Data_Preprocessing.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f035569d",
   "metadata": {},
   "source": [
    "# Data preprocessing\n",
    "\n",
    "In this notebook, we will preprocess the data. The preprocessing pipeline will contain the following steps:\n",
    "\n",
    "1. Tokenization\n",
    "2. Text Normalization\n",
    "    1. Case folding\n",
    "    2. Lemmatization\n",
    "    3. Stemming\n",
    "3. Convert into indexes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "288d40e4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     /Users/shrivastavasatyam/nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n",
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     /Users/shrivastavasatyam/nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import re\n",
    "import nltk\n",
    "\n",
    "# download stopwords list\n",
    "nltk.download('punkt')\n",
    "nltk.download('stopwords')\n",
    "STOPWORDS=nltk.corpus.stopwords.words('english')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d07c3c8d",
   "metadata": {},
   "source": [
    "We can create a function to preprocess the text in our dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "79f63dec",
   "metadata": {},
   "outputs": [],
   "source": [
    "# preprocessing function\n",
    "def preprocess(sentence:str, train:bool)-> list:\n",
    "    \"\"\"\n",
    "    This function takes in a string and performs the following preprocessing steps:\n",
    "    1. remove punctuation and URLs\n",
    "    2. tokenization\n",
    "    3. lower case\n",
    "    4. removing stop words\n",
    "    5. stemming /lemmatization (still thinking about it)\n",
    "    6. padding ??\n",
    "    \"\"\"\n",
    "\n",
    "    # remove <newline>\n",
    "    sentence = re.sub(r'<newline>', '', sentence)\n",
    "    \n",
    "    # remove punctuation\n",
    "    sentence = re.sub(r'[^\\w\\s]', ' ', sentence)\n",
    "    \n",
    "    # remove urls\n",
    "    sentence = re.sub(r'http\\S+', '', sentence)\n",
    "\n",
    "    # tokenize using nltk\n",
    "    tokenized = nltk.word_tokenize(sentence)\n",
    "    \n",
    "    # lower case all the tokens\n",
    "    tokenized = [t.lower() for t in tokenized]\n",
    "\n",
    "    # remove stopwords\n",
    "    #if train:\n",
    "        #tokenized = [w for w in tokenized if w not in STOPWORDS]\n",
    "        \n",
    "    # remove single words and numbers\n",
    "    # removing single words because I don't thinks there are any useful words that are \n",
    "    # made of just a single letter\n",
    "    # also we dont have a use of numbers in our word embeddings \n",
    "    tokenized = [t for t in tokenized if len(t)>1 and \\\n",
    "               not bool(re.search(\"\\d\",t)) or t in STOPWORDS]\n",
    "        \n",
    "    # add padding\n",
    "    #tokenized = list(nltk.lm.preprocessing.pad_both_ends(tokenized, n=2))\n",
    "    \n",
    "    return tokenized"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cc6ff82e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# read the dataset\n",
    "df = pd.read_csv('data/train_df.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "57d8fc80",
   "metadata": {},
   "outputs": [],
   "source": [
    "# make a list of all the sentences in the dataset\n",
    "stories = list(df['stories'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "52139126",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"-Week 18 aboard the Depth Reaver , Circa 2023- <newline> <newline> I walk about the dull gray halls , the artificial gravity making my steps feel almost as if they were on land . Almost . I glance out a window as I pass it by . There 's the sun , and there 's the moon right there . And , of course , there 's the Earth . I kinda miss it . Then again , space is pretty cool . It 's got some brilliant views , and the wifi is surprisingly good . Even countless miles away from the Earth , I can crush Silver noobs on CS GO . <newline> <newline> I pass by Dale Malkowitz , the head scientist on board . <newline> <newline> `` Evening , Dale , '' I say . <newline> <newline> `` What up , Danny ? '' he replies cordially . <newline> <newline> `` Nothin ' much . A little bored , I guess . '' <newline> <newline> He shakes his head in disbelief . `` I really , *really* do n't understand how you can be bored in space . '' <newline> <newline> `` Well hey , '' I say slightly defensively , `` Aside from the views , it 's kinda ... dull . And empty . And stuff . '' <newline> <newline> `` Whatever you say , Wittell , '' he says , not unkindly . Then he walks off . A few moments pass , and then I decide to look out the window right by me . As my eyes scan the inky blackness of space ( again ) , I notice something odd about the moon 's surface . It 's slightly ... cracked . <newline> <newline> `` Hey , Malkowitz ? '' I call out , `` You might wan na check this out ! '' <newline> <newline> He walks over to me casually , probably expecting nothing . `` What ? '' he asks , `` What do you see ? '' <newline> <newline> I point at the moon . His brow furrows . `` Huh ... I guess there 's something up with the surface . I 'll have to look into tha- '' <newline> <newline> Suddenly , the surface cracks a little more . We glance at each other , and then back at the moon , and then at each other again , and then back at the moon again . <newline> <newline> `` What 's going on ? '' I ask , alarmed . <newline> <newline> He 's silent for a minute or two , mouth hanging open . Then , he calls out : `` Janice ! Terry ! Johnny ! Get over here ! Something 's up with the moon . '' <newline> <newline> The other crewmates enter , unsure of what to expect . As their eyes lay upon the moon 's surface cracks , they widen . <newline> <newline> And , by coincidence , more cracks appear at that very moment . And then more . And more . And more . And more ... <newline> <newline> Little bits of the moon begin to float away , torn free of the rest of the surface . We all stare , speechless . And then ... it happens . It *happens* . <newline> <newline> The side of the moon facing us is ... torn away by a ... <newline> <newline> Human ... hand ? <newline> <newline> And we see ... <newline> <newline> A giant ... human face ? ! <newline> <newline> Surprisingly , I can hear my thoughts over my racing heart . *I ca n't help but feel as if I recognize that face ... from the ... * <newline> <newline> *Internet . * <newline> <newline> Suddenly , the great face 's lips move . <newline> <newline> Of course , none of us can actually *hear* it speak , because of the laws of space and whatnot . However , I can read its lips , and it appears to be saying : <newline> <newline> `` Are you sure about that ? ''\""
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stories[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "de0df3e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# preprocess the text\n",
    "tokenized = [preprocess(s,True) for s in stories]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "aab11ea6",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       " 'says',\n",
       " 'not',\n",
       " 'unkindly',\n",
       " 'then',\n",
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       " 'walks',\n",
       " 'off',\n",
       " 'a',\n",
       " 'few',\n",
       " 'moments',\n",
       " 'pass',\n",
       " 'and',\n",
       " 'then',\n",
       " 'i',\n",
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       " 'to',\n",
       " 'look',\n",
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       " 'window',\n",
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       " 'by',\n",
       " 'me',\n",
       " 'as',\n",
       " 'my',\n",
       " 'eyes',\n",
       " 'scan',\n",
       " 'the',\n",
       " 'inky',\n",
       " 'blackness',\n",
       " 'of',\n",
       " 'space',\n",
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       " 'about',\n",
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       " 's',\n",
       " 'surface',\n",
       " 'it',\n",
       " 's',\n",
       " 'slightly',\n",
       " 'cracked',\n",
       " 'hey',\n",
       " 'malkowitz',\n",
       " 'i',\n",
       " 'call',\n",
       " 'out',\n",
       " 'you',\n",
       " 'might',\n",
       " 'wan',\n",
       " 'na',\n",
       " 'check',\n",
       " 'this',\n",
       " 'out',\n",
       " 'he',\n",
       " 'walks',\n",
       " 'over',\n",
       " 'to',\n",
       " 'me',\n",
       " 'casually',\n",
       " 'probably',\n",
       " 'expecting',\n",
       " 'nothing',\n",
       " 'what',\n",
       " 'he',\n",
       " 'asks',\n",
       " 'what',\n",
       " 'do',\n",
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       " 'see',\n",
       " 'i',\n",
       " 'point',\n",
       " 'at',\n",
       " 'the',\n",
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       " 'i',\n",
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       " 's',\n",
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       " 'up',\n",
       " 'with',\n",
       " 'the',\n",
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       " 'glance',\n",
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       " 'going',\n",
       " 'on',\n",
       " 'i',\n",
       " 'ask',\n",
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       " 'he',\n",
       " 's',\n",
       " 'silent',\n",
       " 'for',\n",
       " 'a',\n",
       " 'minute',\n",
       " 'or',\n",
       " 'two',\n",
       " 'mouth',\n",
       " 'hanging',\n",
       " 'open',\n",
       " 'then',\n",
       " 'he',\n",
       " 'calls',\n",
       " 'out',\n",
       " 'janice',\n",
       " 'terry',\n",
       " 'johnny',\n",
       " 'get',\n",
       " 'over',\n",
       " 'here',\n",
       " 'something',\n",
       " 's',\n",
       " 'up',\n",
       " 'with',\n",
       " 'the',\n",
       " 'moon',\n",
       " 'the',\n",
       " 'other',\n",
       " 'crewmates',\n",
       " 'enter',\n",
       " 'unsure',\n",
       " 'of',\n",
       " 'what',\n",
       " 'to',\n",
       " 'expect',\n",
       " 'as',\n",
       " 'their',\n",
       " 'eyes',\n",
       " 'lay',\n",
       " 'upon',\n",
       " 'the',\n",
       " 'moon',\n",
       " 's',\n",
       " 'surface',\n",
       " 'cracks',\n",
       " 'they',\n",
       " 'widen',\n",
       " 'and',\n",
       " 'by',\n",
       " 'coincidence',\n",
       " 'more',\n",
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       " 'appear',\n",
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       " 'and',\n",
       " 'then',\n",
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       " 'to',\n",
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       " 'then',\n",
       " 'it',\n",
       " 'happens',\n",
       " 'it',\n",
       " 'happens',\n",
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       " 'side',\n",
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       " 'is',\n",
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       " 'away',\n",
       " 'by',\n",
       " 'a',\n",
       " 'human',\n",
       " 'hand',\n",
       " 'and',\n",
       " 'we',\n",
       " 'see',\n",
       " 'a',\n",
       " 'giant',\n",
       " 'human',\n",
       " 'face',\n",
       " 'surprisingly',\n",
       " 'i',\n",
       " 'can',\n",
       " 'hear',\n",
       " 'my',\n",
       " 'thoughts',\n",
       " 'over',\n",
       " 'my',\n",
       " 'racing',\n",
       " 'heart',\n",
       " 'i',\n",
       " 'ca',\n",
       " 't',\n",
       " 'help',\n",
       " 'but',\n",
       " 'feel',\n",
       " 'as',\n",
       " 'if',\n",
       " 'i',\n",
       " 'recognize',\n",
       " 'that',\n",
       " 'face',\n",
       " 'from',\n",
       " 'the',\n",
       " 'internet',\n",
       " 'suddenly',\n",
       " 'the',\n",
       " 'great',\n",
       " 'face',\n",
       " 's',\n",
       " 'lips',\n",
       " 'move',\n",
       " 'of',\n",
       " 'course',\n",
       " 'none',\n",
       " 'of',\n",
       " 'us',\n",
       " 'can',\n",
       " 'actually',\n",
       " 'hear',\n",
       " 'it',\n",
       " 'speak',\n",
       " 'because',\n",
       " 'of',\n",
       " 'the',\n",
       " 'laws',\n",
       " 'of',\n",
       " 'space',\n",
       " 'and',\n",
       " 'whatnot',\n",
       " 'however',\n",
       " 'i',\n",
       " 'can',\n",
       " 'read',\n",
       " 'its',\n",
       " 'lips',\n",
       " 'and',\n",
       " 'it',\n",
       " 'appears',\n",
       " 'to',\n",
       " 'be',\n",
       " 'saying',\n",
       " 'are',\n",
       " 'you',\n",
       " 'sure',\n",
       " 'about',\n",
       " 'that']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tokenized[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48d90845",
   "metadata": {},
   "source": [
    "Let's train the embeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "df55fb95",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gensim.models import Word2Vec\n",
    "\n",
    "# The dimension of word embedding. \n",
    "# This variable will be used throughout the program\n",
    "# you may vary this as you desire\n",
    "EMBEDDINGS_SIZE = 200\n",
    "\n",
    "# Train the Word2Vec model from Gensim. \n",
    "# Below are the hyperparameters that are most relevant. \n",
    "# But feel free to explore other \n",
    "# options too:\n",
    "# sg = 1\n",
    "# window = 5\n",
    "# size = EMBEDDINGS_SIZE\n",
    "# min_count = 1\n",
    "model = Word2Vec(tokenized,\n",
    "               min_count=5,\n",
    "               vector_size=EMBEDDINGS_SIZE,\n",
    "               sg=0,\n",
    "               window=5,\n",
    "               workers=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2e563c70",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vocab size 106312\n"
     ]
    }
   ],
   "source": [
    "# if you save your Word2Vec as the variable model, this will \n",
    "# print out the vocabulary size\n",
    "print('Vocab size {}'.format(len(model.wv)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3f91b70b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# You can save file in txt format, then load later if you wish.\n",
    "model.wv.save('data/embeddings')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "95aff513",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 1.7138467 , -1.2805469 ,  1.2865558 , -1.0365773 ,  1.3444816 ,\n",
       "       -1.4132379 ,  1.7424697 ,  1.7969685 , -0.5274914 , -0.6971504 ,\n",
       "       -0.32930896, -0.76493114, -0.5546345 , -0.4528657 ,  0.4284817 ,\n",
       "       -0.8511622 , -0.14887093, -0.6812217 , -0.41733307, -1.0948796 ,\n",
       "        1.0063341 ,  0.01908526, -1.5959356 , -1.5597391 , -0.32587653,\n",
       "       -0.05471074, -1.032367  , -1.7871338 , -1.1450018 ,  0.65537214,\n",
       "        2.0000606 , -0.11200525, -0.81702447, -3.4281604 ,  0.8595786 ,\n",
       "       -1.4604411 ,  2.3060575 , -0.24074022,  1.3691902 , -1.4775621 ,\n",
       "        0.65847796, -0.23070522, -0.8780485 ,  1.1402198 ,  0.4391878 ,\n",
       "        0.5120176 , -0.88153803, -3.3974266 , -1.5156599 , -0.32042485,\n",
       "       -0.84910625, -0.4841782 ,  1.172704  , -0.59400004, -1.0206317 ,\n",
       "       -0.98423547,  2.0146742 , -0.86970204, -1.5195137 , -1.6009117 ,\n",
       "       -0.42113283,  0.9324427 ,  0.51469374, -1.916511  ,  0.36840338,\n",
       "        0.6174056 , -0.6506427 ,  2.2770536 ,  0.96709806,  0.46656367,\n",
       "        1.369329  , -2.4637287 ,  3.018372  ,  1.8138696 ,  2.487268  ,\n",
       "        0.21583167,  0.93381053,  1.2218435 , -2.0476544 , -1.1056515 ,\n",
       "       -0.04812891, -1.3777564 , -2.3295074 , -0.2070885 ,  0.26793057,\n",
       "        0.54399854,  0.61578435,  1.7397625 , -0.51307344, -1.3450569 ,\n",
       "       -2.0407262 ,  0.67883193, -0.88656914,  1.0861869 , -0.96658665,\n",
       "       -1.4992301 ,  0.16511966,  1.1676705 ,  0.581926  ,  2.7103572 ,\n",
       "       -0.94429797, -0.00471774, -1.5901778 , -1.15906   ,  0.49146616,\n",
       "       -2.044486  , -0.49663082, -0.24755488, -1.8319337 ,  0.2356625 ,\n",
       "       -1.0759876 ,  0.16415063,  1.3350319 , -0.54448724, -0.79403436,\n",
       "       -1.2000444 , -2.2217093 ,  0.28662378,  0.97206587,  0.60444564,\n",
       "        2.0339797 ,  1.1489142 , -2.7348578 , -1.2057971 ,  0.38793474,\n",
       "        1.6592656 ,  1.7899189 , -2.127573  ,  1.3701676 , -0.29969865,\n",
       "        0.03219998, -0.27240202,  1.58748   ,  1.5355445 ,  0.33434552,\n",
       "       -1.3008515 ,  0.04871835,  0.24252182,  0.34613332, -1.1250114 ,\n",
       "       -2.2797585 ,  0.23285624, -0.9341832 , -0.58286333,  0.24427158,\n",
       "        0.51967186, -1.301882  , -0.2808929 , -1.551298  ,  1.7063272 ,\n",
       "        1.6613648 , -0.67394763, -1.040171  , -1.5027244 ,  0.50827634,\n",
       "        1.2184243 , -0.65381944,  1.2267176 , -1.719396  , -0.72636884,\n",
       "       -1.0811318 , -1.2604405 , -1.0238457 ,  1.3759928 ,  1.3885987 ,\n",
       "       -1.1217715 , -0.4268134 , -0.68603694, -1.9856939 , -4.401421  ,\n",
       "        0.48948234,  1.4646856 , -0.10938827, -2.9732747 ,  2.8991477 ,\n",
       "        0.46871483, -0.57292825, -0.26411575, -1.3540852 ,  0.08311483,\n",
       "        0.78853834, -0.23717655,  1.9536144 ,  0.86097765, -0.09398112,\n",
       "       -0.95637643, -0.37930867,  2.73185   ,  0.8737911 , -0.3138414 ,\n",
       "       -0.08786508,  0.9189057 , -0.5795138 , -0.22961971,  0.48714092,\n",
       "       -0.8929383 , -0.24650724, -1.3672172 ,  2.0750585 ,  0.03124017],\n",
       "      dtype=float32)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.wv['human']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c5c9bd9e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import libraries here\n",
    "from sklearn.manifold import TSNE\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.cm as cm\n",
    "import numpy as np\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "04be8608",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('sentient', 0.7219706177711487),\n",
       " ('sapient', 0.6541575193405151),\n",
       " ('primate', 0.6325945258140564),\n",
       " ('mammalian', 0.592839241027832),\n",
       " ('humans', 0.5898416042327881),\n",
       " ('lifeform', 0.572749674320221),\n",
       " ('spacefaring', 0.5687896013259888),\n",
       " ('intelligent', 0.5482122898101807),\n",
       " ('organism', 0.5480073690414429),\n",
       " ('species', 0.5454040765762329)]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.wv.most_similar('human', topn=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "a3a738c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def clusters(words: list, model)-> (list, list):\n",
    "    \"\"\"\n",
    "    This function takes in a list of words and returns two lists:\n",
    "    1. the first list contains all embedding values\n",
    "    2. the second list contains the list of words similar to the input words\n",
    "    \n",
    "    Maybe we should return a dictionary like {word:[(word,embedding)]}\n",
    "    \n",
    "    Parameters:\n",
    "    words: the list of relevant words\n",
    "    model: Word2Vec model to be used\n",
    "    \n",
    "    Returns:\n",
    "    embedding clusters: list of list\n",
    "    word_clusters: list of list\n",
    "    \"\"\"\n",
    "    \n",
    "    # embedding clusters and word clusters\n",
    "    ec = []\n",
    "    wc = []\n",
    "    \n",
    "    for w in words:\n",
    "        \n",
    "        embeddings = []\n",
    "        similar_words = []\n",
    "        \n",
    "        for sw, _ in model.wv.most_similar(w, topn = 30):\n",
    "            \n",
    "            # add embedding vector\n",
    "            embeddings.append(model.wv[sw])\n",
    "            \n",
    "            # add similar word\n",
    "            similar_words.append(sw)\n",
    "        \n",
    "        # add list of embeddings\n",
    "        # add list of similar words\n",
    "        ec.append(embeddings)\n",
    "        wc.append(similar_words)\n",
    "        \n",
    "    return ec, wc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "accde376",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_clusters(e_clusters, w_clusters, labels, title):\n",
    "    \"\"\"\n",
    "    Add function description\n",
    "    \"\"\"\n",
    "    \n",
    "    # what is the figure size?\n",
    "    plt.figure(figsize = (12, 8))\n",
    "    \n",
    "    # what colors should the clusters be?\n",
    "    colors = cm.rainbow(np.linspace(0, 1, len(labels)))\n",
    "    \n",
    "    \n",
    "    for label, embeddings, words, color in zip(labels, e_clusters, w_clusters,colors):\n",
    "        \n",
    "        # seperate x and y dimension of the embeddings \n",
    "        x = embeddings[:, 0]\n",
    "        y = embeddings[:, 1]\n",
    "        \n",
    "        c = color.reshape(1, -1)\n",
    "        \n",
    "        plt.scatter(x, y, c = c, alpha = 0.7, label = label)\n",
    "        \n",
    "        for i, word in enumerate(words):\n",
    "            \n",
    "            plt.annotate(word, alpha = 0.5, xy = (x[i], y[i]), xytext = (5, 2),\n",
    "                         textcoords = 'offset points', ha = 'right', va = 'bottom', size = 8)\n",
    "            \n",
    "    # the legend should be outside the figure        \n",
    "    plt.legend(bbox_to_anchor = (1.02, 1), loc = 'upper left', borderaxespad = 0)\n",
    "    \n",
    "    # plot the title\n",
    "    plt.title(title)\n",
    "    \n",
    "    plt.grid(True)\n",
    "    \n",
    "#     if filename:\n",
    "#         plt.savefig(filename, format='png', dpi=150, bbox_inches='tight')\n",
    "\n",
    "    # plot the clusters \n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "12c12e01",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"-Week 18 aboard the Depth Reaver , Circa 2023- <newline> <newline> I walk about the dull gray halls , the artificial gravity making my steps feel almost as if they were on land . Almost . I glance out a window as I pass it by . There 's the sun , and there 's the moon right there . And , of course , there 's the Earth . I kinda miss it . Then again , space is pretty cool . It 's got some brilliant views , and the wifi is surprisingly good . Even countless miles away from the Earth , I can crush Silver noobs on CS GO . <newline> <newline> I pass by Dale Malkowitz , the head scientist on board . <newline> <newline> `` Evening , Dale , '' I say . <newline> <newline> `` What up , Danny ? '' he replies cordially . <newline> <newline> `` Nothin ' much . A little bored , I guess . '' <newline> <newline> He shakes his head in disbelief . `` I really , *really* do n't understand how you can be bored in space . '' <newline> <newline> `` Well hey , '' I say slightly defensively , `` Aside from the views , it 's kinda ... dull . And empty . And stuff . '' <newline> <newline> `` Whatever you say , Wittell , '' he says , not unkindly . Then he walks off . A few moments pass , and then I decide to look out the window right by me . As my eyes scan the inky blackness of space ( again ) , I notice something odd about the moon 's surface . It 's slightly ... cracked . <newline> <newline> `` Hey , Malkowitz ? '' I call out , `` You might wan na check this out ! '' <newline> <newline> He walks over to me casually , probably expecting nothing . `` What ? '' he asks , `` What do you see ? '' <newline> <newline> I point at the moon . His brow furrows . `` Huh ... I guess there 's something up with the surface . I 'll have to look into tha- '' <newline> <newline> Suddenly , the surface cracks a little more . We glance at each other , and then back at the moon , and then at each other again , and then back at the moon again . <newline> <newline> `` What 's going on ? '' I ask , alarmed . <newline> <newline> He 's silent for a minute or two , mouth hanging open . Then , he calls out : `` Janice ! Terry ! Johnny ! Get over here ! Something 's up with the moon . '' <newline> <newline> The other crewmates enter , unsure of what to expect . As their eyes lay upon the moon 's surface cracks , they widen . <newline> <newline> And , by coincidence , more cracks appear at that very moment . And then more . And more . And more . And more ... <newline> <newline> Little bits of the moon begin to float away , torn free of the rest of the surface . We all stare , speechless . And then ... it happens . It *happens* . <newline> <newline> The side of the moon facing us is ... torn away by a ... <newline> <newline> Human ... hand ? <newline> <newline> And we see ... <newline> <newline> A giant ... human face ? ! <newline> <newline> Surprisingly , I can hear my thoughts over my racing heart . *I ca n't help but feel as if I recognize that face ... from the ... * <newline> <newline> *Internet . * <newline> <newline> Suddenly , the great face 's lips move . <newline> <newline> Of course , none of us can actually *hear* it speak , because of the laws of space and whatnot . However , I can read its lips , and it appears to be saying : <newline> <newline> `` Are you sure about that ? ''\""
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stories[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "4496e6c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# preprocessed sentences\n",
    "prep_stories = [\" \".join(t) for t in tokenized]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "9431a6b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "272600"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(prep_stories)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "17bb72b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'so many times have i walked on ruins the remainings of places that i loved and got used to at first i was scared each time i could feel my city my current generation collapse break into the black hole that thrives within it i could feel humanity the way i m able to feel my body after a few hundred years the pattern became obvious no longer the war and damage that would devastate me over and over again in the far past was effecting me so dominantly it s funny but i felt as if after gaining what i desired so long what i have lived for my entire life only then when i achieved immortality i started truly aging world wars have passed and now they feel like a simple sickeness that would pass by every so often i could no longer evaluate the individual human as a being of its own the importance of mortals is merely the same as the importance of my skin cells they are a part of a mechanism so much more advanced a mechanism that is so dear to my fallen heart a mechanism that i have seen fall and rise so many times a mechanism that when lost all of which it had had me loosing my will to live for the first time in all of my thousands years of existence acceptance something so important a skill that has proved itself worthy dozens of times an ability that looks so easy to achieve a gift that i was t able to aquire in all my years until now when the ashes on the ground flew into the now empty air upon humanity s fall i felt as if all of it s weight was crushing me ignorance took over and i searched years for a hope a sign of the very same patterns that i used to watch reappear every hundred years the very core of my will to exist that was now no more that i so strongly wish was if you have ever wondered if silence can drive people crazy it can i ca t feel my legs i have walked for days just to hear the sound of gravel crushed bones crushed buildings and crushed civilizations under my steps to keep my sanity until i remembered the day in my far past the day of my rebirth i took out of my pocket a small plastic box with nine buttons and a small glass window i could t believe this was our past i could t believe how far we have been able to progress and yet be destroyed by our own violence i slowly dialed the number i was given exactly years ago i dropped a tear a tear that was too slow to hit the ground as i got sucked into the darkness that emerged around me a chill went through my spine as i saw my destiny rise above me i could see the white teeth under the dark cloack you have finally arrived he projected into my mind with the most chilling cold and unhuman voice i m ready to obey i answered i knew who was sitting infront of me and it was time for me to obey him after all these years of playing god even i came to it funny is t it even by achieving immortality death is inescapable'"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prep_stories[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "d538ea0a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>TfidfVectorizer()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">TfidfVectorizer</label><div class=\"sk-toggleable__content\"><pre>TfidfVectorizer()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "TfidfVectorizer()"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "\n",
    "# Create a TfidfVectorizer object\n",
    "tfidf = TfidfVectorizer()\n",
    "\n",
    "# Fit the TfidfVectorizer object to the data\n",
    "tfidf.fit(stories[1:100])\n",
    "\n",
    "#"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "08340f3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<9x7272 sparse matrix of type '<class 'numpy.float64'>'\n",
       "\twith 1725 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tfidf_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "4f6da7dd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('just', 6697.26967545242), ('like', 6420.56642346893), ('did', 5851.269246687706), ('time', 5600.1236957724705), ('know', 5313.840103284149), ('man', 5277.5899920349), ('said', 5224.455514315538), ('eyes', 4211.330309397171), ('people', 4096.738961088231), ('life', 3862.993294112297)]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "\n",
    "# Create a TfidfVectorizer object\n",
    "tfidf = TfidfVectorizer(stop_words = list(ENGLISH_STOP_WORDS))\n",
    "\n",
    "# Fit the TfidfVectorizer object to the data\n",
    "tfidf.fit(prep_stories)\n",
    "\n",
    "# Transform the text data\n",
    "tfidf_matrix = tfidf.transform(prep_stories)\n",
    "\n",
    "# Get the feature names (i.e., the words) from the TfidfVectorizer object\n",
    "feature_names = tfidf.get_feature_names_out()\n",
    "\n",
    "# Calculate the sum of the TF-IDF scores for each word\n",
    "word_scores = np.asarray(tfidf_matrix.sum(axis=0)).flatten()\n",
    "sorted_word_scores = word_scores.argsort()[::-1]\n",
    "\n",
    "# Get the top 10 words and their corresponding TF-IDF scores\n",
    "top_word_indices = sorted_word_scores[:10]\n",
    "top_words = [feature_names[i] for i in top_word_indices]\n",
    "top_word_scores = [word_scores[i] for i in top_word_indices]\n",
    "top_words_and_scores = list(zip(top_words, top_word_scores))\n",
    "\n",
    "print(top_words_and_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "76cebcc4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('just', 6697.26967545242), ('like', 6420.56642346893), ('did', 5851.269246687706), ('time', 5600.1236957724705), ('know', 5313.840103284149), ('man', 5277.5899920349), ('said', 5224.455514315538), ('eyes', 4211.330309397171), ('people', 4096.738961088231), ('life', 3862.993294112297), ('ve', 3824.668089094942), ('day', 3646.3475378874627), ('looked', 3557.4295143483505), ('world', 3446.739122068851), ('way', 3422.668644580779), ('going', 3373.4063725421283), ('right', 3324.0042665495707), ('ll', 3306.783329367517), ('think', 3305.587275141644), ('got', 3254.191895304151), ('years', 3176.675205032221), ('face', 3173.9064235699257), ('door', 3156.7121283163447), ('thought', 3090.559647813914), ('look', 3076.6942894616304), ('head', 3064.398195818699), ('room', 3045.0428532960577), ('away', 3004.4954384873627), ('really', 2991.9700245876734), ('little', 2954.2831497820985)]\n"
     ]
    }
   ],
   "source": [
    "# Get the top 30 words and their corresponding TF-IDF scores\n",
    "top_30_word_indices = sorted_word_scores[:30]\n",
    "top_30_words = [feature_names[i] for i in top_30_word_indices]\n",
    "top_30_word_scores = [word_scores[i] for i in top_30_word_indices]\n",
    "top_30_words_and_scores = list(zip(top_30_words, top_30_word_scores))\n",
    "\n",
    "print(top_30_words_and_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "bdf33c40",
   "metadata": {},
   "outputs": [],
   "source": [
    "relevant_words = ['time', 'man', 'eyes', 'people', 'life', 'world', 'years', 'face', 'room', 'little']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "949c053c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# get list of embedding vectors and similar words\n",
    "embed_cl,word_cl= clusters(relevant_words, model)\n",
    "\n",
    "# convert into numpy arrays\n",
    "embed_cl=np.array(embed_cl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "a15e0419",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "n, m, k = embed_cl.shape\n",
    "\n",
    "# apply T-SNE\n",
    "tsne_model2d = TSNE(perplexity=10, n_components=2, init='pca', n_iter=3000,random_state=42)\n",
    "embeddings2d = np.array(tsne_model2d.fit_transform(embed_cl.reshape(n * m, k))).\\\n",
    "                        reshape(n, m, 2)\n",
    "\n",
    "# visualize the dataset \n",
    "plot_clusters(embeddings2d, word_cl, relevant_words, \"Similar words for the Writing Prompts dataset\" )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "85c8e830",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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