{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "97e22d35",
   "metadata": {},
   "source": [
    "# Lesson 38: Text data analysis demonstration\n",
    "\n",
    "This notebook demonstrates key concepts and tools for text data analysis in NLP.\n",
    "\n",
    "**1. Text preprocessing**\n",
    "- Tokenization\n",
    "- Normalization and cleaning\n",
    "- Stemming and lemmatization\n",
    "\n",
    "**2. Text exploration**\n",
    "- Word frequency analysis\n",
    "- Word cloud visualization\n",
    "\n",
    "**3. Text classification**\n",
    "- Naive Bayes classifier\n",
    "\n",
    "**4. Rule-based sentiment analysis**\n",
    "- VADER sentiment analyzer\n",
    "\n",
    "\n",
    "## Notebook set up\n",
    "\n",
    "**Note**: depending on your environment, you may need to install NLTK and wordcloud:\n",
    "\n",
    "```text\n",
    "pip install nltk wordcloud\n",
    "```\n",
    "\n",
    "### Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "32aba526",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import nltk\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from collections import Counter\n",
    "from nltk.tokenize import word_tokenize, sent_tokenize\n",
    "from nltk.corpus import stopwords, movie_reviews\n",
    "from nltk.stem import PorterStemmer, WordNetLemmatizer\n",
    "from nltk.sentiment.vader import SentimentIntensityAnalyzer\n",
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "from sklearn.naive_bayes import MultinomialNB\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import accuracy_score, classification_report\n",
    "from wordcloud import WordCloud\n",
    "\n",
    "# Download required NLTK data\n",
    "nltk.download('punkt', quiet=True)\n",
    "nltk.download('punkt_tab', quiet=True)\n",
    "nltk.download('stopwords', quiet=True)\n",
    "nltk.download('wordnet', quiet=True)\n",
    "nltk.download('movie_reviews', quiet=True)\n",
    "nltk.download('vader_lexicon', quiet=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49de835a",
   "metadata": {},
   "source": [
    "### Dataset\n",
    "\n",
    "We use the NLTK movie reviews corpus, which contains 2000 movie reviews labeled as positive or negative."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5faa6d9d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset shape: (2000, 2)\n",
      "Label distribution:\n",
      "label\n",
      "neg    1000\n",
      "pos    1000\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>plot : two teen couples go to a church party ,...</td>\n",
       "      <td>neg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>the happy bastard's quick movie review \\ndamn ...</td>\n",
       "      <td>neg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>it is movies like these that make a jaded movi...</td>\n",
       "      <td>neg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>\" quest for camelot \" is warner bros . ' firs...</td>\n",
       "      <td>neg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>synopsis : a mentally unstable man undergoing ...</td>\n",
       "      <td>neg</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text label\n",
       "0  plot : two teen couples go to a church party ,...   neg\n",
       "1  the happy bastard's quick movie review \\ndamn ...   neg\n",
       "2  it is movies like these that make a jaded movi...   neg\n",
       "3   \" quest for camelot \" is warner bros . ' firs...   neg\n",
       "4  synopsis : a mentally unstable man undergoing ...   neg"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load movie reviews corpus\n",
    "documents = [(movie_reviews.raw(fileid), category)\n",
    "             for category in movie_reviews.categories()\n",
    "             for fileid in movie_reviews.fileids(category)]\n",
    "\n",
    "# Create dataframe\n",
    "df = pd.DataFrame(documents, columns=['text', 'label'])\n",
    "\n",
    "print(f'Dataset shape: {df.shape}')\n",
    "print(f'Label distribution:\\n{df[\"label\"].value_counts()}')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc80e430",
   "metadata": {},
   "source": [
    "## 1. Text preprocessing\n",
    "\n",
    "### 1.1. Tokenization\n",
    "\n",
    "Tokenization splits text into individual units (tokens) such as words or sentences.\n",
    "\n",
    "NLTK [word_tokenize](https://www.nltk.org/api/nltk.tokenize.html) documentation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "2bbe3c3d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original text:\n",
      "plot : two teen couples go to a church party , drink and then drive . \n",
      "they get into an accident . \n",
      "one of the guys dies , but his girlfriend continues to see him in her life , and has nightmares . \n",
      "what's the deal ? \n",
      "watch the movie and \" sorta \" find out . . . \n",
      "critique : a mind-fuck movie for the teen generation that touches on a very cool idea , but presents it in a very bad package . \n",
      "which is what makes this review an even harder one to write , since i generally applaud films which attempt\n",
      "\n",
      "Word tokens (106 tokens):\n",
      "['plot', ':', 'two', 'teen', 'couples', 'go', 'to', 'a', 'church', 'party', ',', 'drink', 'and', 'then', 'drive', '.', 'they', 'get', 'into', 'an']...\n",
      "\n",
      "Sentence tokens (9 sentences):\n",
      "['plot : two teen couples go to a church party , drink and then drive .', 'they get into an accident .']\n"
     ]
    }
   ],
   "source": [
    "# Sample text for demonstration\n",
    "sample_text = df['text'].iloc[0][:500]\n",
    "\n",
    "# Word tokenization\n",
    "word_tokens = word_tokenize(sample_text)\n",
    "\n",
    "# Sentence tokenization\n",
    "sent_tokens = sent_tokenize(sample_text)\n",
    "\n",
    "print(f'Original text:\\n{sample_text}\\n')\n",
    "print(f'Word tokens ({len(word_tokens)} tokens):\\n{word_tokens[:20]}...\\n')\n",
    "print(f'Sentence tokens ({len(sent_tokens)} sentences):\\n{sent_tokens[:2]}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "513c1d8c",
   "metadata": {},
   "source": [
    "### 1.2. Normalization and cleaning\n",
    "\n",
    "Text normalization includes lowercasing, removing punctuation, and filtering stopwords."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "a793ef4f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original tokens: 106\n",
      "After lowercasing: 106\n",
      "After removing non-alpha: 87\n",
      "After removing stopwords: 45\n",
      "\n",
      "Cleaned tokens:\n",
      "['plot', 'two', 'teen', 'couples', 'go', 'church', 'party', 'drink', 'drive', 'get', 'accident', 'one', 'guys', 'dies', 'girlfriend']\n"
     ]
    }
   ],
   "source": [
    "# Lowercase\n",
    "tokens_lower = [token.lower() for token in word_tokens]\n",
    "\n",
    "# Remove non-alphabetic tokens\n",
    "tokens_alpha = [token for token in tokens_lower if token.isalpha()]\n",
    "\n",
    "# Remove stopwords\n",
    "stop_words = set(stopwords.words('english'))\n",
    "tokens_clean = [token for token in tokens_alpha if token not in stop_words]\n",
    "\n",
    "print(f'Original tokens: {len(word_tokens)}')\n",
    "print(f'After lowercasing: {len(tokens_lower)}')\n",
    "print(f'After removing non-alpha: {len(tokens_alpha)}')\n",
    "print(f'After removing stopwords: {len(tokens_clean)}')\n",
    "print(f'\\nCleaned tokens:\\n{tokens_clean[:15]}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76d13aab",
   "metadata": {},
   "source": [
    "### 1.3. Stemming and lemmatization\n",
    "\n",
    "Stemming reduces words to their root form by removing suffixes. Lemmatization reduces words to their dictionary form (lemma).\n",
    "\n",
    "NLTK [PorterStemmer](https://www.nltk.org/api/nltk.stem.porter.html) and [WordNetLemmatizer](https://www.nltk.org/api/nltk.stem.wordnet.html) documentation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "20a2d546",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>original</th>\n",
       "      <th>stemmed</th>\n",
       "      <th>lemmatized</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>plot</td>\n",
       "      <td>plot</td>\n",
       "      <td>plot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>two</td>\n",
       "      <td>two</td>\n",
       "      <td>two</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>teen</td>\n",
       "      <td>teen</td>\n",
       "      <td>teen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>couples</td>\n",
       "      <td>coupl</td>\n",
       "      <td>couple</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>go</td>\n",
       "      <td>go</td>\n",
       "      <td>go</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>church</td>\n",
       "      <td>church</td>\n",
       "      <td>church</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>party</td>\n",
       "      <td>parti</td>\n",
       "      <td>party</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>drink</td>\n",
       "      <td>drink</td>\n",
       "      <td>drink</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>drive</td>\n",
       "      <td>drive</td>\n",
       "      <td>drive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>get</td>\n",
       "      <td>get</td>\n",
       "      <td>get</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>accident</td>\n",
       "      <td>accid</td>\n",
       "      <td>accident</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>one</td>\n",
       "      <td>one</td>\n",
       "      <td>one</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>guys</td>\n",
       "      <td>guy</td>\n",
       "      <td>guy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>dies</td>\n",
       "      <td>die</td>\n",
       "      <td>dy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>girlfriend</td>\n",
       "      <td>girlfriend</td>\n",
       "      <td>girlfriend</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>continues</td>\n",
       "      <td>continu</td>\n",
       "      <td>continues</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>see</td>\n",
       "      <td>see</td>\n",
       "      <td>see</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>life</td>\n",
       "      <td>life</td>\n",
       "      <td>life</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>nightmares</td>\n",
       "      <td>nightmar</td>\n",
       "      <td>nightmare</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>deal</td>\n",
       "      <td>deal</td>\n",
       "      <td>deal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>watch</td>\n",
       "      <td>watch</td>\n",
       "      <td>watch</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>movie</td>\n",
       "      <td>movi</td>\n",
       "      <td>movie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>sorta</td>\n",
       "      <td>sorta</td>\n",
       "      <td>sorta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>find</td>\n",
       "      <td>find</td>\n",
       "      <td>find</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>critique</td>\n",
       "      <td>critiqu</td>\n",
       "      <td>critique</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>movie</td>\n",
       "      <td>movi</td>\n",
       "      <td>movie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>teen</td>\n",
       "      <td>teen</td>\n",
       "      <td>teen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>generation</td>\n",
       "      <td>gener</td>\n",
       "      <td>generation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>touches</td>\n",
       "      <td>touch</td>\n",
       "      <td>touch</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>cool</td>\n",
       "      <td>cool</td>\n",
       "      <td>cool</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>idea</td>\n",
       "      <td>idea</td>\n",
       "      <td>idea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>presents</td>\n",
       "      <td>present</td>\n",
       "      <td>present</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>bad</td>\n",
       "      <td>bad</td>\n",
       "      <td>bad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>package</td>\n",
       "      <td>packag</td>\n",
       "      <td>package</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>makes</td>\n",
       "      <td>make</td>\n",
       "      <td>make</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>review</td>\n",
       "      <td>review</td>\n",
       "      <td>review</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>even</td>\n",
       "      <td>even</td>\n",
       "      <td>even</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>harder</td>\n",
       "      <td>harder</td>\n",
       "      <td>harder</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>one</td>\n",
       "      <td>one</td>\n",
       "      <td>one</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>write</td>\n",
       "      <td>write</td>\n",
       "      <td>write</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>since</td>\n",
       "      <td>sinc</td>\n",
       "      <td>since</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>generally</td>\n",
       "      <td>gener</td>\n",
       "      <td>generally</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>applaud</td>\n",
       "      <td>applaud</td>\n",
       "      <td>applaud</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>films</td>\n",
       "      <td>film</td>\n",
       "      <td>film</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>attempt</td>\n",
       "      <td>attempt</td>\n",
       "      <td>attempt</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      original     stemmed  lemmatized\n",
       "0         plot        plot        plot\n",
       "1          two         two         two\n",
       "2         teen        teen        teen\n",
       "3      couples       coupl      couple\n",
       "4           go          go          go\n",
       "5       church      church      church\n",
       "6        party       parti       party\n",
       "7        drink       drink       drink\n",
       "8        drive       drive       drive\n",
       "9          get         get         get\n",
       "10    accident       accid    accident\n",
       "11         one         one         one\n",
       "12        guys         guy         guy\n",
       "13        dies         die          dy\n",
       "14  girlfriend  girlfriend  girlfriend\n",
       "15   continues     continu   continues\n",
       "16         see         see         see\n",
       "17        life        life        life\n",
       "18  nightmares    nightmar   nightmare\n",
       "19        deal        deal        deal\n",
       "20       watch       watch       watch\n",
       "21       movie        movi       movie\n",
       "22       sorta       sorta       sorta\n",
       "23        find        find        find\n",
       "24    critique     critiqu    critique\n",
       "25       movie        movi       movie\n",
       "26        teen        teen        teen\n",
       "27  generation       gener  generation\n",
       "28     touches       touch       touch\n",
       "29        cool        cool        cool\n",
       "30        idea        idea        idea\n",
       "31    presents     present     present\n",
       "32         bad         bad         bad\n",
       "33     package      packag     package\n",
       "34       makes        make        make\n",
       "35      review      review      review\n",
       "36        even        even        even\n",
       "37      harder      harder      harder\n",
       "38         one         one         one\n",
       "39       write       write       write\n",
       "40       since        sinc       since\n",
       "41   generally       gener   generally\n",
       "42     applaud     applaud     applaud\n",
       "43       films        film        film\n",
       "44     attempt     attempt     attempt"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Stemming\n",
    "stemmer = PorterStemmer()\n",
    "tokens_stemmed = [stemmer.stem(token) for token in tokens_clean]\n",
    "\n",
    "# Lemmatization\n",
    "lemmatizer = WordNetLemmatizer()\n",
    "tokens_lemmatized = [lemmatizer.lemmatize(token) for token in tokens_clean]\n",
    "\n",
    "# Compare results\n",
    "comparison_df = pd.DataFrame({\n",
    "    'original': tokens_clean[:50],\n",
    "    'stemmed': tokens_stemmed[:50],\n",
    "    'lemmatized': tokens_lemmatized[:50]\n",
    "})\n",
    "\n",
    "comparison_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e742076",
   "metadata": {},
   "source": [
    "## 2. Text exploration\n",
    "\n",
    "### 2.1. Word frequency analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cc5930f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>word</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>film</td>\n",
       "      <td>9443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>movie</td>\n",
       "      <td>5671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>one</td>\n",
       "      <td>5582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>like</td>\n",
       "      <td>3547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>even</td>\n",
       "      <td>2556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>good</td>\n",
       "      <td>2316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>time</td>\n",
       "      <td>2282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>would</td>\n",
       "      <td>2264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>story</td>\n",
       "      <td>2146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>much</td>\n",
       "      <td>2024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>character</td>\n",
       "      <td>1996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>also</td>\n",
       "      <td>1965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>get</td>\n",
       "      <td>1925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>characters</td>\n",
       "      <td>1858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>two</td>\n",
       "      <td>1827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>first</td>\n",
       "      <td>1769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>see</td>\n",
       "      <td>1731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>way</td>\n",
       "      <td>1669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>well</td>\n",
       "      <td>1656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>could</td>\n",
       "      <td>1609</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          word  count\n",
       "0         film   9443\n",
       "1        movie   5671\n",
       "2          one   5582\n",
       "3         like   3547\n",
       "4         even   2556\n",
       "5         good   2316\n",
       "6         time   2282\n",
       "7        would   2264\n",
       "8        story   2146\n",
       "9         much   2024\n",
       "10   character   1996\n",
       "11        also   1965\n",
       "12         get   1925\n",
       "13  characters   1858\n",
       "14         two   1827\n",
       "15       first   1769\n",
       "16         see   1731\n",
       "17         way   1669\n",
       "18        well   1656\n",
       "19       could   1609"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Preprocess function for full corpus\n",
    "def preprocess_text(text):\n",
    "\n",
    "    tokens = word_tokenize(text.lower())\n",
    "    tokens = [t for t in tokens if t.isalpha() and t not in stop_words]\n",
    "    return tokens\n",
    "\n",
    "# Get all tokens from corpus\n",
    "all_tokens = []\n",
    "\n",
    "for text in df['text']:\n",
    "    all_tokens.extend(preprocess_text(text))\n",
    "\n",
    "# Count word frequencies\n",
    "word_freq = Counter(all_tokens)\n",
    "top_20 = word_freq.most_common(20)\n",
    "\n",
    "# Display top words\n",
    "freq_df = pd.DataFrame(top_20, columns=['word', 'count'])\n",
    "freq_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eac0d820",
   "metadata": {},
   "source": [
    "### 2.2. Word cloud visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f67f84e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create word cloud\n",
    "wordcloud = WordCloud(\n",
    "    width=800,\n",
    "    height=400,\n",
    "    background_color='white',\n",
    "    colormap='Greys'\n",
    ").generate_from_frequencies(word_freq)\n",
    "\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.title('Word cloud of movie reviews corpus')\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "025de532",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Histogram of word frequency distribution\n",
    "word_counts = list(word_freq.values())\n",
    "\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.title('Distribution of word frequencies')\n",
    "plt.hist(word_counts, bins=100, color='grey', edgecolor='black')\n",
    "plt.xlabel('Word frequency')\n",
    "plt.ylabel('Number of words')\n",
    "plt.yscale('log')  # Use logarithmic scale for better visibility\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02e9858a",
   "metadata": {},
   "source": [
    "## 3. Text classification\n",
    "\n",
    "### 3.1. Naive Bayes classifier\n",
    "\n",
    "Naive Bayes is a simple but effective classifier for text that uses word frequencies as features.\n",
    "\n",
    "Scikit-learn [MultinomialNB](https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html) documentation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "62f78c04",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training set: (1600, 5000)\n",
      "Test set: (400, 5000)\n"
     ]
    }
   ],
   "source": [
    "# Prepare data\n",
    "X = df['text']\n",
    "y = df['label']\n",
    "\n",
    "# Split data\n",
    "X_train, X_test, y_train, y_test = train_test_split(\n",
    "    X, y,\n",
    "    test_size=0.2,\n",
    "    random_state=315\n",
    ")\n",
    "\n",
    "# Vectorize text using bag-of-words\n",
    "vectorizer = CountVectorizer(max_features=5000, stop_words='english')\n",
    "X_train_vec = vectorizer.fit_transform(X_train)\n",
    "X_test_vec = vectorizer.transform(X_test)\n",
    "\n",
    "print(f'Training set: {X_train_vec.shape}')\n",
    "print(f'Test set: {X_test_vec.shape}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "dbc23278",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.812\n",
      "\n",
      "Classification report:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         neg       0.80      0.84      0.82       202\n",
      "         pos       0.83      0.78      0.81       198\n",
      "\n",
      "    accuracy                           0.81       400\n",
      "   macro avg       0.81      0.81      0.81       400\n",
      "weighted avg       0.81      0.81      0.81       400\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Train Naive Bayes classifier\n",
    "nb_classifier = MultinomialNB()\n",
    "nb_classifier.fit(X_train_vec, y_train)\n",
    "\n",
    "# Predict and evaluate\n",
    "y_pred = nb_classifier.predict(X_test_vec)\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "\n",
    "print(f'Accuracy: {accuracy:.3f}\\n')\n",
    "print('Classification report:')\n",
    "print(classification_report(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a5af326",
   "metadata": {},
   "source": [
    "## 4. Rule-based sentiment analysis\n",
    "\n",
    "### 4.1. VADER sentiment analyzer\n",
    "\n",
    "VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon-based sentiment analyzer that uses a dictionary of words with pre-assigned sentiment scores.\n",
    "\n",
    "NLTK [VADER](https://www.nltk.org/howto/sentiment.html) documentation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "0f23f2be",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "VADER sentiment scores:\n",
      "\n",
      "Text: This movie was absolutely fantastic! I loved every minute.\n",
      "Scores: {'neg': 0.0, 'neu': 0.418, 'pos': 0.582, 'compound': 0.8542}\n",
      "\n",
      "Text: Terrible film. Complete waste of time and money.\n",
      "Scores: {'neg': 0.496, 'neu': 0.504, 'pos': 0.0, 'compound': -0.7096}\n",
      "\n",
      "Text: The movie was okay. Nothing special but watchable.\n",
      "Scores: {'neg': 0.179, 'neu': 0.661, 'pos': 0.16, 'compound': -0.0462}\n",
      "\n",
      "Text: I have mixed feelings about this one.\n",
      "Scores: {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Initialize VADER\n",
    "sia = SentimentIntensityAnalyzer()\n",
    "\n",
    "# Example sentences\n",
    "example_texts = [\n",
    "    'This movie was absolutely fantastic! I loved every minute.',\n",
    "    'Terrible film. Complete waste of time and money.',\n",
    "    'The movie was okay. Nothing special but watchable.',\n",
    "    'I have mixed feelings about this one.'\n",
    "]\n",
    "\n",
    "# Analyze sentiment\n",
    "print('VADER sentiment scores:\\n')\n",
    "\n",
    "for text in example_texts:\n",
    "\n",
    "    scores = sia.polarity_scores(text)\n",
    "    print(f'Text: {text}')\n",
    "    print(f'Scores: {scores}\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aad42331",
   "metadata": {},
   "source": [
    "### 4.2. VADER evaluation on corpus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "e9b6a5ea",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "VADER accuracy: 0.632\n",
      "Naive Bayes accuracy: 0.812\n"
     ]
    }
   ],
   "source": [
    "# Apply VADER to test set\n",
    "def vader_predict(text):\n",
    "\n",
    "    scores = sia.polarity_scores(text)\n",
    "    if scores['compound'] >= 0.05:\n",
    "        return 'pos'\n",
    "    elif scores['compound'] <= -0.05:\n",
    "        return 'neg'\n",
    "    else:\n",
    "        return 'neg'  # Default to negative for neutral\n",
    "\n",
    "# Predict with VADER\n",
    "y_pred_vader = [vader_predict(text) for text in X_test]\n",
    "vader_accuracy = accuracy_score(y_test, y_pred_vader)\n",
    "\n",
    "print(f'VADER accuracy: {vader_accuracy:.3f}')\n",
    "print(f'Naive Bayes accuracy: {accuracy:.3f}')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
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