toxic_comments_classification.ipynb

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      "name": "toxic_comments_classification.ipynb",
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      "source": [
        "import pandas as pd\n",
        "import re\n",
        "from nltk.tokenize import word_tokenize\n",
        "\n",
        "from nltk.stem import SnowballStemmer\n",
        "\n",
        "from nltk.corpus import stopwords\n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "import re\n",
        "from sklearn.naive_bayes import MultinomialNB\n",
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "from sklearn.tree import DecisionTreeClassifier"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv('toxic_baby.csv')\n",
        "df"
      ],
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              "                                          comment_text  toxic\n",
              "0    Explanation\\nWhy the edits made under my usern...      0\n",
              "1    D'aww! He matches this background colour I'm s...      0\n",
              "2    Hey man, I'm really not trying to edit war. It...      0\n",
              "3    \"\\nMore\\nI can't make any real suggestions on ...      0\n",
              "4    You, sir, are my hero. Any chance you remember...      0\n",
              "..                                                 ...    ...\n",
              "495  Sarek of Vulcan: Unfortunately for you, you ca...      0\n",
              "496  Keep your chin up! Darwinism was not accepted ...      0\n",
              "497  \"\"\"Nazi filth\"\" is impolite  04:27, 20 Jan 200...      1\n",
              "498  Interesting. I checked the other case number K...      0\n",
              "499  The transcluded part of the GA review doesn't ...      0\n",
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              "      <th>497</th>\n",
              "      <td>\"\"\"Nazi filth\"\" is impolite  04:27, 20 Jan 200...</td>\n",
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      "cell_type": "markdown",
      "source": [
        "DATA PREPROCESSING"
      ],
      "metadata": {
        "id": "fbvHQcCVqsO2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# checking null values\n",
        "df.isna().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZaO9GAtbqgK5",
        "outputId": "faf9c85e-27eb-4a1e-a3a4-a0556612156f"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "comment_text    0\n",
              "toxic           0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "nltk.download('stopwords')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "j7hlNMhVr8jb",
        "outputId": "de80470e-f822-4855-be0b-23b4e5e5a0eb"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# dropping special character\n",
        "df['comment_text'] = df['comment_text'].map(lambda x: re.sub(r'\\W+', ' ', x))\n",
        "\n",
        "# converting to small case\n",
        "df['comment_text'] = df['comment_text'].str.lower()\n",
        "\n",
        "\n",
        "# dropping stop words\n",
        "# and performing stemming\n",
        "\n",
        "stop_words = set(stopwords.words('english'))"
      ],
      "metadata": {
        "id": "zIUMgS-AqgHV"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "nltk.download('punkt')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7DO_9S8JsT6P",
        "outputId": "e5fdebe7-0aca-4591-e2ab-3517154ec1f9"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Unzipping tokenizers/punkt.zip.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "i = 0\n",
        "\n",
        "for index, values in df.iterrows():\n",
        "    text_tokens = word_tokenize(values.comment_text)\n",
        "    tokens_without_sw = [word for word in text_tokens if not word in stop_words]\n",
        "\n",
        "    # using snowball stemmer\n",
        "    stm = SnowballStemmer(language='english')\n",
        "    li = []\n",
        "    for st in tokens_without_sw:\n",
        "        x = stm.stem(st)\n",
        "        li.append(x)\n",
        "\n",
        "    stri = ' '.join(li)\n",
        "    df.iloc[[i], [0]] = (stri)\n",
        "\n",
        "    i = i + 1\n",
        "\n",
        "    if i == 500:\n",
        "        break"
      ],
      "metadata": {
        "id": "pq3JMH5HqgEf"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Model Building"
      ],
      "metadata": {
        "id": "uL0VJbQUsYku"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "x = df['comment_text'] #independent feature\n",
        "y = df['toxic'] #dependent feature"
      ],
      "metadata": {
        "id": "Z0qFZrkRqgB5"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Train Test Split"
      ],
      "metadata": {
        "id": "j_ZjhG2osrrR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "X_train, X_test, y_train, y_test = train_test_split(x, y, test_size=0.2)\n",
        "\n",
        "# print(len(X_train))\n",
        "# print(len(X_test))"
      ],
      "metadata": {
        "id": "eXC9kqx3qf_D"
      },
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# converting comment_text column into text\n",
        "v = CountVectorizer() #it generates unique features\n",
        "x_train_count = v.fit_transform(X_train.values)"
      ],
      "metadata": {
        "id": "SqikHHM3qf8e"
      },
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# unique feature names\n",
        "print(v.get_feature_names())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BnRmW2goqf6A",
        "outputId": "b380ba4b-0512-4fb7-b042-28630d5d2191"
      },
      "execution_count": 24,
      "outputs": [
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          "name": "stdout",
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'mess', 'messag', 'messier', 'met', 'meta', 'metal', 'metallica', 'metamorph', 'metaphor', 'method', 'metro', 'metropolitan_of_moscow_makariy_nevskiy', 'mexico', 'meyour', 'meštrović', 'meːn', 'michael', 'michel', 'middl', 'middlema', 'might', 'migrant', 'migrat', 'mijović', 'milemoney', 'mileston', 'militari', 'miljenko', 'million', 'mind', 'mindless', 'mindmatrix', 'mine', 'miner', 'minim', 'minion', 'minor', 'minut', 'miošić', 'mis', 'miscarriag', 'misconcept', 'misinterpret', 'mislead', 'mismatch', 'misread', 'miss', 'mission', 'mistak', 'misus', 'mitch', 'mitsurugi', 'mixtur', 'miz', 'ml', 'mmitra', 'mmr', 'moar', 'mobil', 'moder', 'modern', 'modernist', 'modul', 'mofo', 'mom', 'moment', 'monarchi', 'money', 'montdal', 'montenegro', 'montenenegro', 'month', 'montreal', 'moonlit', 'moradabad', 'moral', 'moreov', 'moroccan', 'moron', 'morrissey', 'moscap', 'moscow', 'most', 'mostv', 'mother', 'motherfucker111lol', 'motiejus', 'motiv', 'mountain', 'mourinho', 'mouth', 'move', 'movement', 'movi', 'mp3', 'mr', 'mrph', 'mrsc', 'much', 'muchacho', 'muck', 'mulder', 'multipl', 'multiplay', 'mum', 'mundo', 'murder', 'murko', 'murkoth', 'music', 'muslim', 'mussolini', 'must', 'mutual', 'mykola', 'myth', 'mytholog', 'mythomania', 'm²', 'm³', 'na', 'naimark', 'nake', 'name', 'nanotub', 'napl', 'narodn', 'nasal', 'nasti', 'nat', 'nation', 'nationalist', 'nativ', 'nato', 'natur', 'nazi', 'nbn', 'near', 'nearest', 'necess', 'necessari', 'necessarili', 'ned', 'need', 'need_help', 'needham', 'neff', 'negat', 'neglig', 'neither', 'nelson', 'neo', 'neolith', 'neolog', 'neologislm', 'nerv', 'net', 'neutral', 'neutron', 'never', 'nevertheless', 'new', 'newbi', 'newcastl', 'newest', 'newfound', 'news', 'newslett', 'newspap', 'next', 'nice', 'nici', 'nigger', 'night', 'nis', 'nist', 'nobel', 'nobl', 'nobodi', 'nomin', 'non', 'none', 'nonsens', 'noodl', 'noon', 'nope', 'normal', 'norman', 'north', 'northern', 'noseptemb', 'nostril', 'notabl', 'notable122', 'note', 'noth', 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'owner', 'ox', 'pa51', 'pa70', 'paark', 'pacif', 'page', 'page8', 'paghman', 'pai', 'paid', 'paint', 'painter', 'pair', 'pal', 'paleontologist', 'pancrea', 'pandem', 'paper', 'paradox', 'paragraph', 'parallel', 'paramount', 'park', 'parker', 'parliament', 'parliamentari', 'parodi', 'part', 'parti', 'particl', 'particular', 'parzival418', 'pashtun', 'pass', 'passag', 'passiv', 'password', 'past', 'pastri', 'pat', 'patent', 'patient', 'patrickflaherti', 'paul', 'paula', 'pay', 'payload', 'paí', 'pd', 'pdf', 'peac', 'peacock', 'peasant', 'pediment', 'pedophilia', 'peer', 'peic', 'peiser', 'pend', 'peni', 'pentagram', 'peopl', 'per', 'perceiv', 'percent', 'perfect', 'perform', 'perhap', 'period', 'peripher', 'perman', 'perminer', 'permiss', 'permit', 'persist', 'person', 'personnel', 'pertain', 'pertrub', 'pervers', 'pes', 'pet', 'petar', 'pg', 'phase', 'phd', 'phenomenon', 'philosoph', 'philosophi', 'philosophus', 'phone', 'photo', 'photographi', 'php', 'phrase', 'physic', 'pic', 'piccirilli', 'pick', 'pictur', 'picturesqu', 'piec', 'piffl', 'pile', 'pillar', 'pin', 'pink', 'pirat', 'piss', 'pittsburgh', 'pivot', 'pix', 'pjesm', 'place', 'plagiar', 'plan', 'plane', 'plant', 'plaster', 'plate', 'platform', 'play', 'player', 'playground', 'pleas', 'pleasant', 'pleasur', 'plenti', 'pls', 'plug', 'plus', 'plz', 'png', 'podgorica', 'poet', 'poetic', 'poetri', 'point', 'poke', 'poker', 'poland', 'polem', 'polic', 'polici', 'polit', 'politess', 'politician', 'pollen', 'polygraph', 'poobah', 'pool', 'poopi', 'pop', 'popclass', 'popul', 'popular', 'populationsbelow', 'popup', 'porcelain', 'porn', 'portal', 'portray', 'posit', 'possess', 'possibil', 'possibl', 'post', 'potd', 'potenti', 'potter', 'pound', 'pour', 'pov', 'power', 'pp1', 'practic', 'practis', 'practition', 'pradesh', 'prairi', 'prais', 'pre', 'preced', 'precis', 'precisley', 'predomin', 'predrag', 'prefer', 'pregnant', 'prehistor', 'prematur', 'premis', 'prepar', 'prescript', 'present', 'preserv', 'presid', 'press', 'presum', 'pretend', 'pretens', 'pretti', 'prevar', 'prevent', 'previous', 'price', 'priest', 'prigovaranj', 'primar', 'primari', 'primarili', 'primit', 'princ', 'princeton', 'principl', 'print', 'prisa', 'prison', 'privat', 'pro', 'probabl', 'problem', 'proced', 'proceed', 'process', 'produc', 'product', 'profan', 'profess', 'profession', 'profil', 'profound', 'program', 'progress', 'project', 'promin', 'promis', 'promot', 'prompt', 'pronounc', 'proof', 'propag', 'propagabda', 'proper', 'properti', 'prophet', 'propon', 'propos', 'prosecut', 'protect', 'protest', 'proton', 'proud', 'prove', 'proven', 'provid', 'provoc', 'ps', 'psycholog', 'pt', 'public', 'publish', 'pubm', 'puck', 'puet', 'punt', 'pup', 'puppet', 'puppetri', 'purdu', 'pure', 'purist', 'purpl', 'purpos', 'pursu', 'push', 'pussi', 'put', 'putina', 'qanta', 'qualifi', 'qualiti', 'quarter', 'queen', 'queerright', 'question', 'qui', 'quick', 'quit', 'quot', 'quotat', 'race', 'rachel', 'racial', 'racist', 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'renzo', 'reoccur', 'repar', 'repeat', 'repetit', 'replac', 'repli', 'report', 'repost', 'repres', 'republ', 'reput', 'request', 'requir', 'research', 'resolv', 'respect', 'respond', 'respons', 'rest', 'restat', 'restor', 'result', 'retards1', 'retir', 'retract', 'retreat', 'retriv', 'return', 'reupload', 'reusabl', 'revert', 'review', 'revis', 'revolut', 'revolv', 'reword', 'rfa', 'rfc', 'rhetor', 'ribanj', 'ribarsko', 'rich', 'richest', 'rid', 'ride', 'ridicul', 'rig', 'right', 'rim', 'ring', 'riot', 'rise', 'risk', 'river', 'rob', 'robot', 'roc', 'rock', 'roger', 'roisman', 'role', 'roll', 'roman', 'romani', 'room', 'roosevelt', 'root', 'rot', 'rotat', 'round', 'rout', 'rs', 'rubbish', 'rude', 'rule', 'rumor', 'run', 'runescap', 'rural', 'rurika', 'russia', 'russian', 'ryo', 'ryuhei', 'ryulong', 'sa', 'sabina', 'sacramento', 'sad', 'sadden', 'sagawa', 'sahara', 'sahrawi', 'said', 'sakazaki', 'sake', 'salut', 'sampl', 'samuel', 'san', 'sanction', 'sandbox', 'santali', 'santana', 'sarekofvulcan', 'satanist', 'satisfi', 'saudiarabia', 'save', 'saw', 'say', 'scan', 'scar', 'scare', 'scatolog', 'scenario', 'schedual', 'schism', 'schmuck', 'scholar', 'scholari', 'scholarship', 'school', 'scibabi', 'scienc', 'scientif', 'scientist', 'scorn', 'scout', 'screw', 'screwjob', 'scull', 'sculli', 'sculptor', 'sculptur', 'sd', 'se', 'sea', 'seankilpatrick2014', 'search', 'season', 'seat', 'secess', 'second', 'secondari', 'section', 'sector', 'secur', 'sedentari', 'see', 'seek', 'seem', 'seen', 'seismic', 'seiz', 'select', 'self', 'sell', 'semi', 'seminari', 'semitian', 'send', 'sens', 'sent', 'sentai', 'sentanc', 'sentenc', 'separ', 'septemb', 'sequenc', 'serbia', 'serbian', 'seri', 'serious', 'serv', 'server', 'servic', 'set', 'settl', 'seven', 'sever', 'sex', 'sexual', 'sg', 'sh', 'sh_t', 'sh_tti', 'shall', 'shane', 'shape', 'share', 'shatter', 'shave', 'shawn', 'shed', 'shini', 'shinsengumi', 'shit', 'shitstorm', 'shiva', 'shock', 'shoot', 'short', 'shot', 'shoudld', 'shoulda', 'shove', 'show', 'shown', 'shut', 'shwain', 'sidaway', 'side', 'sight', 'sign', 'signal', 'signific', 'signpost', 'sikh', 'silentredirect', 'silli', 'similar', 'simpl', 'simpli', 'sin', 'sinc', 'sincer', 'singh', 'singl', 'sinjska', 'sir', 'sister', 'sit', 'site', 'situat', 'sityush', 'six', 'sixti', 'size', 'sketch', 'skill', 'skim', 'skin', 'skinhead', 'sky', 'skyhook', 'slade', 'slander', 'slate', 'slav', 'slavic', 'slay', 'slope', 'slovak', 'slow', 'smackbot', 'small', 'smaller', 'smart', 'smear', 'smelli', 'smer', 'smith', 'smoke', 'snake', 'sneer', 'snotti', 'snowcryst', 'snowflak', 'snunɐw', 'sob', 'social', 'socialist', 'socialistm', 'societi', 'sock', 'sockpuppet', 'sof', 'sofija', 'softwar', 'sohbet', 'soldier', 'solid', 'sollow', 'solomon', 'solut', 'solv', 'somebodi', 'somehow', 'someon', 'someth', 'sometim', 'somewhat', 'somewher', 'son', 'song', 'sonia', 'soon', 'sophist', 'sorri', 'sorrow', 'sort', 'sound', 'sourc', 'sousa', 'south', 'southeast', 'southeastern', 'southern', 'southofwatford', 'sovereignti', 'soviet', 'space', 'spacecraft', 'spacetim', 'spain', 'span', 'spanish', 'spare', 'speak', 'special', 'specif', 'specifi', 'specul', 'speech', 'speed', 'speedi', 'speedili', 'spell', 'spend', 'spent', 'spin', 'spirit', 'spiritu', 'spite', 'split', 'spong', 'sport', 'spot', 'spread', 'sprinker', 'sprint', 'sps', 'spurious', 'squatter', 'sri', 'srq', 'srs', 'ss2', 'stack', 'stage', 'stagnat', 'stalin', 'stalk', 'stand', 'standard', 'standardis', 'standfordham', 'stanley', 'star', 'starbuck', 'stargat', 'start', 'startl', 'stasi', 'state', 'statement', 'staten', 'station', 'statist', 'status', 'stay', 'steal', 'step', 'stephan', 'stereotyp', 'stern', 'sternhel', 'stick', 'stijepo', 'still', 'stingray', 'stink', 'stipan', 'stock', 'stop', 'storasta', 'store', 'stori', 'storylin', 'straight', 'straightest', 'strang', 'strategi', 'strauss', 'straw', 'street', 'strenght', 'strenghter', 'strength', 'strengthen', 'stress', 'stressbust', 'strict', 'strictur', 'strike', 'strip', 'strong', 'structur', 'struggl', 'student', 'studi', 'stuff', 'stupid', 'style', 'stylophora', 'su', 'suav', 'sub', 'subject', 'subjeg', 'submiss', 'submit', 'subpag', 'subscrib', 'subscript', 'subsec', 'subsect', 'subsequ', 'subservi', 'substanc', 'substanti', 'subsum', 'suburb', 'succeed', 'success', 'suck', 'sucker', 'sudden', 'suffer', 'suffic', 'suffici', 'suggest', 'suicid', 'suit', 'sum', 'summar', 'summari', 'summarili', 'sunni', 'sunraysia', 'sunris', 'super', 'superbeyin', 'support', 'suppos', 'sure', 'surfac', 'surpris', 'surround', 'surviv', 'suspect', 'suspicion', 'swatjest', 'swine', 'swing', 'switch', 'syd', 'sydney', 'symbol', 'symmetr', 'symmetri', 'sympathet', 'syriac', 'syrthiss', 'sysop', 'system', 'systemat', 'tabl', 'tactic', 'tag', 'tagor', 'taip', 'tajik', 'take', 'taken', 'taliban', 'talk', 'talki', 'talkpag', 'tamburitza', 'tandem', 'tangenti', 'tank', 'taphonomi', 'target', 'taskforc', 'tatoo', 'tax', 'tcm', 'teach', 'team', 'tear', 'technic', 'techniqu', 'technolog', 'tedford', 'teen', 'teh', 'televis', 'telford', 'tell', 'temperatur', 'templat', 'temporarili', 'ten', 'tend', 'tendenc', 'tensil', 'term', 'territori', 'terror', 'terrorist', 'test', 'testimoni', 'tether', 'texa', 'text', 'textil', 'tfd', 'thank', 'that', 'thatso', 'theatlant', 'thechief', 'thedoctor10', 'theme', 'theodor', 'theolog', 'theologian', 'theori', 'theoriz', 'there', 'therefor', 'thermit', 'these', 'thicker', 'thier', 'thing', 'think', 'third', 'thius', 'thiyya', 'thorough', 'though', 'thought', 'thousand', 'thread', 'threat', 'threaten', 'three', 'threshold', 'thrill', 'throughout', 'throught', 'throw', 'thrown', 'thru', 'thus', 'thye', 'tidi', 'tie', 'tiger', 'tild', 'tilt', 'timberwolf', 'time', 'timerang', 'tire', 'titl', 'tlppud2ah8mwiqlgvidgba', 'today', 'todo', 'toei', 'togeth', 'tokyo', 'told', 'toler', 'tom', 'tomorrow', 'tongu', 'toni', 'tonight', 'took', 'tool', 'top', 'topic', 'total', 'totalbox', 'touch', 'tourism', 'toursim', 'toward', 'tower', 'town', 'trace', 'track', 'trad', 'tradit', 'train', 'transclud', 'transcrib', 'transfer', 'transit', 'translat', 'transliter', 'transmit', 'transpar', 'transport', 'trap', 'trappist', 'trash', 'trauma', 'travel', 'treason', 'treat', 'treati', 'tree', 'tremend', 'tri', 'trial', 'trip', 'tripel', 'tripl', 'tripod', 'triva', 'trivia', 'trliš', 'troll', 'troop', 'tropcho', 'tropic', 'troubl', 'trough', 'troy', 'true', 'truli', 'truncat', 'trust', 'truth', 'tryinbg', 'tsar', 'ttack', 'tuch', 'turborang', 'turkic', 'turn', 'turnaway', 'tv', 'tw', 'twat', 'twice', 'twist', 'two', 'txt', 'type', 'typic', 'ugli', 'uh', 'uisg', 'uk', 'ukrain', 'ukrainian', 'ulterior', 'ultim', 'unabl', 'unaccept', 'unattract', 'unavoid', 'unawar', 'unban', 'unblock', 'uncharacterist', 'uncit', 'uncivil', 'uncl', 'unclear', 'uncommon', 'unconstitut', 'unconstruct', 'uncov', 'undelet', 'underdog', 'underlien', 'understand', 'understood', 'underutil', 'undesir', 'undo', 'undu', 'unfair', 'unfortun', 'unfortuneat', 'unfound', 'ungrammat', 'unholi', 'unimport', 'unintent', 'uninterest', 'uniqu', 'unit', 'univers', 'unjustifi', 'unknown', 'unless', 'unneceessari', 'unnecessari', 'unnecessarili', 'unprotect', 'unreason', 'unsign', 'unsolicit', 'unsourc', 'unspeak', 'unspecifi', 'unsubscrib', 'unsur', 'untag', 'unus', 'unusu', 'unwant', 'unwarr', 'updat', 'upgrad', 'upheld', 'upload', 'upon', 'upper', 'uppsok', 'upset', 'ur', 'urban', 'urg', 'urgent', 'uri', 'urn', 'us', 'use', 'useless', 'user', 'userbox', 'userinfo', 'usernam', 'userpag', 'usful', 'uskok', 'usual', 'usurp', 'utc', 'uttar', 'uuuh', 'vaccin', 'vagina', 'vagu', 'valid', 'valu', 'vandal', 'vandalis', 'variant', 'varieti', 'various', 'vast', 'vaughan', 'vaughn', 'ved', 'veget', 'vehicl', 'vendetta', 'verbal', 'verbatim', 'verg', 'verif', 'verifi', 'version', 'vertebr', 'vertic', 'vfd', 'via', 'vicenarian', 'vicious', 'victim', 'victoria', 'video', 'view', 'viewer', 'vilius', 'villag', 'violat', 'violent', 'virus', 'visibl', 'visitor', 'vital', 'vogu', 'voic', 'void', 'volum', 'vote', 'voydan', 'vydūna', 'wa', 'wacko', 'waggl', 'wait', 'wake', 'waldorf', 'wale', 'wall', 'wallin', 'walnut', 'want', 'war', 'ward', 'warn', 'warrant', 'warren', 'wash', 'washington', 'wast', 'watch', 'watchtow', 'water', 'watermark', 'wave', 'waward', 'way', 'waysssssssssss', 'wc', 'wealth', 'wear', 'weav', 'web', 'webpag', 'websit', 'weed', 'week', 'weigh', 'weight', 'weijibaikebianji', 'weiner', 'welcom', 'well', 'went', 'west', 'western', 'what', 'whatev', 'whatsoev', 'whenev', 'whereev', 'whether', 'whilst', 'whirl', 'whistelblow', 'white', 'whole', 'whose', 'wiaga', 'wide', 'wider', 'widespread', 'width', 'wiil', 'wiki', 'wikicod', 'wikicolor', 'wikifi', 'wikimedia', 'wikipedia', 'wikipedia_has_free_classical_music_download', 'wikipedia_talk', 'wikipedian', 'wikiproject', 'wikiproject_classical_mus', 'wikiproject_mus', 'wikiworld', 'wikki', 'wiktionari', 'wiley', 'will', 'willi', 'william', 'win', 'wind', 'wing', 'winner', 'wire', 'wish', 'wit', 'within', 'without', 'witht', 'witz', 'witzeman', 'witzemen', 'witzewoman', 'wizard', 'wof', 'womb', 'women', 'wonder', 'wont', 'woo', 'wood', 'word', 'work', 'worker', 'workshop', 'world', 'worri', 'worst', 'worth', 'worthless', 'would', 'wound', 'wow', 'wp', 'wrap', 'wrestl', 'write', 'writer', 'written', 'wrong', 'wrote', 'wtf', 'ww2', 'wwi', 'wwii', 'www', 'xbox', 'xd', 'xenotalk', 'ya', 'yack', 'yamla', 'yangtz', 'yayoi', 'yeah', 'year', 'yellowmonkey', 'yep', 'yes', 'yesterday', 'yet', 'yggdrasil', 'york', 'young', 'younger', 'youngest', 'yourtransitad', 'youth', 'ypov', 'yugoslav', 'zadar', 'zagreb', 'zaostrog', 'zeev', 'zero', 'zetterl', 'zubrin', 'zyurang', 'čiurlioni', 'čiurlionienė', 'šeinius', 'šimkus', 'šimoni', 'štokavian', 'željezno', 'ʍaunus', 'κρανιώνας', 'дреновени', 'レンジャー', '御法度', '竜龙', '見学', '迷惑', '連絡']\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
            "  warnings.warn(msg, category=FutureWarning)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(x_train_count.toarray()[:3])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "t41q4LHvqf3Y",
        "outputId": "10affc5e-6e88-43d0-8fc6-aa2c50b8d908"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[0 0 0 ... 0 0 0]\n",
            " [0 0 0 ... 0 0 0]\n",
            " [0 0 0 ... 0 0 0]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# model\n",
        "model = MultinomialNB()\n",
        "model.fit(x_train_count, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ShK4CP_Dqf0x",
        "outputId": "856d6f6d-f407-408a-b52b-8f83316b48f7"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "MultinomialNB()"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "PREDICTING COMMENT"
      ],
      "metadata": {
        "id": "isjn1WtVtxWW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "comment = \"Fucked with the wrong muchacho.  21:19, July 23, 2005 (UTC)\"\n",
        "\n",
        "\n",
        "# again doing some preprocessing steps\n",
        "\n",
        "text_tokenss = word_tokenize(comment)\n",
        "\n",
        "tokens_without_sww = [wordss for wordss in text_tokenss if not wordss in stop_words]\n",
        "\n",
        "# using stemmer\n",
        "stmm = SnowballStemmer(language='english')\n",
        "li2 = []\n",
        "\n",
        "for sttt in tokens_without_sww:\n",
        "    x2 = stmm.stem(sttt)\n",
        "    li2.append(x2)\n",
        "\n",
        "\n",
        "strii = ' '.join(li2)\n",
        "l = [strii]\n",
        "\n",
        "\n",
        "com = v.transform(l)"
      ],
      "metadata": {
        "id": "fH1OWH03qfyL"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "predicting if comment is toxic or not\n",
        "\n",
        "\n",
        "0 -- not toxic\n",
        "\n",
        "1 -- toxic"
      ],
      "metadata": {
        "id": "ZHzi2Cbat7ND"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print(model.predict(com))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "L3vvKFcKteoV",
        "outputId": "6e7e6447-5f0a-46a8-acee-ac510574b7b6"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[1]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# for model score\n",
        "x_test_count = v.transform(X_test)\n",
        "print(model.score(x_test_count, y_test))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "evunrPEItegm",
        "outputId": "219a2780-533a-4dfa-d895-bceff3a3673f"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.9\n"
          ]
        }
      ]
    }
  ]
}