 'My': ['Z8'],\n", + " 'doing': ['A5.4+'],\n", + " 'their': ['A5.4+'],\n", + " 'best': ['A5.1+++', 'G2.2+++', 'O4.2+++'],\n", + " 'send': ['A5.4+'],\n", + " 'peacefully': ['E3+'],\n", + " 'got': ['S6+'],\n", + " 'little': ['N3.2-', 'T3-', 'N3.7-', 'N3.3-', 'T1.3-', 'A11.1-'],\n", + " 'frustrated': ['E4.2-'],\n", + " 'they': ['Z8mfn'],\n", + " 'just': ['A14', 'T3---', 'T1.3-', 'N3.3---'],\n", + " 'offering': ['A5.4+'],\n", + " 'platitudes': ['A6.2+++'],\n", + " 'going': ['M6'],\n", + " 'peace': ['E3+'],\n", + " 'like': ['X7+'],\n", + " 'waiting': ['T1.3', 'A3+', 'A11.1+', 'S1.1.1%'],\n", + " 'when': ['Z5'],\n", + " 'clear': ['A7+', 'A10+', 'O4.3', 'O4.1', 'N5.1+', 'W4'],\n", + " 'want': ['X7+', 'S6+', 'A7+', 'S3.2', 'A9-'],\n", + " 'yet': ['T1.1.2'],\n", + " 'In': ['Z5'],\n", + " 'aftermath': ['N4'],\n", + " \"'m\": ['A3+', 'Z5'],\n", + " 'immense': ['N3.2++'],\n", + " 'anger': ['T1.3'],\n", + " 'guilt': ['G2.2-', 'G2.1-'],\n", + " 'Anger': 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'A2.1+',\n", + " 'A1.1.1',\n", + " 'A9-',\n", + " 'A1.8+',\n", + " 'Q2.1',\n", + " 'N6+',\n", + " 'I2.2',\n", + " 'A1.1.2',\n", + " 'T2-',\n", + " 'S3.2',\n", + " 'A6.3+',\n", + " 'B2-/X1%',\n", + " 'B1%'],\n", + " 'well': ['A5.1+', 'A13.3', 'A7+', 'B2+', 'Z4'],\n", + " 'we': ['Z8'],\n", + " 'were': ['A3+', 'Z5'],\n", + " 'all': ['N5.1+'],\n", + " 'hopeful': ['X2.6+', 'E4.1+', 'X9.2+', 'A5.1+'],\n", + " 'talking': ['Q2.1'],\n", + " 'about': ['Z5'],\n", + " 'after': ['Z5'],\n", + " 'moving': ['A5.4+'],\n", + " 'home': ['H4', 'M6'],\n", + " 'everyone': ['Z8/N5.1+c'],\n", + " 'essence': ['A11.1+', 'O1'],\n", + " 'our': ['Z8'],\n", + " 'family': ['S4c', 'A4.1c'],\n", + " 'agreed': ['A6.1+', 'Q2.2'],\n", + " 'wanted': ['X7+', 'S6+', 'A7+', 'G2.1-', 'S3.2', 'A9-'],\n", + " 'pursue': ['A1.1.1', 'X8+', 'X2.4', 'M1'],\n", + " 'given': ['A9-', 'A1.1.1'],\n", + " 'hormone': ['B1'],\n", + " 'therapy': ['B3'],\n", + " 'first': ['N4'],\n", + " 'round': ['N5', 'K5.1', 'M1', 'F2', 'B3', 'F1', 'K2%', 'G3%'],\n", + " 'chemo': ['B3'],\n", + " 'within': ['Z5'],\n", + " 'week': ['T1.3'],\n", + " 'Unfortunately': ['A1.4-', 'A5.1-', 'E4.1-'],\n", + " 'few': ['N5-'],\n", + " 'days': ['T1.3'],\n", + " 'developed': ['A2.1+', 'T2+', 'A5.1+/A2.1', 'N3.2+/A2.1', 'H1', 'A9+', 'C1'],\n", + " 'pneumonia': ['B2-'],\n", + " 'Shortly': ['N3.8+'],\n", + " 'thereafter': ['N4'],\n", + " 'sepsis': ['Z99'],\n", + " 'host': ['S2mf', 'B1@', 'Y2@', 'S9%'],\n", + " 'other': ['A6.1-'],\n", + " 'infections': ['B2-'],\n", + " 'put': ['M2', 'Q2.1', 'Q2.2', 'A1.1.1'],\n", + " 'ventilator': ['B3', 'O2'],\n", + " 'At': ['T1.1.2'],\n", + " 'recommending': ['Q2.2'],\n", + " 'palliative': ['B3', 'S8+'],\n", + " 'care': ['S8+', 'G1.1/S8+', 'B3', 'A1.3', 'E6-'],\n", + " 'taking': ['A5.4+'],\n", + " 'off': ['Z5', 'E2-'],\n", + " '\"': ['PUNCT'],\n", + " 'die': ['L1-', 'T2-'],\n", + " 'dignity': ['S7.2+'],\n", + " 'One': ['N5-'],\n", + " 'by': ['N5-'],\n", + " 'one': ['N1'],\n", + " 'organs': ['B1', 'K2', 'Q4.2'],\n", + " 'began': ['T2+'],\n", + " 'fail': ['A5.4+'],\n", + " 'First': ['N4', 'P1@'],\n", + " 'lung': ['B1'],\n", + " 'collapsed': ['A1.1.2', 'B2-', 'N3.2-/A2.1'],\n", + " 'Then': ['N4', 'Z5', 'T1.2'],\n", + " 'kidney': ['B1', 'F1'],\n", + " 'started': ['T2+', 'E5-', 'E3-'],\n", + " 'failing': ['X9.2-', 'A5.1-/A2.1'],\n", + " 'And': ['Z5'],\n", + " 'finally': ['N4'],\n", + " 'last': ['N4'],\n", + " 'night': ['T1.3'],\n", + " 'I': ['Z8mf'],\n", + " 'watched': ['A5.4+'],\n", + " 'through': ['Z5'],\n", + " 'phone': ['Q1.3'],\n", + " 'For': ['Z5'],\n", + " 'me': ['A5.4+'],\n", + " 'worst': ['A5.1---'],\n", + " 'part': ['N5.1-', 'O2', 'M7', 'I3.1', 'S1.1.3+', 'K4'],\n", + " 'could': ['A7+'],\n", + " 'there': ['Z5'],\n", + " 'person': ['S2mfc'],\n", + " 'abroad': ['M7'],\n", + " 'China': ['Z2'],\n", + " 'do': ['S1.1.3+', 'A1.1.1'],\n", + " 'can': ['A7+'],\n", + " 'not': ['Z6'],\n", + " 'come': ['M6'],\n", + " 'here': ['M6', 'T1.1.2', 'T1.2'],\n", + " 'leave': ['M1', 'M2', 'A1.1.1', 'A1.9', 'A9-', 'T2-'],\n", + " 'go': ['M1',\n", + " 'A2.1+',\n", + " 'A1.1.1',\n", + " 'A9-',\n", + " 'A1.8+',\n", + " 'Q2.1',\n", + " 'N6+',\n", + " 'I2.2',\n", + " 'A1.1.2',\n", + " 'T2-',\n", + " 'S3.2',\n", + " 'A6.3+',\n", + " 'B2-/X1%',\n", + " 'B1%'],\n", + " 'States': ['Z2'],\n", + " 'wife': ['T1.3'],\n", + " 'stay': ['M8', 'T2++', 'H4'],\n", + " 'hope': ['X2.6+', 'E4.1+', 'X9.2+', 'A5.1+'],\n", + " 'better': ['A5.1++', 'G2.2++', 'O4.2++'],\n", + " 'visit': ['S1.1.1', 'M1'],\n", + " 'next': ['T1.3', 'P1/S2mf'],\n", + " 'year': ['T1.3', 'P1/S2mf'],\n", + " 'work': ['I3.1', 'A1.1.1', 'X9.2+', 'A2.1+', 'A2.2'],\n", + " 'out': ['Z5'],\n", + " 'eyes': ['B1', 'X3.4'],\n", + " 'open': ['A10+', 'T2+'],\n", + " 'whole': ['N5.1+'],\n", + " 'fell': ['M1',\n", + " 'N5-/A2.1',\n", + " 'S7.1-',\n", + " 'L1-',\n", + " 'A1.8+',\n", + " 'G2.2-',\n", + " 'X9.2-',\n", + " 'K5.2',\n", + " 'A1.1.1'],\n", + " 'asleep': ['B1'],\n", + " 'looked': ['A8', 'X3.4', 'X2.4', 'X7+'],\n", + " 'see': ['A5.4+'],\n", + " 'ready': ['O4.1', 'A1.2+', 'X7+', 'T2+', 'A9+/A12+', 'X9.1+'],\n", + " 'My': ['Z8'],\n", + " 'doing': ['A5.4+'],\n", + " 'their': ['A5.4+'],\n", + " 'best': ['A5.1+++', 'G2.2+++', 'O4.2+++'],\n", + " 'send': ['A5.4+'],\n", + " 'peacefully': ['E3+'],\n", + " 'got': ['S6+'],\n", + " 'little': ['N3.2-', 'T3-', 'N3.7-', 'N3.3-', 'T1.3-', 'A11.1-'],\n", + " 'frustrated': ['E4.2-'],\n", + " 'they': ['Z8mfn'],\n", + " 'just': ['A14', 'T3---', 'T1.3-', 'N3.3---'],\n", + " 'offering': ['A5.4+'],\n", + " 'platitudes': ['A6.2+++'],\n", + " 'going': ['M6'],\n", + " 'peace': ['E3+'],\n", + " 'like': ['X7+'],\n", + " 'waiting': ['T1.3', 'A3+', 'A11.1+', 'S1.1.1%'],\n", + " 'when': ['Z5'],\n", + " 'clear': ['A7+', 'A10+', 'O4.3', 'O4.1', 'N5.1+', 'W4'],\n", + " 'want': ['X7+', 'S6+', 'A7+', 'S3.2', 'A9-'],\n", + " 'yet': ['T1.1.2'],\n", + " 'In': ['Z5'],\n", + " 'aftermath': ['N4'],\n", + " \"'m\": ['A3+', 'Z5'],\n", + " 'immense': ['N3.2++'],\n", + " 'anger': ['T1.3'],\n", + " 'guilt': ['G2.2-', 'G2.1-'],\n", + " 'Anger': ['E3-'],\n", + " 'towards': ['Z5'],\n", + " 'medical': ['B3'],\n", + " 'system': ['X4.2', 'O3', 'M3', 'M4', 'Q1.3', 'Y2', 'B1', 'N2', 'G1.1c'],\n", + " 'view': ['X2.1', 'X3.4', 'X2.4'],\n", + " 'as': ['Z5'],\n", + " 'having': ['A9+', 'Z5', 'A2.2', 'S4'],\n", + " 'failed': ['A5.4+'],\n", + " 'If': ['Z7'],\n", + " 'never': ['T1/Z6'],\n", + " 'gotten': ['A9+', 'Z5', 'X9.2+', 'A2.1+', 'A2.2', 'M1', 'M2'],\n", + " \"'s\": ['A9+', 'A3+', 'A2.2', 'Z5'],\n", + " 'likely': ['A7+', 'A1.2+'],\n", + " 'more': ['A13.3', 'N6++'],\n", + " 'spend': ['A5.4+'],\n", + " 'weeks': ['T1.3'],\n", + " 'much': ['A13.3', 'N6+'],\n", + " 'suffering': ['E4.1-', 'B2-', 'X3', 'A5.1-/A2.1', 'S7.4+'],\n", + " 'trusted': ['X2.1', 'A9-', 'E6+', 'X2.6'],\n", + " 'died': ['L1-', 'T2-'],\n", + " 'entering': ['M1', 'S5+', 'Q1.2', 'T2+', 'A1.8+'],\n", + " 'no': ['Z6'],\n", + " 'doctor': ['B3/I3.2/S2mf', 'P1/S2mf'],\n", + " 'hindsight': ['X2.5+/T4-'],\n", + " 'seems': ['A8'],\n", + " 'weak': ['S1.2.5-', 'O4.1', 'S7.1-', 'A5.1-'],\n", + " 'needed': ['A5.4+'],\n", + " 'recover': ['B2+', 'A5.1+/A2.1', 'A9+'],\n", + " 'from': ['Z5'],\n", + " 'really': ['A13.3', 'A5.2+'],\n", + " 'make': ['A1.1.1', 'A9+', 'A2.2', 'S6+', 'A3+', 'A9-', 'X9.2+', 'X6+'],\n", + " 'an': ['Z5'],\n", + " 'informed': ['X2.2+', 'X2.4', 'Q2.1'],\n", + " 'decision': ['X6+'],\n", + " 'whether': ['Z5'],\n", + " 'course': ['M6', 'X7+', 'P1', 'B3', 'F1', 'M7/K5.1', 'T1.3'],\n", + " 'action': ['A1.1.1', 'G3'],\n", + " 'It': ['Z8'],\n", + " 'feels': ['X7+'],\n", + " 'situation': ['A3+', 'O4.1', 'M6', 'I3.1@'],\n", + " 'rushed': ['N3.8+', 'M1/N3.8+', 'M2/N3.8+'],\n", + " 'greatest': ['A5.1+++', 'A11.1+++', 'N3.2+++', 'N5+++', 'X5.2+++'],\n", + " 'need': ['S6+'],\n", + " 'only': ['A14'],\n", + " 'son': ['S4m'],\n", + " 'most': ['A13.2', 'N5+++'],\n", + " 'We': ['Z8'],\n", + " 'conversation': ['Q2.1'],\n", + " 'while': ['Z5'],\n", + " 'still': ['T2++', 'Z4', 'E3+'],\n", + " 'speak': ['Q2.1'],\n", + " 'hectic': ['A1.1.1'],\n", + " 'Thanks': ['S1.2.4+'],\n", + " 'banning': ['S7.4-'],\n", + " 'foreigns': ['M7'],\n", + " 'apps': ['Z99'],\n", + " 'communicate': ['Q2.1', 'Q1.2', 'Q1.3', 'X2.2+'],\n", + " 'directly': ['M6', 'N3.8+', 'S1.1.1'],\n", + " 'even': ['A13.1'],\n", + " 'VPN': ['Z99'],\n", + " 'rely': ['S7.1-'],\n", + " 'my': ['Z8'],\n", + " 'Aunt': ['S4f'],\n", + " 'who': ['Z8'],\n", + " 'WeChat': ['Z99'],\n", + " 'video': ['Q4.3'],\n", + " 'Even': ['A13.1'],\n", + " 'though': ['Z5'],\n", + " 'say': ['Q2.1', 'Z4%'],\n", + " 'goodbye': ['Q2.2', 'A9-', 'T2-'],\n", + " 'end': ['M6', 'T2-', 'O2', 'X7+', 'N4'],\n", + " 'does': ['A1.1.1', 'G2.2-', 'X9.2+', 'E3-', 'G2.1%', 'Z5'],\n", + " 'feel': ['X2.1', 'E1', 'X3'],\n", + " 'same': ['A6.1+++'],\n", + " 'real': ['A3+', 'A5.2+', 'A5.4+', 'A13.3'],\n", + " 'know': ['X2.2+', 'S3.2/B1%'],\n", + " 'will': ['T1.1.3'],\n", + " 'ever': ['T1.1', 'N6+++', 'A13'],\n", + " 'forgive': ['A5.4+'],\n", + " 'myself': ['A5.4+'],\n", + " 'hug': ['A5.4+'],\n", + " 'That': ['Z5', 'Z8'],\n", + " 'many': ['N5+'],\n", + " 'friends': ['S3.1/S2mf'],\n", + " 'helps': ['S8+'],\n", + " 'these': ['Z5', 'Z8'],\n", + " 'feelings': ['X2.1', 'E1', 'X3'],\n", + " 'chest': ['B1', 'O2'],\n", + " 'anonymously': ['A10-'],\n", + " 'Having': ['A9+', 'Z5', 'A2.2', 'S4'],\n", + " 'experienced': ['A2.1+/A3+', 'X3'],\n", + " 'hand': ['N4'],\n", + " 'empathize': ['Z99'],\n", + " 'now': ['T1.1.2', 'Z4'],\n", + " \"'ve\": ['A9+', 'A2.2', 'Z5'],\n", + " 'reading': ['A5.4+'],\n", + " 'your': ['A5.4+'],\n", + " 'experiences': ['X2.2+', 'X9.1+', 'I3.2', 'A2.1+/A3+', 'X3'],\n", + " 'couple': ['T1.3'],\n", + " 'Cancer': ['B2-'],\n", + " 'is': ['A3+', 'Z5'],\n", + " 'scourge': ['E6-'],\n", + " 'mankind': ['S2'],\n", + " 'ease': ['A12+/A2.1', 'N5-/A2.1']}}" + ] + }, + "metadata": {}, + "execution_count": 16 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "---\n", + "\n", + "# ⚛ **SENTIMENT ANALYSIS** ⚛\n", + "---\n" + ], + "metadata": { + "id": "nAxE-OSYuyuz" + } + }, + { + "cell_type": "markdown", + "source": [ + "### **STEP 6: USAS emotion classes**\n", + "\n", + "---\n", + "\n" + ], + "metadata": { + "id": "n-wfc4UMMqvE" + } + }, + { + "cell_type": "code", + "source": [ + "usas_emo_cls = pd.read_excel(usas_path + \"usas_emo_classes.xlsx\")\n", + "usas_emo_cls_dict = dict(zip(usas_emo_cls.Tag, usas_emo_cls.Class))" + ], + "metadata": { + "id": "-Km0gIEUwIX0" + }, + "execution_count": 17, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "usas_emo_cls_dict" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "zRC0sME3wx-C", + "outputId": "35c35817-bede-46ec-a57f-7c99d438ca38" + }, + "execution_count": 18, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "{'E1': 'Emotional Actions, States And Processes General',\n", + " 'E1+': 'Emotional',\n", + " 'E1-': 'Unemotional',\n", + " 'E2': 'Liking',\n", + " 'E2+': 'Like',\n", + " 'E2-': 'Dislike',\n", + " 'E3': 'Calm/Violent/Angry',\n", + " 'E3+': 'Calm',\n", + " 'E3-': 'Violent/Angry',\n", + " 'E4': 'Happiness and Contentment',\n", + " 'E4.1': 'Happy/sad',\n", + " 'E4.1+': 'Happy',\n", + " 'E4.1-': 'Sad',\n", + " 'E4.2': 'Contentment',\n", + " 'E4.2+': 'Content',\n", + " 'E4.2-': 'Discontent',\n", + " 'E5': 'Bravery and Fear',\n", + " 'E5+': 'Bravery',\n", + " 'E5-': 'Fear/shock',\n", + " 'E6': 'Worry and confidence',\n", + " 'E6+': 'Confident',\n", + " 'E6-': 'Worry'}" + ] + }, + "metadata": {}, + "execution_count": 18 + } + ] + }, + { + "cell_type": "code", + "source": [ + " # importing Image class from PIL package\n", + "\n", + "import IPython.display as display\n", + "from PIL import Image\n", + "\n", + "display.display(Image.open(usas_path + \"usas_emo_tags.png\"))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 561 + }, + "id": "4Xnt8fQ8f2U2", + "outputId": "0cb721c7-b207-4a06-e4cc-be1c8b40077e" + }, + "execution_count": 19, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "image/png": 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+ }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "\n", + "---\n", + "\n", + "### **STEP 7: Extracting emotion words using USAS emotion tags:** *usas_emotion_tags function*\n", + "\n", + ">>**input:** piece of text\n", + "\n", + ">>**output:** python dictionary where *keys* represent a sentence in the input text and *values* represent a dictionary of usas tagged emotion words and tags for that sentence\n", + "\n", + "---\n", + "\n" + ], + "metadata": { + "id": "w129H5WCNbGd" + } + }, + { + "cell_type": "code", + "source": [ + "# Defining the emotion tag extraction function\n", + "def usas_emotion_tags(text):\n", + " usas_eval_tags = {}\n", + " sentences = nltk.sent_tokenize(text)\n", + " for i in range(len(sentences)):\n", + " if(sentences[i]):\n", + " usas_list = {}\n", + " sent = nlp(sentences[i])\n", + " print(\"\\n\")\n", + " print(Fore.MAGENTA + Style.BRIGHT + \"--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\")\n", + " print(Fore.BLUE + Style.BRIGHT + f\"Sentence {i}:\", sentences[i])\n", + " for token in sent:\n", + " tags = token._.pymusas_tags\n", + " emo_tags = [x for x in tags if x.startswith('E')]\n", + " if emo_tags:\n", + " usas_list[token.text] = emo_tags\n", + " print(Fore.MAGENTA + f'{token.text}:' + Fore.GREEN, emo_tags)\n", + " usas_eval_tags[sentences[i]] = usas_list\n", + " return usas_eval_tags" + ], + "metadata": { + "id": "iqlqBVfGRMum" + }, + "execution_count": 20, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Text 1 emotion tag extraction\n", + "text1_emo_tags = usas_emotion_tags(text_1)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "jQWe4dc_OLuE", + "outputId": "a9604754-f426-47a3-a4fb-abb1c9c35da2" + }, + "execution_count": 21, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 0: Hello comrades, just wanted to share my story after a surgery where i scored another goal against cancer and made it 3-0.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 1: Hope it will be inspiring to somebody out there.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 2: I was diagnosed colon cancer in May 2020 when i had a major bleeding from you know where.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 3: Before i know, 30 cm.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 4: of my colon was resected by the surgeons.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 5: The recovery was tough but manageable.\n", + "\u001b[35mtough:\u001b[32m ['E3-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 6: The good part was that even though my tumor was large, the lymph nodes were clear, making me a stage 2.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 7: According to the doctors, i was clear and was one of the lucky ones that has cancer behind now with a new good bar story to tell.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 8: The score was 1-0 for me.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 9: Yet, later i learned the hard way that this shit can travel via bloodstream too.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 10: In January 2021, my routine scanning came back with rather unpleasant news.\n", + "\u001b[35mrather:\u001b[32m ['E2++']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 11: I had several lesions on my liver and my world collapsed when the surgeon told me it was inoperable.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 12: I was now a stage 4 colon cancer with an inoperable liver metastasis and two little boys aged 3 and 5 that i can't leave fatherless.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 13: This was all during Corona lockdown days and my family and kids could not be with me all the time due to restrictions at the hospitals.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 14: Nevertheless, i am not a quitter and i saw this as a new challenge that i need to beat.\n", + "\u001b[35mchallenge:\u001b[32m ['E3-']\n", + "\u001b[35mbeat:\u001b[32m ['E3-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 15: With low odds to start, i was free of any sign of cancer after 1,5 years long chemotherapy and radiotherapy that kicked my balls.\n", + "\u001b[35mlow:\u001b[32m ['E4.1-']\n", + "\u001b[35mstart:\u001b[32m ['E5-', 'E3-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 16: I did not even need a liver surgery.\n", + "\u001b[35mdid:\u001b[32m ['E3-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 17: The score was 2-0 now and we were crossing our fingers that it will never return.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 18: It didn't, but a completely seperate cancer was going to be my new challenge now.\n", + "\u001b[35mdid:\u001b[32m ['E3-']\n", + "\u001b[35mchallenge:\u001b[32m ['E3-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 19: Doctors were suspicious about my thyroid during another routine scanning.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 20: After additional screenings and needle biopsies, it turns out i have thyroid cancer now.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 21: I was like \"meh, this one is easy\".\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 22: Yesterday, i have all my thyroids removed in a surgery.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 23: The tumor was already 2 cm.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 24: It is now 3-0.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 25: I don't know what is expecting me now but surely whatever comes next, i will fight the damn thing.\n", + "\u001b[35mfight:\u001b[32m ['E3-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 26: Meanwhile i will have preventive chemotherapy every 6 months and will keep enjoying raising my kids.\n", + "\u001b[35menjoying:\u001b[32m ['E2+', 'E4.1+']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 27: So comrade, consider yours a challenge as well.\n", + "\u001b[35mchallenge:\u001b[32m ['E3-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 28: You have the strength and optimism in you too no matter how hard life is.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 29: Keep your head up and score.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "text1_emo_tags" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "MlohQL7z7PPb", + "outputId": "fd362905-7f75-4485-f4ab-a29ce665b044" + }, + "execution_count": 22, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "{'Hello comrades, just wanted to share my story after a surgery where i scored another goal against cancer and made it 3-0.': {},\n", + " 'Hope it will be inspiring to somebody out there.': {},\n", + " 'I was diagnosed colon cancer in May 2020 when i had a major bleeding from you know where.': {},\n", + " 'Before i know, 30 cm.': {},\n", + " 'of my colon was resected by the surgeons.': {},\n", + " 'The recovery was tough but manageable.': {'tough': ['E3-']},\n", + " 'The good part was that even though my tumor was large, the lymph nodes were clear, making me a stage 2.': {},\n", + " 'According to the doctors, i was clear and was one of the lucky ones that has cancer behind now with a new good bar story to tell.': {},\n", + " 'The score was 1-0 for me.': {},\n", + " 'Yet, later i learned the hard way that this shit can travel via bloodstream too.': {},\n", + " 'In January 2021, my routine scanning came back with rather unpleasant news.': {'rather': ['E2++']},\n", + " 'I had several lesions on my liver and my world collapsed when the surgeon told me it was inoperable.': {},\n", + " \"I was now a stage 4 colon cancer with an inoperable liver metastasis and two little boys aged 3 and 5 that i can't leave fatherless.\": {},\n", + " 'This was all during Corona lockdown days and my family and kids could not be with me all the time due to restrictions at the hospitals.': {},\n", + " 'Nevertheless, i am not a quitter and i saw this as a new challenge that i need to beat.': {'challenge': ['E3-'],\n", + " 'beat': ['E3-']},\n", + " 'With low odds to start, i was free of any sign of cancer after 1,5 years long chemotherapy and radiotherapy that kicked my balls.': {'low': ['E4.1-'],\n", + " 'start': ['E5-', 'E3-']},\n", + " 'I did not even need a liver surgery.': {'did': ['E3-']},\n", + " 'The score was 2-0 now and we were crossing our fingers that it will never return.': {},\n", + " \"It didn't, but a completely seperate cancer was going to be my new challenge now.\": {'did': ['E3-'],\n", + " 'challenge': ['E3-']},\n", + " 'Doctors were suspicious about my thyroid during another routine scanning.': {},\n", + " 'After additional screenings and needle biopsies, it turns out i have thyroid cancer now.': {},\n", + " 'I was like \"meh, this one is easy\".': {},\n", + " 'Yesterday, i have all my thyroids removed in a surgery.': {},\n", + " 'The tumor was already 2 cm.': {},\n", + " 'It is now 3-0.': {},\n", + " \"I don't know what is expecting me now but surely whatever comes next, i will fight the damn thing.\": {'fight': ['E3-']},\n", + " 'Meanwhile i will have preventive chemotherapy every 6 months and will keep enjoying raising my kids.': {'enjoying': ['E2+',\n", + " 'E4.1+']},\n", + " 'So comrade, consider yours a challenge as well.': {'challenge': ['E3-']},\n", + " 'You have the strength and optimism in you too no matter how hard life is.': {},\n", + " 'Keep your head up and score.': {}}" + ] + }, + "metadata": {}, + "execution_count": 22 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Text 2 emotion tag extraction\n", + "text2_emo_tags = usas_emotion_tags(text_2)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "fg9aMwIAtzC2", + "outputId": "b3b8b491-f39c-456e-ab6f-17954ffb73a9" + }, + "execution_count": 23, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 0: Hi all,\n", + "\n", + "I’m 15 years old, and i was diagnosed with osteosarcoma in May of 2019.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 1: I did 18 rounds of chemo, a limb salvage surgery on my right leg and was given the all clear in February.\n", + "\u001b[35mdid:\u001b[32m ['E3-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 2: I recently found out I have relapsed after only three months in remission.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 3: My oncologist gave us another treatment plan which will involve 6 cycles of a different kind of chemotherapy and surgery to remove the nodules in my lungs.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 4: This time around I feel really scared and discouraged.\n", + "\u001b[35mfeel:\u001b[32m ['E1']\n", + "\u001b[35mscared:\u001b[32m ['E5-', 'E6-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 5: I can do treatment again, i’ve done it before but I understand this time that the prognosis is much poorer especially with how fast i relapsed.\n", + "\u001b[35mpoorer:\u001b[32m ['E4.1--']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 6: I had so many things planned for my life after treatment, i’ve been getting stronger in physical therapy and this just feels so unfair, i’m scared for what my future holds and i want to be a long term survivor so badly but I honestly feel cautious to be optimistic with the numbers my oncologist gave me.\n", + "\u001b[35mgetting:\u001b[32m ['E4.1-']\n", + "\u001b[35mphysical:\u001b[32m ['E3-']\n", + "\u001b[35mfeels:\u001b[32m ['E1']\n", + "\u001b[35mscared:\u001b[32m ['E5-', 'E6-']\n", + "\u001b[35mfeel:\u001b[32m ['E1']\n", + "\u001b[35mcautious:\u001b[32m ['E6-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 7: I’m not really sure why i’m posting this, i’ve never posted before but i think i’m just looking for reasons to keep going and stay positive from others in this community even when the odds are against me\n", + "\n", + "sending good luck and love to you all <3\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Text 3 emotion tag extraction\n", + "text3_emo_tags = usas_emotion_tags(text_3)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "9QFc54Mxt6D7", + "outputId": "d5bb5517-3edd-407b-b07c-19de3cb6c243" + }, + "execution_count": 24, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 0: Mom was diagnosed with stage 4 cancer back in June.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 1: She'd been feeling pain for some time but kept it to herself until it was too late.\n", + "\u001b[35mfeeling:\u001b[32m ['E1']\n", + "\u001b[35mpain:\u001b[32m ['E2-', 'E4.1-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 2: A biopsy later revealed it was breast cancer that had metastasized to her bones.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 3: The doctors gave her six months to live without treatment so Mom opted to start treatment right away, but due to poor health insurance, the current Covid epidemic, and the pitfalls of bureaucracy she didn't get into the hospital until over a month later.\n", + "\u001b[35mstart:\u001b[32m ['E5-', 'E3-']\n", + "\u001b[35mpoor:\u001b[32m ['E4.1-']\n", + "\u001b[35mdid:\u001b[32m ['E3-']\n", + "\u001b[35mget:\u001b[32m ['E4.1-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 4: Since her health was already deteriorating so fast she basically had lost the ability to walk on her own at this point.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 5: There was a tumor on her spine and the doctors said if she didn't have surgery to remove it soon that she would be paralyzed for the remainder of her life.\n", + "\u001b[35mdid:\u001b[32m ['E3-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 6: She had a spinal fusion which went well and at this point we were all hopeful and talking about life after moving her back home to live with everyone.\n", + "\u001b[35mhopeful:\u001b[32m ['E4.1+']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 7: Since time was of the essence and she and everyone in our family agreed that she wanted to pursue treatment, she was given hormone therapy and her first round of chemo within a week of her surgery.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 8: Unfortunately, a few days later she developed pneumonia.\n", + "\u001b[35mUnfortunately:\u001b[32m ['E4.1-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 9: Shortly thereafter, she had developed sepsis and a host of other infections and was put on a ventilator.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 10: At this point the doctors were already recommending palliative care and taking her off the ventilator to \"die with dignity.\"\n", + "\u001b[35mcare:\u001b[32m ['E6-']\n", + "\u001b[35moff:\u001b[32m ['E2-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 11: One by one her organs began to fail her.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 12: First her right lung collapsed.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 13: Then her kidney started failing.\n", + "\u001b[35mstarted:\u001b[32m ['E5-', 'E3-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 14: And finally last night, I watched her die through a phone.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 15: For me, the worst part about this was that I couldn't be there for her in person.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 16: I live abroad in China, and do to the current epidemic I cannot come back here if I were to leave and go back to the States.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 17: I have a wife and family here, so I opted to stay with the hope that she would get better and I could visit next year.\n", + "\u001b[35mhope:\u001b[32m ['E4.1+']\n", + "\u001b[35mget:\u001b[32m ['E4.1-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 18: Unfortunately, it didn't work out.\n", + "\u001b[35mUnfortunately:\u001b[32m ['E4.1-']\n", + "\u001b[35mdid:\u001b[32m ['E3-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 19: She kept her eyes open the whole night until she finally fell asleep.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 20: I looked into her eyes and could see that she wasn't ready to go.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 21: My family that was with her were doing their best to send her off peacefully, but I got a little frustrated that they just kept offering her platitudes about going in peace, like they were just waiting for her to die, when it was so clear that she didn't want to go yet.\n", + "\u001b[35moff:\u001b[32m ['E2-']\n", + "\u001b[35mpeacefully:\u001b[32m ['E3+']\n", + "\u001b[35mgot:\u001b[32m ['E4.1-']\n", + "\u001b[35mfrustrated:\u001b[32m ['E4.2-']\n", + "\u001b[35mpeace:\u001b[32m ['E3+']\n", + "\u001b[35mdid:\u001b[32m ['E3-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 22: In the aftermath, I'm feeling immense anger and guilt.\n", + "\u001b[35mfeeling:\u001b[32m ['E1']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 23: Anger towards a medical system that I view as having failed her.\n", + "\u001b[35mAnger:\u001b[32m ['E3-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 24: If she had never opted for treatment and just gotten palliative care, it's likely that she would have had more time and wouldn't have had to spend her last weeks on a ventilator in so much suffering.\n", + "\u001b[35mcare:\u001b[32m ['E6-']\n", + "\u001b[35msuffering:\u001b[32m ['E4.1-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 25: Anger that we all trusted the doctors and yet she died within weeks of entering the hospital.\n", + "\u001b[35mAnger:\u001b[32m ['E3-']\n", + "\u001b[35mtrusted:\u001b[32m ['E6+']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 26: I'm no doctor, but in hindsight it seems clear that she was too weak to start treatment and needed more time to recover from her surgery and really make an informed decision whether treatment was the best course of action.\n", + "\u001b[35mstart:\u001b[32m ['E5-', 'E3-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 27: It feels like the whole situation was so rushed.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 28: And of course, guilt that I wasn't there for her in her greatest time of need.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 29: I'm her only son, and when she needed me most I wasn't there for her.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 30: We only got to have one conversation while she could still speak, and it was so rushed and hectic.\n", + "\u001b[35mstill:\u001b[32m ['E3+']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 31: Thanks to China banning all foreigns apps, I could not communicate with her directly even with a VPN and had to rely on my Aunt who had WeChat to video with her.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 32: Even though I got to say goodbye and speak with her at the end, it still doesn't feel the same as a real conversation would have.\n", + "\u001b[35mstill:\u001b[32m ['E3+']\n", + "\u001b[35mdoes:\u001b[32m ['E3-']\n", + "\u001b[35mfeel:\u001b[32m ['E1']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 33: I don't know if I will ever forgive myself for not going back to see her and hug her one last time.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 34: That's all I have to say.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 35: I don't have many friends so it helps to get these feelings off my chest anonymously.\n", + "\u001b[35mget:\u001b[32m ['E4.1-']\n", + "\u001b[35mfeelings:\u001b[32m ['E1']\n", + "\u001b[35moff:\u001b[32m ['E2-']\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 36: Having experienced this first hand, I empathize so much more now with everyone here as I've been reading your experiences these last couple months.\n", + "\n", + "\n", + "\u001b[35m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[34m\u001b[1mSentence 37: Cancer is a scourge to mankind and there's no platitudes to ease the pain.\n", + "\u001b[35mscourge:\u001b[32m ['E6-']\n", + "\u001b[35mpain:\u001b[32m ['E2-', 'E4.1-']\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "text2_emo_tags" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "9JuN0DQcuKO_", + "outputId": "f61b13e9-4128-4831-e9d7-8e0b3e0a3e24" + }, + "execution_count": 25, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "{'Hi all,\\n\\nI’m 15 years old, and i was diagnosed with osteosarcoma in May of 2019.': {},\n", + " 'I did 18 rounds of chemo, a limb salvage surgery on my right leg and was given the all clear in February.': {'did': ['E3-']},\n", + " 'I recently found out I have relapsed after only three months in remission.': {},\n", + " 'My oncologist gave us another treatment plan which will involve 6 cycles of a different kind of chemotherapy and surgery to remove the nodules in my lungs.': {},\n", + " 'This time around I feel really scared and discouraged.': {'feel': ['E1'],\n", + " 'scared': ['E5-', 'E6-']},\n", + " 'I can do treatment again, i’ve done it before but I understand this time that the prognosis is much poorer especially with how fast i relapsed.': {'poorer': ['E4.1--']},\n", + " 'I had so many things planned for my life after treatment, i’ve been getting stronger in physical therapy and this just feels so unfair, i’m scared for what my future holds and i want to be a long term survivor so badly but I honestly feel cautious to be optimistic with the numbers my oncologist gave me.': {'getting': ['E4.1-'],\n", + " 'physical': ['E3-'],\n", + " 'feels': ['E1'],\n", + " 'scared': ['E5-', 'E6-'],\n", + " 'feel': ['E1'],\n", + " 'cautious': ['E6-']},\n", + " 'I’m not really sure why i’m posting this, i’ve never posted before but i think i’m just looking for reasons to keep going and stay positive from others in this community even when the odds are against me\\n\\nsending good luck and love to you all <3': {}}" + ] + }, + "metadata": {}, + "execution_count": 25 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "\n", + "---\n", + "\n", + "### **STEP 8: USAS Sentiment Classification:** *usas_sentiment_classifier function*\n", + "\n", + ">>**input:** dictionary of sentence and emotion word tags\n", + "\n", + ">>**output:** sentiment class *positive*, *negative*, *neutral* with counts per class\n", + "\n", + "---\n", + "\n" + ], + "metadata": { + "id": "-IJhc5ZsRAYC" + } + }, + { + "cell_type": "code", + "source": [ + "# Defining the sentiment classifier\n", + "def usas_sentiment_classifier(usas_emo_tag, positive, negative, neutral):\n", + " sentiment_cls = {}\n", + " for sent, emo_dict in usas_emo_tag.items():\n", + " neg, pos, neu = 0, 0, 0\n", + " if(emo_dict):\n", + " for key, val_list in emo_dict.items():\n", + " for val in val_list:\n", + " if val.endswith('-'):\n", + " neg+=1\n", + " negative+=1\n", + " elif val.endswith('+'):\n", + " pos+=1\n", + " positive+=1\n", + " else:\n", + " neu+=1\n", + " neutral+=1\n", + " else:\n", + " neu+=1\n", + " neutral+=1\n", + " if neg==max(pos, neg, neu):\n", + " sentiment = 'negative'\n", + " sentiment_cls[sent] = sentiment\n", + " elif pos==max(pos, neg, neu):\n", + " sentiment = 'positive'\n", + " sentiment_cls[sent] = sentiment\n", + " else:\n", + " sentiment = 'neutral'\n", + " sentiment_cls[sent] = sentiment\n", + " print(Fore.MAGENTA + Style.BRIGHT + \"Sentence:\", sent)\n", + " print(Fore.GREEN + Style.BRIGHT + \"class:\", sentiment)\n", + " print(\"\\n\")\n", + " print(Fore.GREEN + Style.BRIGHT + \"--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\")\n", + " return sentiment_cls, positive, negative, neutral" + ], + "metadata": { + "id": "zstTMSZkufiW" + }, + "execution_count": 26, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Sentiment counts and tagging\n", + "sentiments_text1, pos_text1, neg_text1, neu_text1 = usas_sentiment_classifier(text1_emo_tags, 0, 0, 0)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "SzvxMN6Qvaqz", + "outputId": "29a6c5d8-0b0f-4a86-8cd9-653103bf5577" + }, + "execution_count": 27, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[35m\u001b[1mSentence: Hello comrades, just wanted to share my story after a surgery where i scored another goal against cancer and made it 3-0.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Hope it will be inspiring to somebody out there.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: I was diagnosed colon cancer in May 2020 when i had a major bleeding from you know where.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Before i know, 30 cm.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: of my colon was resected by the surgeons.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: The recovery was tough but manageable.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: The good part was that even though my tumor was large, the lymph nodes were clear, making me a stage 2.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: According to the doctors, i was clear and was one of the lucky ones that has cancer behind now with a new good bar story to tell.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: The score was 1-0 for me.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Yet, later i learned the hard way that this shit can travel via bloodstream too.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: In January 2021, my routine scanning came back with rather unpleasant news.\n", + "\u001b[32m\u001b[1mclass: positive\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: I had several lesions on my liver and my world collapsed when the surgeon told me it was inoperable.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: I was now a stage 4 colon cancer with an inoperable liver metastasis and two little boys aged 3 and 5 that i can't leave fatherless.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: This was all during Corona lockdown days and my family and kids could not be with me all the time due to restrictions at the hospitals.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Nevertheless, i am not a quitter and i saw this as a new challenge that i need to beat.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: With low odds to start, i was free of any sign of cancer after 1,5 years long chemotherapy and radiotherapy that kicked my balls.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: I did not even need a liver surgery.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: The score was 2-0 now and we were crossing our fingers that it will never return.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: It didn't, but a completely seperate cancer was going to be my new challenge now.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Doctors were suspicious about my thyroid during another routine scanning.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: After additional screenings and needle biopsies, it turns out i have thyroid cancer now.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: I was like \"meh, this one is easy\".\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Yesterday, i have all my thyroids removed in a surgery.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: The tumor was already 2 cm.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: It is now 3-0.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: I don't know what is expecting me now but surely whatever comes next, i will fight the damn thing.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Meanwhile i will have preventive chemotherapy every 6 months and will keep enjoying raising my kids.\n", + "\u001b[32m\u001b[1mclass: positive\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: So comrade, consider yours a challenge as well.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: You have the strength and optimism in you too no matter how hard life is.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Keep your head up and score.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Text 1 sentiment tags per sentence\n", + "sentiments_text1" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "WvanCMDHJUNR", + "outputId": "82acb1d6-77ae-4e2f-97ac-25d473f46250" + }, + "execution_count": 28, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "{'Hello comrades, just wanted to share my story after a surgery where i scored another goal against cancer and made it 3-0.': 'neutral',\n", + " 'Hope it will be inspiring to somebody out there.': 'neutral',\n", + " 'I was diagnosed colon cancer in May 2020 when i had a major bleeding from you know where.': 'neutral',\n", + " 'Before i know, 30 cm.': 'neutral',\n", + " 'of my colon was resected by the surgeons.': 'neutral',\n", + " 'The recovery was tough but manageable.': 'negative',\n", + " 'The good part was that even though my tumor was large, the lymph nodes were clear, making me a stage 2.': 'neutral',\n", + " 'According to the doctors, i was clear and was one of the lucky ones that has cancer behind now with a new good bar story to tell.': 'neutral',\n", + " 'The score was 1-0 for me.': 'neutral',\n", + " 'Yet, later i learned the hard way that this shit can travel via bloodstream too.': 'neutral',\n", + " 'In January 2021, my routine scanning came back with rather unpleasant news.': 'positive',\n", + " 'I had several lesions on my liver and my world collapsed when the surgeon told me it was inoperable.': 'neutral',\n", + " \"I was now a stage 4 colon cancer with an inoperable liver metastasis and two little boys aged 3 and 5 that i can't leave fatherless.\": 'neutral',\n", + " 'This was all during Corona lockdown days and my family and kids could not be with me all the time due to restrictions at the hospitals.': 'neutral',\n", + " 'Nevertheless, i am not a quitter and i saw this as a new challenge that i need to beat.': 'negative',\n", + " 'With low odds to start, i was free of any sign of cancer after 1,5 years long chemotherapy and radiotherapy that kicked my balls.': 'negative',\n", + " 'I did not even need a liver surgery.': 'negative',\n", + " 'The score was 2-0 now and we were crossing our fingers that it will never return.': 'neutral',\n", + " \"It didn't, but a completely seperate cancer was going to be my new challenge now.\": 'negative',\n", + " 'Doctors were suspicious about my thyroid during another routine scanning.': 'neutral',\n", + " 'After additional screenings and needle biopsies, it turns out i have thyroid cancer now.': 'neutral',\n", + " 'I was like \"meh, this one is easy\".': 'neutral',\n", + " 'Yesterday, i have all my thyroids removed in a surgery.': 'neutral',\n", + " 'The tumor was already 2 cm.': 'neutral',\n", + " 'It is now 3-0.': 'neutral',\n", + " \"I don't know what is expecting me now but surely whatever comes next, i will fight the damn thing.\": 'negative',\n", + " 'Meanwhile i will have preventive chemotherapy every 6 months and will keep enjoying raising my kids.': 'positive',\n", + " 'So comrade, consider yours a challenge as well.': 'negative',\n", + " 'You have the strength and optimism in you too no matter how hard life is.': 'neutral',\n", + " 'Keep your head up and score.': 'neutral'}" + ] + }, + "metadata": {}, + "execution_count": 28 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Text 1 sentiment counts for per class\n", + "print(f'Text 1: positive = {pos_text1}, negative = {neg_text1}, neutral = {neu_text1}')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "v7lYra0CeLOd", + "outputId": "f68e3de0-c777-48f0-ab4c-dbcdcc33ff57" + }, + "execution_count": 29, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Text 1: positive = 3, negative = 11, neutral = 21\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "text1_emo_tags" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "c8P--JocgPxg", + "outputId": "86f25c40-56c9-4c8e-fd5d-3f4a9cac8caa" + }, + "execution_count": 30, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "{'Hello comrades, just wanted to share my story after a surgery where i scored another goal against cancer and made it 3-0.': {},\n", + " 'Hope it will be inspiring to somebody out there.': {},\n", + " 'I was diagnosed colon cancer in May 2020 when i had a major bleeding from you know where.': {},\n", + " 'Before i know, 30 cm.': {},\n", + " 'of my colon was resected by the surgeons.': {},\n", + " 'The recovery was tough but manageable.': {'tough': ['E3-']},\n", + " 'The good part was that even though my tumor was large, the lymph nodes were clear, making me a stage 2.': {},\n", + " 'According to the doctors, i was clear and was one of the lucky ones that has cancer behind now with a new good bar story to tell.': {},\n", + " 'The score was 1-0 for me.': {},\n", + " 'Yet, later i learned the hard way that this shit can travel via bloodstream too.': {},\n", + " 'In January 2021, my routine scanning came back with rather unpleasant news.': {'rather': ['E2++']},\n", + " 'I had several lesions on my liver and my world collapsed when the surgeon told me it was inoperable.': {},\n", + " \"I was now a stage 4 colon cancer with an inoperable liver metastasis and two little boys aged 3 and 5 that i can't leave fatherless.\": {},\n", + " 'This was all during Corona lockdown days and my family and kids could not be with me all the time due to restrictions at the hospitals.': {},\n", + " 'Nevertheless, i am not a quitter and i saw this as a new challenge that i need to beat.': {'challenge': ['E3-'],\n", + " 'beat': ['E3-']},\n", + " 'With low odds to start, i was free of any sign of cancer after 1,5 years long chemotherapy and radiotherapy that kicked my balls.': {'low': ['E4.1-'],\n", + " 'start': ['E5-', 'E3-']},\n", + " 'I did not even need a liver surgery.': {'did': ['E3-']},\n", + " 'The score was 2-0 now and we were crossing our fingers that it will never return.': {},\n", + " \"It didn't, but a completely seperate cancer was going to be my new challenge now.\": {'did': ['E3-'],\n", + " 'challenge': ['E3-']},\n", + " 'Doctors were suspicious about my thyroid during another routine scanning.': {},\n", + " 'After additional screenings and needle biopsies, it turns out i have thyroid cancer now.': {},\n", + " 'I was like \"meh, this one is easy\".': {},\n", + " 'Yesterday, i have all my thyroids removed in a surgery.': {},\n", + " 'The tumor was already 2 cm.': {},\n", + " 'It is now 3-0.': {},\n", + " \"I don't know what is expecting me now but surely whatever comes next, i will fight the damn thing.\": {'fight': ['E3-']},\n", + " 'Meanwhile i will have preventive chemotherapy every 6 months and will keep enjoying raising my kids.': {'enjoying': ['E2+',\n", + " 'E4.1+']},\n", + " 'So comrade, consider yours a challenge as well.': {'challenge': ['E3-']},\n", + " 'You have the strength and optimism in you too no matter how hard life is.': {},\n", + " 'Keep your head up and score.': {}}" + ] + }, + "metadata": {}, + "execution_count": 30 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Text 2 sentiment tags per sentence\n", + "sentiments_text2, pos_text2, neg_text2, neu_text2 = usas_sentiment_classifier(text2_emo_tags, 0, 0, 0)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ud17TaF6-m9b", + "outputId": "e762375d-e9cc-42ba-b4c8-1c6eaa0efd77" + }, + "execution_count": 31, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[35m\u001b[1mSentence: Hi all,\n", + "\n", + "I’m 15 years old, and i was diagnosed with osteosarcoma in May of 2019.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: I did 18 rounds of chemo, a limb salvage surgery on my right leg and was given the all clear in February.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: I recently found out I have relapsed after only three months in remission.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: My oncologist gave us another treatment plan which will involve 6 cycles of a different kind of chemotherapy and surgery to remove the nodules in my lungs.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: This time around I feel really scared and discouraged.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: I can do treatment again, i’ve done it before but I understand this time that the prognosis is much poorer especially with how fast i relapsed.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: I had so many things planned for my life after treatment, i’ve been getting stronger in physical therapy and this just feels so unfair, i’m scared for what my future holds and i want to be a long term survivor so badly but I honestly feel cautious to be optimistic with the numbers my oncologist gave me.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: I’m not really sure why i’m posting this, i’ve never posted before but i think i’m just looking for reasons to keep going and stay positive from others in this community even when the odds are against me\n", + "\n", + "sending good luck and love to you all <3\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Sentiment tags for each sentence in text 2\n", + "sentiments_text2" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "wC5LVz_qTHr4", + "outputId": "49286d3d-d3b3-46f5-97dc-9cec32eca9ad" + }, + "execution_count": 32, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "{'Hi all,\\n\\nI’m 15 years old, and i was diagnosed with osteosarcoma in May of 2019.': 'neutral',\n", + " 'I did 18 rounds of chemo, a limb salvage surgery on my right leg and was given the all clear in February.': 'negative',\n", + " 'I recently found out I have relapsed after only three months in remission.': 'neutral',\n", + " 'My oncologist gave us another treatment plan which will involve 6 cycles of a different kind of chemotherapy and surgery to remove the nodules in my lungs.': 'neutral',\n", + " 'This time around I feel really scared and discouraged.': 'negative',\n", + " 'I can do treatment again, i’ve done it before but I understand this time that the prognosis is much poorer especially with how fast i relapsed.': 'negative',\n", + " 'I had so many things planned for my life after treatment, i’ve been getting stronger in physical therapy and this just feels so unfair, i’m scared for what my future holds and i want to be a long term survivor so badly but I honestly feel cautious to be optimistic with the numbers my oncologist gave me.': 'negative',\n", + " 'I’m not really sure why i’m posting this, i’ve never posted before but i think i’m just looking for reasons to keep going and stay positive from others in this community even when the odds are against me\\n\\nsending good luck and love to you all <3': 'neutral'}" + ] + }, + "metadata": {}, + "execution_count": 32 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Text 2 sentiment counts for per class\n", + "print(f'Text 2: positive = {pos_text2}, negative = {neg_text2}, neutral = {neu_text2}')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "gNGJbnNuer_4", + "outputId": "8c12b2b0-249a-4ab0-e3c6-ec1697ed2a26" + }, + "execution_count": 33, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Text 2: positive = 0, negative = 9, neutral = 7\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "text2_emo_tags" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "bS5GlBqtgzCH", + "outputId": "5625227f-2a75-4dd1-f389-301972cc91cb" + }, + "execution_count": 34, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "{'Hi all,\\n\\nI’m 15 years old, and i was diagnosed with osteosarcoma in May of 2019.': {},\n", + " 'I did 18 rounds of chemo, a limb salvage surgery on my right leg and was given the all clear in February.': {'did': ['E3-']},\n", + " 'I recently found out I have relapsed after only three months in remission.': {},\n", + " 'My oncologist gave us another treatment plan which will involve 6 cycles of a different kind of chemotherapy and surgery to remove the nodules in my lungs.': {},\n", + " 'This time around I feel really scared and discouraged.': {'feel': ['E1'],\n", + " 'scared': ['E5-', 'E6-']},\n", + " 'I can do treatment again, i’ve done it before but I understand this time that the prognosis is much poorer especially with how fast i relapsed.': {'poorer': ['E4.1--']},\n", + " 'I had so many things planned for my life after treatment, i’ve been getting stronger in physical therapy and this just feels so unfair, i’m scared for what my future holds and i want to be a long term survivor so badly but I honestly feel cautious to be optimistic with the numbers my oncologist gave me.': {'getting': ['E4.1-'],\n", + " 'physical': ['E3-'],\n", + " 'feels': ['E1'],\n", + " 'scared': ['E5-', 'E6-'],\n", + " 'feel': ['E1'],\n", + " 'cautious': ['E6-']},\n", + " 'I’m not really sure why i’m posting this, i’ve never posted before but i think i’m just looking for reasons to keep going and stay positive from others in this community even when the odds are against me\\n\\nsending good luck and love to you all <3': {}}" + ] + }, + "metadata": {}, + "execution_count": 34 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Text 3 sentiment tags per sentence\n", + "sentiments_text3, pos_text3, neg_text3, neu_text3 = usas_sentiment_classifier(text3_emo_tags, 0, 0, 0)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "K0A4D5XLC7Bv", + "outputId": "5c1d9e66-bdc5-4f9e-dcd2-add05ed8f35e" + }, + "execution_count": 35, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[35m\u001b[1mSentence: Mom was diagnosed with stage 4 cancer back in June.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: She'd been feeling pain for some time but kept it to herself until it was too late.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: A biopsy later revealed it was breast cancer that had metastasized to her bones.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: The doctors gave her six months to live without treatment so Mom opted to start treatment right away, but due to poor health insurance, the current Covid epidemic, and the pitfalls of bureaucracy she didn't get into the hospital until over a month later.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Since her health was already deteriorating so fast she basically had lost the ability to walk on her own at this point.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: There was a tumor on her spine and the doctors said if she didn't have surgery to remove it soon that she would be paralyzed for the remainder of her life.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: She had a spinal fusion which went well and at this point we were all hopeful and talking about life after moving her back home to live with everyone.\n", + "\u001b[32m\u001b[1mclass: positive\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Since time was of the essence and she and everyone in our family agreed that she wanted to pursue treatment, she was given hormone therapy and her first round of chemo within a week of her surgery.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Unfortunately, a few days later she developed pneumonia.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Shortly thereafter, she had developed sepsis and a host of other infections and was put on a ventilator.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: At this point the doctors were already recommending palliative care and taking her off the ventilator to \"die with dignity.\"\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: One by one her organs began to fail her.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: First her right lung collapsed.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Then her kidney started failing.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: And finally last night, I watched her die through a phone.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: For me, the worst part about this was that I couldn't be there for her in person.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: I live abroad in China, and do to the current epidemic I cannot come back here if I were to leave and go back to the States.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: I have a wife and family here, so I opted to stay with the hope that she would get better and I could visit next year.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Unfortunately, it didn't work out.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: She kept her eyes open the whole night until she finally fell asleep.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: I looked into her eyes and could see that she wasn't ready to go.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: My family that was with her were doing their best to send her off peacefully, but I got a little frustrated that they just kept offering her platitudes about going in peace, like they were just waiting for her to die, when it was so clear that she didn't want to go yet.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: In the aftermath, I'm feeling immense anger and guilt.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Anger towards a medical system that I view as having failed her.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: If she had never opted for treatment and just gotten palliative care, it's likely that she would have had more time and wouldn't have had to spend her last weeks on a ventilator in so much suffering.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Anger that we all trusted the doctors and yet she died within weeks of entering the hospital.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: I'm no doctor, but in hindsight it seems clear that she was too weak to start treatment and needed more time to recover from her surgery and really make an informed decision whether treatment was the best course of action.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: It feels like the whole situation was so rushed.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: And of course, guilt that I wasn't there for her in her greatest time of need.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: I'm her only son, and when she needed me most I wasn't there for her.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: We only got to have one conversation while she could still speak, and it was so rushed and hectic.\n", + "\u001b[32m\u001b[1mclass: positive\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Thanks to China banning all foreigns apps, I could not communicate with her directly even with a VPN and had to rely on my Aunt who had WeChat to video with her.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Even though I got to say goodbye and speak with her at the end, it still doesn't feel the same as a real conversation would have.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: I don't know if I will ever forgive myself for not going back to see her and hug her one last time.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: That's all I have to say.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: I don't have many friends so it helps to get these feelings off my chest anonymously.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Having experienced this first hand, I empathize so much more now with everyone here as I've been reading your experiences these last couple months.\n", + "\u001b[32m\u001b[1mclass: neutral\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[35m\u001b[1mSentence: Cancer is a scourge to mankind and there's no platitudes to ease the pain.\n", + "\u001b[32m\u001b[1mclass: negative\n", + "\n", + "\n", + "\u001b[32m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Sentiment tags for each sentence in text 3\n", + "sentiments_text3" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "cRN5KDIyTLAC", + "outputId": "1875c0fe-ec80-408d-88a8-48122965e530" + }, + "execution_count": 36, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "{'Mom was diagnosed with stage 4 cancer back in June.': 'neutral',\n", + " \"She'd been feeling pain for some time but kept it to herself until it was too late.\": 'negative',\n", + " 'A biopsy later revealed it was breast cancer that had metastasized to her bones.': 'neutral',\n", + " \"The doctors gave her six months to live without treatment so Mom opted to start treatment right away, but due to poor health insurance, the current Covid epidemic, and the pitfalls of bureaucracy she didn't get into the hospital until over a month later.\": 'negative',\n", + " 'Since her health was already deteriorating so fast she basically had lost the ability to walk on her own at this point.': 'neutral',\n", + " \"There was a tumor on her spine and the doctors said if she didn't have surgery to remove it soon that she would be paralyzed for the remainder of her life.\": 'negative',\n", + " 'She had a spinal fusion which went well and at this point we were all hopeful and talking about life after moving her back home to live with everyone.': 'positive',\n", + " 'Since time was of the essence and she and everyone in our family agreed that she wanted to pursue treatment, she was given hormone therapy and her first round of chemo within a week of her surgery.': 'neutral',\n", + " 'Unfortunately, a few days later she developed pneumonia.': 'negative',\n", + " 'Shortly thereafter, she had developed sepsis and a host of other infections and was put on a ventilator.': 'neutral',\n", + " 'At this point the doctors were already recommending palliative care and taking her off the ventilator to \"die with dignity.\"': 'negative',\n", + " 'One by one her organs began to fail her.': 'neutral',\n", + " 'First her right lung collapsed.': 'neutral',\n", + " 'Then her kidney started failing.': 'negative',\n", + " 'And finally last night, I watched her die through a phone.': 'neutral',\n", + " \"For me, the worst part about this was that I couldn't be there for her in person.\": 'neutral',\n", + " 'I live abroad in China, and do to the current epidemic I cannot come back here if I were to leave and go back to the States.': 'neutral',\n", + " 'I have a wife and family here, so I opted to stay with the hope that she would get better and I could visit next year.': 'negative',\n", + " \"Unfortunately, it didn't work out.\": 'negative',\n", + " 'She kept her eyes open the whole night until she finally fell asleep.': 'neutral',\n", + " \"I looked into her eyes and could see that she wasn't ready to go.\": 'neutral',\n", + " \"My family that was with her were doing their best to send her off peacefully, but I got a little frustrated that they just kept offering her platitudes about going in peace, like they were just waiting for her to die, when it was so clear that she didn't want to go yet.\": 'negative',\n", + " \"In the aftermath, I'm feeling immense anger and guilt.\": 'neutral',\n", + " 'Anger towards a medical system that I view as having failed her.': 'negative',\n", + " \"If she had never opted for treatment and just gotten palliative care, it's likely that she would have had more time and wouldn't have had to spend her last weeks on a ventilator in so much suffering.\": 'negative',\n", + " 'Anger that we all trusted the doctors and yet she died within weeks of entering the hospital.': 'negative',\n", + " \"I'm no doctor, but in hindsight it seems clear that she was too weak to start treatment and needed more time to recover from her surgery and really make an informed decision whether treatment was the best course of action.\": 'negative',\n", + " 'It feels like the whole situation was so rushed.': 'neutral',\n", + " \"And of course, guilt that I wasn't there for her in her greatest time of need.\": 'neutral',\n", + " \"I'm her only son, and when she needed me most I wasn't there for her.\": 'neutral',\n", + " 'We only got to have one conversation while she could still speak, and it was so rushed and hectic.': 'positive',\n", + " 'Thanks to China banning all foreigns apps, I could not communicate with her directly even with a VPN and had to rely on my Aunt who had WeChat to video with her.': 'neutral',\n", + " \"Even though I got to say goodbye and speak with her at the end, it still doesn't feel the same as a real conversation would have.\": 'negative',\n", + " \"I don't know if I will ever forgive myself for not going back to see her and hug her one last time.\": 'neutral',\n", + " \"That's all I have to say.\": 'neutral',\n", + " \"I don't have many friends so it helps to get these feelings off my chest anonymously.\": 'negative',\n", + " \"Having experienced this first hand, I empathize so much more now with everyone here as I've been reading your experiences these last couple months.\": 'neutral',\n", + " \"Cancer is a scourge to mankind and there's no platitudes to ease the pain.\": 'negative'}" + ] + }, + "metadata": {}, + "execution_count": 36 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Text 3 sentiment counts for per class\n", + "print(f'Text 3: positive = {pos_text3}, negative = {neg_text3}, neutral = {neu_text3}')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "XN48tuule_ej", + "outputId": "42c04e87-27b5-4c6e-8bf6-897f65dd04db" + }, + "execution_count": 37, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Text 3: positive = 7, negative = 32, neutral = 23\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "---\n", + "### **STEP 9: Sentiment Probability - Sentence-level**\n", + "---\n", + "\n" + ], + "metadata": { + "id": "wJx-XDK6kfeG" + } + }, + { + "cell_type": "code", + "source": [ + "# Defining the probability estimation function for sentiment classification at the sentence-level\n", + "def sentence_sentiment_prob(usas_emo_tag):\n", + " sentiment_cls = {}\n", + " for sent, emo_dict in usas_emo_tag.items():\n", + " neg, pos, neu = 0, 0, 0\n", + " if(emo_dict):\n", + " for key, val_list in emo_dict.items():\n", + " for val in val_list:\n", + " if val.endswith('-'):\n", + " neg+=1\n", + " elif val.endswith('+'):\n", + " pos+=1\n", + " else:\n", + " neu+=1\n", + " else:\n", + " neu+=1\n", + " sentiment = f'positive={pos/(pos+neg+neu)}, negative={neg/(pos+neg+neu)}, neutral={neu/(pos+neg+neu)}'\n", + " sentiment_cls[sent] = sentiment\n", + " print(Fore.GREEN + Style.BRIGHT + \"Sentence:\", sent)\n", + " print(Fore.CYAN + Style.BRIGHT + \"class:\", sentiment)\n", + " print(\"\\n\")\n", + " print(Fore.CYAN + Style.BRIGHT + \"--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\")\n", + " return sentiment_cls" + ], + "metadata": { + "id": "HETN4470C-oC" + }, + "execution_count": 38, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Text 1 sentence-level sentiment probability\n", + "sentiment_prob_text1 = (sentence_sentiment_prob(text1_emo_tags))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "y-3Y92t5Ilrg", + "outputId": "32e3d6e3-13b4-4304-f5c9-cd16f16a4ad3" + }, + "execution_count": 39, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[32m\u001b[1mSentence: Hello comrades, just wanted to share my story after a surgery where i scored another goal against cancer and made it 3-0.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Hope it will be inspiring to somebody out there.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: I was diagnosed colon cancer in May 2020 when i had a major bleeding from you know where.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Before i know, 30 cm.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: of my colon was resected by the surgeons.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: The recovery was tough but manageable.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=1.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: The good part was that even though my tumor was large, the lymph nodes were clear, making me a stage 2.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: According to the doctors, i was clear and was one of the lucky ones that has cancer behind now with a new good bar story to tell.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: The score was 1-0 for me.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Yet, later i learned the hard way that this shit can travel via bloodstream too.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: In January 2021, my routine scanning came back with rather unpleasant news.\n", + "\u001b[36m\u001b[1mclass: positive=1.0, negative=0.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: I had several lesions on my liver and my world collapsed when the surgeon told me it was inoperable.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: I was now a stage 4 colon cancer with an inoperable liver metastasis and two little boys aged 3 and 5 that i can't leave fatherless.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: This was all during Corona lockdown days and my family and kids could not be with me all the time due to restrictions at the hospitals.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Nevertheless, i am not a quitter and i saw this as a new challenge that i need to beat.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=1.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: With low odds to start, i was free of any sign of cancer after 1,5 years long chemotherapy and radiotherapy that kicked my balls.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=1.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: I did not even need a liver surgery.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=1.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: The score was 2-0 now and we were crossing our fingers that it will never return.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: It didn't, but a completely seperate cancer was going to be my new challenge now.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=1.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Doctors were suspicious about my thyroid during another routine scanning.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: After additional screenings and needle biopsies, it turns out i have thyroid cancer now.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: I was like \"meh, this one is easy\".\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Yesterday, i have all my thyroids removed in a surgery.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: The tumor was already 2 cm.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: It is now 3-0.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: I don't know what is expecting me now but surely whatever comes next, i will fight the damn thing.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=1.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Meanwhile i will have preventive chemotherapy every 6 months and will keep enjoying raising my kids.\n", + "\u001b[36m\u001b[1mclass: positive=1.0, negative=0.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: So comrade, consider yours a challenge as well.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=1.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: You have the strength and optimism in you too no matter how hard life is.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Keep your head up and score.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "text2_emo_tags" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "hzWpnsunqy2b", + "outputId": "38d229a5-ee07-4583-a75a-5dcc5126c693" + }, + "execution_count": 40, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "{'Hi all,\\n\\nI’m 15 years old, and i was diagnosed with osteosarcoma in May of 2019.': {},\n", + " 'I did 18 rounds of chemo, a limb salvage surgery on my right leg and was given the all clear in February.': {'did': ['E3-']},\n", + " 'I recently found out I have relapsed after only three months in remission.': {},\n", + " 'My oncologist gave us another treatment plan which will involve 6 cycles of a different kind of chemotherapy and surgery to remove the nodules in my lungs.': {},\n", + " 'This time around I feel really scared and discouraged.': {'feel': ['E1'],\n", + " 'scared': ['E5-', 'E6-']},\n", + " 'I can do treatment again, i’ve done it before but I understand this time that the prognosis is much poorer especially with how fast i relapsed.': {'poorer': ['E4.1--']},\n", + " 'I had so many things planned for my life after treatment, i’ve been getting stronger in physical therapy and this just feels so unfair, i’m scared for what my future holds and i want to be a long term survivor so badly but I honestly feel cautious to be optimistic with the numbers my oncologist gave me.': {'getting': ['E4.1-'],\n", + " 'physical': ['E3-'],\n", + " 'feels': ['E1'],\n", + " 'scared': ['E5-', 'E6-'],\n", + " 'feel': ['E1'],\n", + " 'cautious': ['E6-']},\n", + " 'I’m not really sure why i’m posting this, i’ve never posted before but i think i’m just looking for reasons to keep going and stay positive from others in this community even when the odds are against me\\n\\nsending good luck and love to you all <3': {}}" + ] + }, + "metadata": {}, + "execution_count": 40 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Text 2 sentence-level sentiment probability\n", + "sentiment_prob_text2 = (sentence_sentiment_prob(text2_emo_tags))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "XEHzgLfqItiE", + "outputId": "9339d85e-c137-49bb-d830-bd6cb010495a" + }, + "execution_count": 41, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[32m\u001b[1mSentence: Hi all,\n", + "\n", + "I’m 15 years old, and i was diagnosed with osteosarcoma in May of 2019.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: I did 18 rounds of chemo, a limb salvage surgery on my right leg and was given the all clear in February.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=1.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: I recently found out I have relapsed after only three months in remission.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: My oncologist gave us another treatment plan which will involve 6 cycles of a different kind of chemotherapy and surgery to remove the nodules in my lungs.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: This time around I feel really scared and discouraged.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.6666666666666666, neutral=0.3333333333333333\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: I can do treatment again, i’ve done it before but I understand this time that the prognosis is much poorer especially with how fast i relapsed.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=1.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: I had so many things planned for my life after treatment, i’ve been getting stronger in physical therapy and this just feels so unfair, i’m scared for what my future holds and i want to be a long term survivor so badly but I honestly feel cautious to be optimistic with the numbers my oncologist gave me.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.7142857142857143, neutral=0.2857142857142857\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: I’m not really sure why i’m posting this, i’ve never posted before but i think i’m just looking for reasons to keep going and stay positive from others in this community even when the odds are against me\n", + "\n", + "sending good luck and love to you all <3\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Text 3 sentence-level sentiment probability\n", + "sentiment_prob_text3 = (sentence_sentiment_prob(text3_emo_tags))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Mi4RehswJG44", + "outputId": "93add8a4-a64a-492d-ee56-c4ef59eb52d5" + }, + "execution_count": 42, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[32m\u001b[1mSentence: Mom was diagnosed with stage 4 cancer back in June.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: She'd been feeling pain for some time but kept it to herself until it was too late.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.6666666666666666, neutral=0.3333333333333333\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: A biopsy later revealed it was breast cancer that had metastasized to her bones.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: The doctors gave her six months to live without treatment so Mom opted to start treatment right away, but due to poor health insurance, the current Covid epidemic, and the pitfalls of bureaucracy she didn't get into the hospital until over a month later.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=1.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Since her health was already deteriorating so fast she basically had lost the ability to walk on her own at this point.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: There was a tumor on her spine and the doctors said if she didn't have surgery to remove it soon that she would be paralyzed for the remainder of her life.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=1.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: She had a spinal fusion which went well and at this point we were all hopeful and talking about life after moving her back home to live with everyone.\n", + "\u001b[36m\u001b[1mclass: positive=1.0, negative=0.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Since time was of the essence and she and everyone in our family agreed that she wanted to pursue treatment, she was given hormone therapy and her first round of chemo within a week of her surgery.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Unfortunately, a few days later she developed pneumonia.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=1.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Shortly thereafter, she had developed sepsis and a host of other infections and was put on a ventilator.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: At this point the doctors were already recommending palliative care and taking her off the ventilator to \"die with dignity.\"\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=1.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: One by one her organs began to fail her.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: First her right lung collapsed.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Then her kidney started failing.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=1.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: And finally last night, I watched her die through a phone.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: For me, the worst part about this was that I couldn't be there for her in person.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: I live abroad in China, and do to the current epidemic I cannot come back here if I were to leave and go back to the States.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: I have a wife and family here, so I opted to stay with the hope that she would get better and I could visit next year.\n", + "\u001b[36m\u001b[1mclass: positive=0.5, negative=0.5, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Unfortunately, it didn't work out.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=1.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: She kept her eyes open the whole night until she finally fell asleep.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: I looked into her eyes and could see that she wasn't ready to go.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: My family that was with her were doing their best to send her off peacefully, but I got a little frustrated that they just kept offering her platitudes about going in peace, like they were just waiting for her to die, when it was so clear that she didn't want to go yet.\n", + "\u001b[36m\u001b[1mclass: positive=0.3333333333333333, negative=0.6666666666666666, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: In the aftermath, I'm feeling immense anger and guilt.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Anger towards a medical system that I view as having failed her.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=1.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: If she had never opted for treatment and just gotten palliative care, it's likely that she would have had more time and wouldn't have had to spend her last weeks on a ventilator in so much suffering.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=1.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Anger that we all trusted the doctors and yet she died within weeks of entering the hospital.\n", + "\u001b[36m\u001b[1mclass: positive=0.5, negative=0.5, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: I'm no doctor, but in hindsight it seems clear that she was too weak to start treatment and needed more time to recover from her surgery and really make an informed decision whether treatment was the best course of action.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=1.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: It feels like the whole situation was so rushed.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: And of course, guilt that I wasn't there for her in her greatest time of need.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: I'm her only son, and when she needed me most I wasn't there for her.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: We only got to have one conversation while she could still speak, and it was so rushed and hectic.\n", + "\u001b[36m\u001b[1mclass: positive=1.0, negative=0.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Thanks to China banning all foreigns apps, I could not communicate with her directly even with a VPN and had to rely on my Aunt who had WeChat to video with her.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Even though I got to say goodbye and speak with her at the end, it still doesn't feel the same as a real conversation would have.\n", + "\u001b[36m\u001b[1mclass: positive=0.3333333333333333, negative=0.3333333333333333, neutral=0.3333333333333333\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: I don't know if I will ever forgive myself for not going back to see her and hug her one last time.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: That's all I have to say.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: I don't have many friends so it helps to get these feelings off my chest anonymously.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.6666666666666666, neutral=0.3333333333333333\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Having experienced this first hand, I empathize so much more now with everyone here as I've been reading your experiences these last couple months.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=0.0, neutral=1.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[32m\u001b[1mSentence: Cancer is a scourge to mankind and there's no platitudes to ease the pain.\n", + "\u001b[36m\u001b[1mclass: positive=0.0, negative=1.0, neutral=0.0\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "---\n", + "### **STEP 10: Sentiment Probability -Text-level**\n", + "---\n", + "\n" + ], + "metadata": { + "id": "hzAEL9qZuCF6" + } + }, + { + "cell_type": "code", + "source": [ + "def text_sentiment_prob(text, pos, neg, neu):\n", + " prob = f'positive={pos/(pos+neg+neu)}, negative={neg/(pos+neg+neu)}, neutral={neu/(pos+neg+neu)}'\n", + " print(Fore.CYAN+ text)\n", + " print(Fore.GREEN+ \"----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\")\n", + " print(prob)\n", + " return prob" + ], + "metadata": { + "id": "rEjeBfSGv7Hh" + }, + "execution_count": 43, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "text1_prob = text_sentiment_prob(text_1, pos_text1, neg_text1, neu_text1)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "suy5TaIxw4WI", + "outputId": "b76aceb3-a36a-4fc8-fb77-001dbe6583c8" + }, + "execution_count": 44, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[36mHello comrades, just wanted to share my story after a surgery where i scored another goal against cancer and made it 3-0. Hope it will be inspiring to somebody out there.\n", + "\n", + "I was diagnosed colon cancer in May 2020 when i had a major bleeding from you know where. Before i know, 30 cm. of my colon was resected by the surgeons. The recovery was tough but manageable. The good part was that even though my tumor was large, the lymph nodes were clear, making me a stage 2. According to the doctors, i was clear and was one of the lucky ones that has cancer behind now with a new good bar story to tell. The score was 1-0 for me.\n", + "\n", + "Yet, later i learned the hard way that this shit can travel via bloodstream too. In January 2021, my routine scanning came back with rather unpleasant news. I had several lesions on my liver and my world collapsed when the surgeon told me it was inoperable. I was now a stage 4 colon cancer with an inoperable liver metastasis and two little boys aged 3 and 5 that i can't leave fatherless.\n", + "\n", + "This was all during Corona lockdown days and my family and kids could not be with me all the time due to restrictions at the hospitals.\n", + "\n", + "Nevertheless, i am not a quitter and i saw this as a new challenge that i need to beat. With low odds to start, i was free of any sign of cancer after 1,5 years long chemotherapy and radiotherapy that kicked my balls. I did not even need a liver surgery. The score was 2-0 now and we were crossing our fingers that it will never return.\n", + "\n", + "It didn't, but a completely seperate cancer was going to be my new challenge now. Doctors were suspicious about my thyroid during another routine scanning. After additional screenings and needle biopsies, it turns out i have thyroid cancer now. I was like \"meh, this one is easy\".\n", + "\n", + "Yesterday, i have all my thyroids removed in a surgery. The tumor was already 2 cm.\n", + "\n", + "It is now 3-0.\n", + "\n", + "I don't know what is expecting me now but surely whatever comes next, i will fight the damn thing. Meanwhile i will have preventive chemotherapy every 6 months and will keep enjoying raising my kids.\n", + "\n", + "So comrade, consider yours a challenge as well. You have the strength and optimism in you too no matter how hard life is. Keep your head up and score.\n", + "\u001b[32m----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "positive=0.08571428571428572, negative=0.3142857142857143, neutral=0.6\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "text2_prob = text_sentiment_prob(text_2, pos_text2, neg_text2, neu_text2)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "xMIDfBY0xDCh", + "outputId": "8db8ea93-54ec-4b5c-a062-7737aefe093d" + }, + "execution_count": 45, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[36mHi all,\n", + "\n", + "I’m 15 years old, and i was diagnosed with osteosarcoma in May of 2019. I did 18 rounds of chemo, a limb salvage surgery on my right leg and was given the all clear in February. I recently found out I have relapsed after only three months in remission.\n", + "\n", + "My oncologist gave us another treatment plan which will involve 6 cycles of a different kind of chemotherapy and surgery to remove the nodules in my lungs.\n", + "\n", + "This time around I feel really scared and discouraged. I can do treatment again, i’ve done it before but I understand this time that the prognosis is much poorer especially with how fast i relapsed. I had so many things planned for my life after treatment, i’ve been getting stronger in physical therapy and this just feels so unfair, i’m scared for what my future holds and i want to be a long term survivor so badly but I honestly feel cautious to be optimistic with the numbers my oncologist gave me.\n", + "\n", + "I’m not really sure why i’m posting this, i’ve never posted before but i think i’m just looking for reasons to keep going and stay positive from others in this community even when the odds are against me\n", + "\n", + "sending good luck and love to you all <3\n", + "\u001b[32m----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "positive=0.0, negative=0.5625, neutral=0.4375\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "text3_prob = text_sentiment_prob(text_3, pos_text3, neg_text3, neu_text3)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "-kmlh__ExDqG", + "outputId": "ae64de54-114d-4099-8629-9224712ee745" + }, + "execution_count": 46, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[36mMom was diagnosed with stage 4 cancer back in June. She'd been feeling pain for some time but kept it to herself until it was too late. A biopsy later revealed it was breast cancer that had metastasized to her bones. The doctors gave her six months to live without treatment so Mom opted to start treatment right away, but due to poor health insurance, the current Covid epidemic, and the pitfalls of bureaucracy she didn't get into the hospital until over a month later.\n", + "\n", + "Since her health was already deteriorating so fast she basically had lost the ability to walk on her own at this point. There was a tumor on her spine and the doctors said if she didn't have surgery to remove it soon that she would be paralyzed for the remainder of her life. She had a spinal fusion which went well and at this point we were all hopeful and talking about life after moving her back home to live with everyone.\n", + "Since time was of the essence and she and everyone in our family agreed that she wanted to pursue treatment, she was given hormone therapy and her first round of chemo within a week of her surgery. Unfortunately, a few days later she developed pneumonia. Shortly thereafter, she had developed sepsis and a host of other infections and was put on a ventilator. At this point the doctors were already recommending palliative care and taking her off the ventilator to \"die with dignity.\" One by one her organs began to fail her. First her right lung collapsed. Then her kidney started failing.\n", + "\n", + "And finally last night, I watched her die through a phone. For me, the worst part about this was that I couldn't be there for her in person. I live abroad in China, and do to the current epidemic I cannot come back here if I were to leave and go back to the States. I have a wife and family here, so I opted to stay with the hope that she would get better and I could visit next year. Unfortunately, it didn't work out.\n", + "\n", + "She kept her eyes open the whole night until she finally fell asleep. I looked into her eyes and could see that she wasn't ready to go. My family that was with her were doing their best to send her off peacefully, but I got a little frustrated that they just kept offering her platitudes about going in peace, like they were just waiting for her to die, when it was so clear that she didn't want to go yet.\n", + "\n", + "In the aftermath, I'm feeling immense anger and guilt. Anger towards a medical system that I view as having failed her. If she had never opted for treatment and just gotten palliative care, it's likely that she would have had more time and wouldn't have had to spend her last weeks on a ventilator in so much suffering. Anger that we all trusted the doctors and yet she died within weeks of entering the hospital. I'm no doctor, but in hindsight it seems clear that she was too weak to start treatment and needed more time to recover from her surgery and really make an informed decision whether treatment was the best course of action. It feels like the whole situation was so rushed.\n", + "\n", + "And of course, guilt that I wasn't there for her in her greatest time of need. I'm her only son, and when she needed me most I wasn't there for her. We only got to have one conversation while she could still speak, and it was so rushed and hectic. Thanks to China banning all foreigns apps, I could not communicate with her directly even with a VPN and had to rely on my Aunt who had WeChat to video with her. Even though I got to say goodbye and speak with her at the end, it still doesn't feel the same as a real conversation would have. I don't know if I will ever forgive myself for not going back to see her and hug her one last time.\n", + "\n", + "That's all I have to say. I don't have many friends so it helps to get these feelings off my chest anonymously. Having experienced this first hand, I empathize so much more now with everyone here as I've been reading your experiences these last couple months. Cancer is a scourge to mankind and there's no platitudes to ease the pain.\n", + "\u001b[32m----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "positive=0.11290322580645161, negative=0.5161290322580645, neutral=0.3709677419354839\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "---\n", + "# ⚛ **EMOTION ANALYSIS** ⚛\n", + "---\n", + "\n", + "\n", + "\n" + ], + "metadata": { + "id": "dEG_2aoPRSrB" + } + }, + { + "cell_type": "markdown", + "source": [ + "\n", + "---\n", + "\n", + "### **STEP 11: USAS Emotion Classification:** *usas_emotion_classifier function*\n", + "\n", + ">>**input:** piece of text\n", + "\n", + ">>**output:** python dictionary where *keys* represent a sentence in the input text and *values* represent a dictionary of usas emotion classes for that sentence\n", + "\n", + "---\n", + "\n" + ], + "metadata": { + "id": "lwRuvy24TaFR" + } + }, + { + "cell_type": "code", + "source": [ + "# Defining the emotion extraction function\n", + "def usas_emotion_classifier(text):\n", + " usas_eval_tags = {}\n", + " sentences = nltk.sent_tokenize(text)\n", + " for i in range(len(sentences)):\n", + " if(sentences[i]):\n", + " usas_list = {}\n", + " sent = nlp(sentences[i])\n", + " print(\"\\n\")\n", + " print(Fore.CYAN + Style.BRIGHT + \"--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\")\n", + " print(Fore.CYAN + Style.BRIGHT + f\"Sentence {i}:\", sentences[i])\n", + " for token in sent:\n", + " tags = token._.pymusas_tags\n", + " emo_tags = [x for x in tags if x.startswith('E')]\n", + " emo_cls = [usas_emo_cls_dict[tag[:-1]] if (tag[-2]==\"+\") or (tag[-2]==\"-\") else usas_emo_cls_dict[tag] for tag in emo_tags]\n", + " if emo_tags:\n", + " usas_list[token.text] = emo_cls\n", + " print(Fore.CYAN + Style.BRIGHT + f'{token.text}:' + Fore.GREEN, emo_tags)\n", + " print(Fore.CYAN + Style.BRIGHT + 'class:' + Fore.RED, emo_cls)\n", + " usas_eval_tags[sentences[i]] = usas_list\n", + " return usas_eval_tags" + ], + "metadata": { + "id": "zrrH11FCRRu9" + }, + "execution_count": 47, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Text 1 emotion extraction sentence level\n", + "text1_emotion_cls = usas_emotion_classifier(text_1)" + ], + "metadata": { + "id": "zCiek3TRM72N", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "8d832932-68c9-4aad-adab-ed15e95d8b5d" + }, + "execution_count": 48, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 0: Hello comrades, just wanted to share my story after a surgery where i scored another goal against cancer and made it 3-0.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 1: Hope it will be inspiring to somebody out there.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 2: I was diagnosed colon cancer in May 2020 when i had a major bleeding from you know where.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 3: Before i know, 30 cm.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 4: of my colon was resected by the surgeons.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 5: The recovery was tough but manageable.\n", + "\u001b[36m\u001b[1mtough:\u001b[32m ['E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Violent/Angry']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 6: The good part was that even though my tumor was large, the lymph nodes were clear, making me a stage 2.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 7: According to the doctors, i was clear and was one of the lucky ones that has cancer behind now with a new good bar story to tell.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 8: The score was 1-0 for me.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 9: Yet, later i learned the hard way that this shit can travel via bloodstream too.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 10: In January 2021, my routine scanning came back with rather unpleasant news.\n", + "\u001b[36m\u001b[1mrather:\u001b[32m ['E2++']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Like']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 11: I had several lesions on my liver and my world collapsed when the surgeon told me it was inoperable.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 12: I was now a stage 4 colon cancer with an inoperable liver metastasis and two little boys aged 3 and 5 that i can't leave fatherless.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 13: This was all during Corona lockdown days and my family and kids could not be with me all the time due to restrictions at the hospitals.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 14: Nevertheless, i am not a quitter and i saw this as a new challenge that i need to beat.\n", + "\u001b[36m\u001b[1mchallenge:\u001b[32m ['E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Violent/Angry']\n", + "\u001b[36m\u001b[1mbeat:\u001b[32m ['E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Violent/Angry']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 15: With low odds to start, i was free of any sign of cancer after 1,5 years long chemotherapy and radiotherapy that kicked my balls.\n", + "\u001b[36m\u001b[1mlow:\u001b[32m ['E4.1-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Sad']\n", + "\u001b[36m\u001b[1mstart:\u001b[32m ['E5-', 'E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Fear/shock', 'Violent/Angry']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 16: I did not even need a liver surgery.\n", + "\u001b[36m\u001b[1mdid:\u001b[32m ['E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Violent/Angry']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 17: The score was 2-0 now and we were crossing our fingers that it will never return.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 18: It didn't, but a completely seperate cancer was going to be my new challenge now.\n", + "\u001b[36m\u001b[1mdid:\u001b[32m ['E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Violent/Angry']\n", + "\u001b[36m\u001b[1mchallenge:\u001b[32m ['E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Violent/Angry']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 19: Doctors were suspicious about my thyroid during another routine scanning.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 20: After additional screenings and needle biopsies, it turns out i have thyroid cancer now.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 21: I was like \"meh, this one is easy\".\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 22: Yesterday, i have all my thyroids removed in a surgery.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 23: The tumor was already 2 cm.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 24: It is now 3-0.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 25: I don't know what is expecting me now but surely whatever comes next, i will fight the damn thing.\n", + "\u001b[36m\u001b[1mfight:\u001b[32m ['E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Violent/Angry']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 26: Meanwhile i will have preventive chemotherapy every 6 months and will keep enjoying raising my kids.\n", + "\u001b[36m\u001b[1menjoying:\u001b[32m ['E2+', 'E4.1+']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Like', 'Happy']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 27: So comrade, consider yours a challenge as well.\n", + "\u001b[36m\u001b[1mchallenge:\u001b[32m ['E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Violent/Angry']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 28: You have the strength and optimism in you too no matter how hard life is.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 29: Keep your head up and score.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Text 1 output usas emotion classes\n", + "text1_emotion_cls" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "TCNeQVTbeIRf", + "outputId": "6ede3332-9a97-4115-e75f-2814e2f8fb7d" + }, + "execution_count": 49, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "{'Hello comrades, just wanted to share my story after a surgery where i scored another goal against cancer and made it 3-0.': {},\n", + " 'Hope it will be inspiring to somebody out there.': {},\n", + " 'I was diagnosed colon cancer in May 2020 when i had a major bleeding from you know where.': {},\n", + " 'Before i know, 30 cm.': {},\n", + " 'of my colon was resected by the surgeons.': {},\n", + " 'The recovery was tough but manageable.': {'tough': ['Violent/Angry']},\n", + " 'The good part was that even though my tumor was large, the lymph nodes were clear, making me a stage 2.': {},\n", + " 'According to the doctors, i was clear and was one of the lucky ones that has cancer behind now with a new good bar story to tell.': {},\n", + " 'The score was 1-0 for me.': {},\n", + " 'Yet, later i learned the hard way that this shit can travel via bloodstream too.': {},\n", + " 'In January 2021, my routine scanning came back with rather unpleasant news.': {'rather': ['Like']},\n", + " 'I had several lesions on my liver and my world collapsed when the surgeon told me it was inoperable.': {},\n", + " \"I was now a stage 4 colon cancer with an inoperable liver metastasis and two little boys aged 3 and 5 that i can't leave fatherless.\": {},\n", + " 'This was all during Corona lockdown days and my family and kids could not be with me all the time due to restrictions at the hospitals.': {},\n", + " 'Nevertheless, i am not a quitter and i saw this as a new challenge that i need to beat.': {'challenge': ['Violent/Angry'],\n", + " 'beat': ['Violent/Angry']},\n", + " 'With low odds to start, i was free of any sign of cancer after 1,5 years long chemotherapy and radiotherapy that kicked my balls.': {'low': ['Sad'],\n", + " 'start': ['Fear/shock', 'Violent/Angry']},\n", + " 'I did not even need a liver surgery.': {'did': ['Violent/Angry']},\n", + " 'The score was 2-0 now and we were crossing our fingers that it will never return.': {},\n", + " \"It didn't, but a completely seperate cancer was going to be my new challenge now.\": {'did': ['Violent/Angry'],\n", + " 'challenge': ['Violent/Angry']},\n", + " 'Doctors were suspicious about my thyroid during another routine scanning.': {},\n", + " 'After additional screenings and needle biopsies, it turns out i have thyroid cancer now.': {},\n", + " 'I was like \"meh, this one is easy\".': {},\n", + " 'Yesterday, i have all my thyroids removed in a surgery.': {},\n", + " 'The tumor was already 2 cm.': {},\n", + " 'It is now 3-0.': {},\n", + " \"I don't know what is expecting me now but surely whatever comes next, i will fight the damn thing.\": {'fight': ['Violent/Angry']},\n", + " 'Meanwhile i will have preventive chemotherapy every 6 months and will keep enjoying raising my kids.': {'enjoying': ['Like',\n", + " 'Happy']},\n", + " 'So comrade, consider yours a challenge as well.': {'challenge': ['Violent/Angry']},\n", + " 'You have the strength and optimism in you too no matter how hard life is.': {},\n", + " 'Keep your head up and score.': {}}" + ] + }, + "metadata": {}, + "execution_count": 49 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Text 2 emotion extraction sentence level\n", + "text2_emotion_cls = usas_emotion_classifier(text_2)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "uVktQDdneNLy", + "outputId": "6d0735f8-4094-4093-e3c9-01cb94cf8ca2" + }, + "execution_count": 50, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 0: Hi all,\n", + "\n", + "I’m 15 years old, and i was diagnosed with osteosarcoma in May of 2019.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 1: I did 18 rounds of chemo, a limb salvage surgery on my right leg and was given the all clear in February.\n", + "\u001b[36m\u001b[1mdid:\u001b[32m ['E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Violent/Angry']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 2: I recently found out I have relapsed after only three months in remission.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 3: My oncologist gave us another treatment plan which will involve 6 cycles of a different kind of chemotherapy and surgery to remove the nodules in my lungs.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 4: This time around I feel really scared and discouraged.\n", + "\u001b[36m\u001b[1mfeel:\u001b[32m ['E1']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Emotional Actions, States And Processes General']\n", + "\u001b[36m\u001b[1mscared:\u001b[32m ['E5-', 'E6-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Fear/shock', 'Worry']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 5: I can do treatment again, i’ve done it before but I understand this time that the prognosis is much poorer especially with how fast i relapsed.\n", + "\u001b[36m\u001b[1mpoorer:\u001b[32m ['E4.1--']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Sad']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 6: I had so many things planned for my life after treatment, i’ve been getting stronger in physical therapy and this just feels so unfair, i’m scared for what my future holds and i want to be a long term survivor so badly but I honestly feel cautious to be optimistic with the numbers my oncologist gave me.\n", + "\u001b[36m\u001b[1mgetting:\u001b[32m ['E4.1-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Sad']\n", + "\u001b[36m\u001b[1mphysical:\u001b[32m ['E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Violent/Angry']\n", + "\u001b[36m\u001b[1mfeels:\u001b[32m ['E1']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Emotional Actions, States And Processes General']\n", + "\u001b[36m\u001b[1mscared:\u001b[32m ['E5-', 'E6-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Fear/shock', 'Worry']\n", + "\u001b[36m\u001b[1mfeel:\u001b[32m ['E1']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Emotional Actions, States And Processes General']\n", + "\u001b[36m\u001b[1mcautious:\u001b[32m ['E6-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Worry']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 7: I’m not really sure why i’m posting this, i’ve never posted before but i think i’m just looking for reasons to keep going and stay positive from others in this community even when the odds are against me\n", + "\n", + "sending good luck and love to you all <3\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Text 2 output usas emotion classes\n", + "text2_emotion_cls" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Tu-JsUYSeN0h", + "outputId": "3b56e0b9-e556-42b2-dbb8-26bf4ae94c47" + }, + "execution_count": 51, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "{'Hi all,\\n\\nI’m 15 years old, and i was diagnosed with osteosarcoma in May of 2019.': {},\n", + " 'I did 18 rounds of chemo, a limb salvage surgery on my right leg and was given the all clear in February.': {'did': ['Violent/Angry']},\n", + " 'I recently found out I have relapsed after only three months in remission.': {},\n", + " 'My oncologist gave us another treatment plan which will involve 6 cycles of a different kind of chemotherapy and surgery to remove the nodules in my lungs.': {},\n", + " 'This time around I feel really scared and discouraged.': {'feel': ['Emotional Actions, States And Processes General'],\n", + " 'scared': ['Fear/shock', 'Worry']},\n", + " 'I can do treatment again, i’ve done it before but I understand this time that the prognosis is much poorer especially with how fast i relapsed.': {'poorer': ['Sad']},\n", + " 'I had so many things planned for my life after treatment, i’ve been getting stronger in physical therapy and this just feels so unfair, i’m scared for what my future holds and i want to be a long term survivor so badly but I honestly feel cautious to be optimistic with the numbers my oncologist gave me.': {'getting': ['Sad'],\n", + " 'physical': ['Violent/Angry'],\n", + " 'feels': ['Emotional Actions, States And Processes General'],\n", + " 'scared': ['Fear/shock', 'Worry'],\n", + " 'feel': ['Emotional Actions, States And Processes General'],\n", + " 'cautious': ['Worry']},\n", + " 'I’m not really sure why i’m posting this, i’ve never posted before but i think i’m just looking for reasons to keep going and stay positive from others in this community even when the odds are against me\\n\\nsending good luck and love to you all <3': {}}" + ] + }, + "metadata": {}, + "execution_count": 51 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Text 3 emotion extraction sentence level\n", + "text3_emotion_cls = usas_emotion_classifier(text_3)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "VQB5NipAecvj", + "outputId": "0acbeb13-133f-4e17-d374-d9bea25edaee" + }, + "execution_count": 52, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 0: Mom was diagnosed with stage 4 cancer back in June.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 1: She'd been feeling pain for some time but kept it to herself until it was too late.\n", + "\u001b[36m\u001b[1mfeeling:\u001b[32m ['E1']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Emotional Actions, States And Processes General']\n", + "\u001b[36m\u001b[1mpain:\u001b[32m ['E2-', 'E4.1-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Dislike', 'Sad']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 2: A biopsy later revealed it was breast cancer that had metastasized to her bones.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 3: The doctors gave her six months to live without treatment so Mom opted to start treatment right away, but due to poor health insurance, the current Covid epidemic, and the pitfalls of bureaucracy she didn't get into the hospital until over a month later.\n", + "\u001b[36m\u001b[1mstart:\u001b[32m ['E5-', 'E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Fear/shock', 'Violent/Angry']\n", + "\u001b[36m\u001b[1mpoor:\u001b[32m ['E4.1-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Sad']\n", + "\u001b[36m\u001b[1mdid:\u001b[32m ['E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Violent/Angry']\n", + "\u001b[36m\u001b[1mget:\u001b[32m ['E4.1-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Sad']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 4: Since her health was already deteriorating so fast she basically had lost the ability to walk on her own at this point.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 5: There was a tumor on her spine and the doctors said if she didn't have surgery to remove it soon that she would be paralyzed for the remainder of her life.\n", + "\u001b[36m\u001b[1mdid:\u001b[32m ['E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Violent/Angry']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 6: She had a spinal fusion which went well and at this point we were all hopeful and talking about life after moving her back home to live with everyone.\n", + "\u001b[36m\u001b[1mhopeful:\u001b[32m ['E4.1+']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Happy']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 7: Since time was of the essence and she and everyone in our family agreed that she wanted to pursue treatment, she was given hormone therapy and her first round of chemo within a week of her surgery.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 8: Unfortunately, a few days later she developed pneumonia.\n", + "\u001b[36m\u001b[1mUnfortunately:\u001b[32m ['E4.1-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Sad']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 9: Shortly thereafter, she had developed sepsis and a host of other infections and was put on a ventilator.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 10: At this point the doctors were already recommending palliative care and taking her off the ventilator to \"die with dignity.\"\n", + "\u001b[36m\u001b[1mcare:\u001b[32m ['E6-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Worry']\n", + "\u001b[36m\u001b[1moff:\u001b[32m ['E2-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Dislike']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 11: One by one her organs began to fail her.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 12: First her right lung collapsed.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 13: Then her kidney started failing.\n", + "\u001b[36m\u001b[1mstarted:\u001b[32m ['E5-', 'E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Fear/shock', 'Violent/Angry']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 14: And finally last night, I watched her die through a phone.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 15: For me, the worst part about this was that I couldn't be there for her in person.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 16: I live abroad in China, and do to the current epidemic I cannot come back here if I were to leave and go back to the States.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 17: I have a wife and family here, so I opted to stay with the hope that she would get better and I could visit next year.\n", + "\u001b[36m\u001b[1mhope:\u001b[32m ['E4.1+']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Happy']\n", + "\u001b[36m\u001b[1mget:\u001b[32m ['E4.1-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Sad']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 18: Unfortunately, it didn't work out.\n", + "\u001b[36m\u001b[1mUnfortunately:\u001b[32m ['E4.1-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Sad']\n", + "\u001b[36m\u001b[1mdid:\u001b[32m ['E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Violent/Angry']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 19: She kept her eyes open the whole night until she finally fell asleep.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 20: I looked into her eyes and could see that she wasn't ready to go.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 21: My family that was with her were doing their best to send her off peacefully, but I got a little frustrated that they just kept offering her platitudes about going in peace, like they were just waiting for her to die, when it was so clear that she didn't want to go yet.\n", + "\u001b[36m\u001b[1moff:\u001b[32m ['E2-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Dislike']\n", + "\u001b[36m\u001b[1mpeacefully:\u001b[32m ['E3+']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Calm']\n", + "\u001b[36m\u001b[1mgot:\u001b[32m ['E4.1-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Sad']\n", + "\u001b[36m\u001b[1mfrustrated:\u001b[32m ['E4.2-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Discontent']\n", + "\u001b[36m\u001b[1mpeace:\u001b[32m ['E3+']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Calm']\n", + "\u001b[36m\u001b[1mdid:\u001b[32m ['E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Violent/Angry']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 22: In the aftermath, I'm feeling immense anger and guilt.\n", + "\u001b[36m\u001b[1mfeeling:\u001b[32m ['E1']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Emotional Actions, States And Processes General']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 23: Anger towards a medical system that I view as having failed her.\n", + "\u001b[36m\u001b[1mAnger:\u001b[32m ['E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Violent/Angry']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 24: If she had never opted for treatment and just gotten palliative care, it's likely that she would have had more time and wouldn't have had to spend her last weeks on a ventilator in so much suffering.\n", + "\u001b[36m\u001b[1mcare:\u001b[32m ['E6-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Worry']\n", + "\u001b[36m\u001b[1msuffering:\u001b[32m ['E4.1-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Sad']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 25: Anger that we all trusted the doctors and yet she died within weeks of entering the hospital.\n", + "\u001b[36m\u001b[1mAnger:\u001b[32m ['E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Violent/Angry']\n", + "\u001b[36m\u001b[1mtrusted:\u001b[32m ['E6+']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Confident']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 26: I'm no doctor, but in hindsight it seems clear that she was too weak to start treatment and needed more time to recover from her surgery and really make an informed decision whether treatment was the best course of action.\n", + "\u001b[36m\u001b[1mstart:\u001b[32m ['E5-', 'E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Fear/shock', 'Violent/Angry']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 27: It feels like the whole situation was so rushed.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 28: And of course, guilt that I wasn't there for her in her greatest time of need.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 29: I'm her only son, and when she needed me most I wasn't there for her.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 30: We only got to have one conversation while she could still speak, and it was so rushed and hectic.\n", + "\u001b[36m\u001b[1mstill:\u001b[32m ['E3+']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Calm']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 31: Thanks to China banning all foreigns apps, I could not communicate with her directly even with a VPN and had to rely on my Aunt who had WeChat to video with her.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 32: Even though I got to say goodbye and speak with her at the end, it still doesn't feel the same as a real conversation would have.\n", + "\u001b[36m\u001b[1mstill:\u001b[32m ['E3+']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Calm']\n", + "\u001b[36m\u001b[1mdoes:\u001b[32m ['E3-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Violent/Angry']\n", + "\u001b[36m\u001b[1mfeel:\u001b[32m ['E1']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Emotional Actions, States And Processes General']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 33: I don't know if I will ever forgive myself for not going back to see her and hug her one last time.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 34: That's all I have to say.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 35: I don't have many friends so it helps to get these feelings off my chest anonymously.\n", + "\u001b[36m\u001b[1mget:\u001b[32m ['E4.1-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Sad']\n", + "\u001b[36m\u001b[1mfeelings:\u001b[32m ['E1']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Emotional Actions, States And Processes General']\n", + "\u001b[36m\u001b[1moff:\u001b[32m ['E2-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Dislike']\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 36: Having experienced this first hand, I empathize so much more now with everyone here as I've been reading your experiences these last couple months.\n", + "\n", + "\n", + "\u001b[36m\u001b[1m--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", + "\u001b[36m\u001b[1mSentence 37: Cancer is a scourge to mankind and there's no platitudes to ease the pain.\n", + "\u001b[36m\u001b[1mscourge:\u001b[32m ['E6-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Worry']\n", + "\u001b[36m\u001b[1mpain:\u001b[32m ['E2-', 'E4.1-']\n", + "\u001b[36m\u001b[1mclass:\u001b[31m ['Dislike', 'Sad']\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Text 3 output usas emotion classes\n", + "text3_emotion_cls" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "nE_FTuRcefZW", + "outputId": "c867a39f-4457-41fd-f689-5ac4cfad84f9" + }, + "execution_count": 53, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "{'Mom was diagnosed with stage 4 cancer back in June.': {},\n", + " \"She'd been feeling pain for some time but kept it to herself until it was too late.\": {'feeling': ['Emotional Actions, States And Processes General'],\n", + " 'pain': ['Dislike', 'Sad']},\n", + " 'A biopsy later revealed it was breast cancer that had metastasized to her bones.': {},\n", + " \"The doctors gave her six months to live without treatment so Mom opted to start treatment right away, but due to poor health insurance, the current Covid epidemic, and the pitfalls of bureaucracy she didn't get into the hospital until over a month later.\": {'start': ['Fear/shock',\n", + " 'Violent/Angry'],\n", + " 'poor': ['Sad'],\n", + " 'did': ['Violent/Angry'],\n", + " 'get': ['Sad']},\n", + " 'Since her health was already deteriorating so fast she basically had lost the ability to walk on her own at this point.': {},\n", + " \"There was a tumor on her spine and the doctors said if she didn't have surgery to remove it soon that she would be paralyzed for the remainder of her life.\": {'did': ['Violent/Angry']},\n", + " 'She had a spinal fusion which went well and at this point we were all hopeful and talking about life after moving her back home to live with everyone.': {'hopeful': ['Happy']},\n", + " 'Since time was of the essence and she and everyone in our family agreed that she wanted to pursue treatment, she was given hormone therapy and her first round of chemo within a week of her surgery.': {},\n", + " 'Unfortunately, a few days later she developed pneumonia.': {'Unfortunately': ['Sad']},\n", + " 'Shortly thereafter, she had developed sepsis and a host of other infections and was put on a ventilator.': {},\n", + " 'At this point the doctors were already recommending palliative care and taking her off the ventilator to \"die with dignity.\"': {'care': ['Worry'],\n", + " 'off': ['Dislike']},\n", + " 'One by one her organs began to fail her.': {},\n", + " 'First her right lung collapsed.': {},\n", + " 'Then her kidney started failing.': {'started': ['Fear/shock',\n", + " 'Violent/Angry']},\n", + " 'And finally last night, I watched her die through a phone.': {},\n", + " \"For me, the worst part about this was that I couldn't be there for her in person.\": {},\n", + " 'I live abroad in China, and do to the current epidemic I cannot come back here if I were to leave and go back to the States.': {},\n", + " 'I have a wife and family here, so I opted to stay with the hope that she would get better and I could visit next year.': {'hope': ['Happy'],\n", + " 'get': ['Sad']},\n", + " \"Unfortunately, it didn't work out.\": {'Unfortunately': ['Sad'],\n", + " 'did': ['Violent/Angry']},\n", + " 'She kept her eyes open the whole night until she finally fell asleep.': {},\n", + " \"I looked into her eyes and could see that she wasn't ready to go.\": {},\n", + " \"My family that was with her were doing their best to send her off peacefully, but I got a little frustrated that they just kept offering her platitudes about going in peace, like they were just waiting for her to die, when it was so clear that she didn't want to go yet.\": {'off': ['Dislike'],\n", + " 'peacefully': ['Calm'],\n", + " 'got': ['Sad'],\n", + " 'frustrated': ['Discontent'],\n", + " 'peace': ['Calm'],\n", + " 'did': ['Violent/Angry']},\n", + " \"In the aftermath, I'm feeling immense anger and guilt.\": {'feeling': ['Emotional Actions, States And Processes General']},\n", + " 'Anger towards a medical system that I view as having failed her.': {'Anger': ['Violent/Angry']},\n", + " \"If she had never opted for treatment and just gotten palliative care, it's likely that she would have had more time and wouldn't have had to spend her last weeks on a ventilator in so much suffering.\": {'care': ['Worry'],\n", + " 'suffering': ['Sad']},\n", + " 'Anger that we all trusted the doctors and yet she died within weeks of entering the hospital.': {'Anger': ['Violent/Angry'],\n", + " 'trusted': ['Confident']},\n", + " \"I'm no doctor, but in hindsight it seems clear that she was too weak to start treatment and needed more time to recover from her surgery and really make an informed decision whether treatment was the best course of action.\": {'start': ['Fear/shock',\n", + " 'Violent/Angry']},\n", + " 'It feels like the whole situation was so rushed.': {},\n", + " \"And of course, guilt that I wasn't there for her in her greatest time of need.\": {},\n", + " \"I'm her only son, and when she needed me most I wasn't there for her.\": {},\n", + " 'We only got to have one conversation while she could still speak, and it was so rushed and hectic.': {'still': ['Calm']},\n", + " 'Thanks to China banning all foreigns apps, I could not communicate with her directly even with a VPN and had to rely on my Aunt who had WeChat to video with her.': {},\n", + " \"Even though I got to say goodbye and speak with her at the end, it still doesn't feel the same as a real conversation would have.\": {'still': ['Calm'],\n", + " 'does': ['Violent/Angry'],\n", + " 'feel': ['Emotional Actions, States And Processes General']},\n", + " \"I don't know if I will ever forgive myself for not going back to see her and hug her one last time.\": {},\n", + " \"That's all I have to say.\": {},\n", + " \"I don't have many friends so it helps to get these feelings off my chest anonymously.\": {'get': ['Sad'],\n", + " 'feelings': ['Emotional Actions, States And Processes General'],\n", + " 'off': ['Dislike']},\n", + " \"Having experienced this first hand, I empathize so much more now with everyone here as I've been reading your experiences these last couple months.\": {},\n", + " \"Cancer is a scourge to mankind and there's no platitudes to ease the pain.\": {'scourge': ['Worry'],\n", + " 'pain': ['Dislike', 'Sad']}}" + ] + }, + "metadata": {}, + "execution_count": 53 + } + ] + } + ] +} \ No newline at end of file