PROJECT 4 - Next Word Prediction..ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "715c051e",
   "metadata": {},
   "source": [
    " # TASK4 -NEXT WORD PREDICTION"
   ]
  },
  {
   "attachments": {
    "TASK%203.gif": {
     "image/gif": 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"
    }
   },
   "cell_type": "markdown",
   "id": "987c4783",
   "metadata": {},
   "source": [
    "![TASK%203.gif](attachment:TASK%203.gif)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c11d7f8",
   "metadata": {},
   "source": [
    "## BUSINESS CASE :-\n",
    "**To build a model that can predict next word**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "212fcb29",
   "metadata": {},
   "source": [
    "## IMPORTING THE NECESSARY LIBRARIES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a25bddd4",
   "metadata": {},
   "outputs": [],
   "source": [
    "#importing necessary libraries\n",
    "import pandas as pd\n",
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "from nltk.tokenize import RegexpTokenizer\n",
    "from keras.models import Sequential, load_model\n",
    "from keras.layers import LSTM\n",
    "from tensorflow.keras.layers import Dense, Input\n",
    "from keras.layers import Dense, Activation, LSTM\n",
    "from tensorflow.keras.layers import Input  # If you are using TensorFlow 2.x, import Input from tensorflow.keras.layers\n",
    "from keras.optimizers import RMSprop\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import pickle\n",
    "import heapq"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "197a4294",
   "metadata": {},
   "source": [
    "## Loading the dataset "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b6e963a9",
   "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>budget</th>\n",
       "      <th>genres</th>\n",
       "      <th>homepage</th>\n",
       "      <th>id</th>\n",
       "      <th>keywords</th>\n",
       "      <th>original_language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>production_countries</th>\n",
       "      <th>release_date</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>spoken_languages</th>\n",
       "      <th>status</th>\n",
       "      <th>tagline</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>237000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://www.avatarmovie.com/</td>\n",
       "      <td>19995</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2009-12-10</td>\n",
       "      <td>2787965087</td>\n",
       "      <td>162.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...</td>\n",
       "      <td>Released</td>\n",
       "      <td>Enter the World of Pandora.</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>300000000</td>\n",
       "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
       "      <td>http://disney.go.com/disneypictures/pirates/</td>\n",
       "      <td>285</td>\n",
       "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
       "      <td>en</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2007-05-19</td>\n",
       "      <td>961000000</td>\n",
       "      <td>169.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>At the end of the world, the adventure begins.</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>245000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://www.sonypictures.com/movies/spectre/</td>\n",
       "      <td>206647</td>\n",
       "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
       "      <td>en</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>107.376788</td>\n",
       "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...</td>\n",
       "      <td>[{\"iso_3166_1\": \"GB\", \"name\": \"United Kingdom\"...</td>\n",
       "      <td>2015-10-26</td>\n",
       "      <td>880674609</td>\n",
       "      <td>148.0</td>\n",
       "      <td>[{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...</td>\n",
       "      <td>Released</td>\n",
       "      <td>A Plan No One Escapes</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>250000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
       "      <td>http://www.thedarkknightrises.com/</td>\n",
       "      <td>49026</td>\n",
       "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
       "      <td>en</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>Following the death of District Attorney Harve...</td>\n",
       "      <td>112.312950</td>\n",
       "      <td>[{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2012-07-16</td>\n",
       "      <td>1084939099</td>\n",
       "      <td>165.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>The Legend Ends</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>7.6</td>\n",
       "      <td>9106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>260000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://movies.disney.com/john-carter</td>\n",
       "      <td>49529</td>\n",
       "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>John Carter is a war-weary, former military ca...</td>\n",
       "      <td>43.926995</td>\n",
       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}]</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2012-03-07</td>\n",
       "      <td>284139100</td>\n",
       "      <td>132.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>Lost in our world, found in another.</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4798</th>\n",
       "      <td>220000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9367</td>\n",
       "      <td>[{\"id\": 5616, \"name\": \"united states\\u2013mexi...</td>\n",
       "      <td>es</td>\n",
       "      <td>El Mariachi</td>\n",
       "      <td>El Mariachi just wants to play his guitar and ...</td>\n",
       "      <td>14.269792</td>\n",
       "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}]</td>\n",
       "      <td>[{\"iso_3166_1\": \"MX\", \"name\": \"Mexico\"}, {\"iso...</td>\n",
       "      <td>1992-09-04</td>\n",
       "      <td>2040920</td>\n",
       "      <td>81.0</td>\n",
       "      <td>[{\"iso_639_1\": \"es\", \"name\": \"Espa\\u00f1ol\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>He didn't come looking for trouble, but troubl...</td>\n",
       "      <td>El Mariachi</td>\n",
       "      <td>6.6</td>\n",
       "      <td>238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4799</th>\n",
       "      <td>9000</td>\n",
       "      <td>[{\"id\": 35, \"name\": \"Comedy\"}, {\"id\": 10749, \"...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72766</td>\n",
       "      <td>[]</td>\n",
       "      <td>en</td>\n",
       "      <td>Newlyweds</td>\n",
       "      <td>A newlywed couple's honeymoon is upended by th...</td>\n",
       "      <td>0.642552</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>2011-12-26</td>\n",
       "      <td>0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>[]</td>\n",
       "      <td>Released</td>\n",
       "      <td>A newlywed couple's honeymoon is upended by th...</td>\n",
       "      <td>Newlyweds</td>\n",
       "      <td>5.9</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4800</th>\n",
       "      <td>0</td>\n",
       "      <td>[{\"id\": 35, \"name\": \"Comedy\"}, {\"id\": 18, \"nam...</td>\n",
       "      <td>http://www.hallmarkchannel.com/signedsealeddel...</td>\n",
       "      <td>231617</td>\n",
       "      <td>[{\"id\": 248, \"name\": \"date\"}, {\"id\": 699, \"nam...</td>\n",
       "      <td>en</td>\n",
       "      <td>Signed, Sealed, Delivered</td>\n",
       "      <td>\"Signed, Sealed, Delivered\" introduces a dedic...</td>\n",
       "      <td>1.444476</td>\n",
       "      <td>[{\"name\": \"Front Street Pictures\", \"id\": 3958}...</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2013-10-13</td>\n",
       "      <td>0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Signed, Sealed, Delivered</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4801</th>\n",
       "      <td>0</td>\n",
       "      <td>[]</td>\n",
       "      <td>http://shanghaicalling.com/</td>\n",
       "      <td>126186</td>\n",
       "      <td>[]</td>\n",
       "      <td>en</td>\n",
       "      <td>Shanghai Calling</td>\n",
       "      <td>When ambitious New York attorney Sam is sent t...</td>\n",
       "      <td>0.857008</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2012-05-03</td>\n",
       "      <td>0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>A New Yorker in Shanghai</td>\n",
       "      <td>Shanghai Calling</td>\n",
       "      <td>5.7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4802</th>\n",
       "      <td>0</td>\n",
       "      <td>[{\"id\": 99, \"name\": \"Documentary\"}]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25975</td>\n",
       "      <td>[{\"id\": 1523, \"name\": \"obsession\"}, {\"id\": 224...</td>\n",
       "      <td>en</td>\n",
       "      <td>My Date with Drew</td>\n",
       "      <td>Ever since the second grade when he first saw ...</td>\n",
       "      <td>1.929883</td>\n",
       "      <td>[{\"name\": \"rusty bear entertainment\", \"id\": 87...</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2005-08-05</td>\n",
       "      <td>0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>NaN</td>\n",
       "      <td>My Date with Drew</td>\n",
       "      <td>6.3</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4803 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         budget                                             genres   \n",
       "0     237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...  \\\n",
       "1     300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
       "2     245000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "3     250000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   \n",
       "4     260000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "...         ...                                                ...   \n",
       "4798     220000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   \n",
       "4799       9000  [{\"id\": 35, \"name\": \"Comedy\"}, {\"id\": 10749, \"...   \n",
       "4800          0  [{\"id\": 35, \"name\": \"Comedy\"}, {\"id\": 18, \"nam...   \n",
       "4801          0                                                 []   \n",
       "4802          0                [{\"id\": 99, \"name\": \"Documentary\"}]   \n",
       "\n",
       "                                               homepage      id   \n",
       "0                           http://www.avatarmovie.com/   19995  \\\n",
       "1          http://disney.go.com/disneypictures/pirates/     285   \n",
       "2           http://www.sonypictures.com/movies/spectre/  206647   \n",
       "3                    http://www.thedarkknightrises.com/   49026   \n",
       "4                  http://movies.disney.com/john-carter   49529   \n",
       "...                                                 ...     ...   \n",
       "4798                                                NaN    9367   \n",
       "4799                                                NaN   72766   \n",
       "4800  http://www.hallmarkchannel.com/signedsealeddel...  231617   \n",
       "4801                        http://shanghaicalling.com/  126186   \n",
       "4802                                                NaN   25975   \n",
       "\n",
       "                                               keywords original_language   \n",
       "0     [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...                en  \\\n",
       "1     [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...                en   \n",
       "2     [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...                en   \n",
       "3     [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...                en   \n",
       "4     [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...                en   \n",
       "...                                                 ...               ...   \n",
       "4798  [{\"id\": 5616, \"name\": \"united states\\u2013mexi...                es   \n",
       "4799                                                 []                en   \n",
       "4800  [{\"id\": 248, \"name\": \"date\"}, {\"id\": 699, \"nam...                en   \n",
       "4801                                                 []                en   \n",
       "4802  [{\"id\": 1523, \"name\": \"obsession\"}, {\"id\": 224...                en   \n",
       "\n",
       "                                original_title   \n",
       "0                                       Avatar  \\\n",
       "1     Pirates of the Caribbean: At World's End   \n",
       "2                                      Spectre   \n",
       "3                        The Dark Knight Rises   \n",
       "4                                  John Carter   \n",
       "...                                        ...   \n",
       "4798                               El Mariachi   \n",
       "4799                                 Newlyweds   \n",
       "4800                 Signed, Sealed, Delivered   \n",
       "4801                          Shanghai Calling   \n",
       "4802                         My Date with Drew   \n",
       "\n",
       "                                               overview  popularity   \n",
       "0     In the 22nd century, a paraplegic Marine is di...  150.437577  \\\n",
       "1     Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
       "2     A cryptic message from Bond’s past sends him o...  107.376788   \n",
       "3     Following the death of District Attorney Harve...  112.312950   \n",
       "4     John Carter is a war-weary, former military ca...   43.926995   \n",
       "...                                                 ...         ...   \n",
       "4798  El Mariachi just wants to play his guitar and ...   14.269792   \n",
       "4799  A newlywed couple's honeymoon is upended by th...    0.642552   \n",
       "4800  \"Signed, Sealed, Delivered\" introduces a dedic...    1.444476   \n",
       "4801  When ambitious New York attorney Sam is sent t...    0.857008   \n",
       "4802  Ever since the second grade when he first saw ...    1.929883   \n",
       "\n",
       "                                   production_companies   \n",
       "0     [{\"name\": \"Ingenious Film Partners\", \"id\": 289...  \\\n",
       "1     [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...   \n",
       "2     [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...   \n",
       "3     [{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...   \n",
       "4           [{\"name\": \"Walt Disney Pictures\", \"id\": 2}]   \n",
       "...                                                 ...   \n",
       "4798           [{\"name\": \"Columbia Pictures\", \"id\": 5}]   \n",
       "4799                                                 []   \n",
       "4800  [{\"name\": \"Front Street Pictures\", \"id\": 3958}...   \n",
       "4801                                                 []   \n",
       "4802  [{\"name\": \"rusty bear entertainment\", \"id\": 87...   \n",
       "\n",
       "                                   production_countries release_date   \n",
       "0     [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2009-12-10  \\\n",
       "1     [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2007-05-19   \n",
       "2     [{\"iso_3166_1\": \"GB\", \"name\": \"United Kingdom\"...   2015-10-26   \n",
       "3     [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2012-07-16   \n",
       "4     [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2012-03-07   \n",
       "...                                                 ...          ...   \n",
       "4798  [{\"iso_3166_1\": \"MX\", \"name\": \"Mexico\"}, {\"iso...   1992-09-04   \n",
       "4799                                                 []   2011-12-26   \n",
       "4800  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2013-10-13   \n",
       "4801  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2012-05-03   \n",
       "4802  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2005-08-05   \n",
       "\n",
       "         revenue  runtime                                   spoken_languages   \n",
       "0     2787965087    162.0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...  \\\n",
       "1      961000000    169.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "2      880674609    148.0  [{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...   \n",
       "3     1084939099    165.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "4      284139100    132.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "...          ...      ...                                                ...   \n",
       "4798     2040920     81.0      [{\"iso_639_1\": \"es\", \"name\": \"Espa\\u00f1ol\"}]   \n",
       "4799           0     85.0                                                 []   \n",
       "4800           0    120.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "4801           0     98.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "4802           0     90.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "\n",
       "        status                                            tagline   \n",
       "0     Released                        Enter the World of Pandora.  \\\n",
       "1     Released     At the end of the world, the adventure begins.   \n",
       "2     Released                              A Plan No One Escapes   \n",
       "3     Released                                    The Legend Ends   \n",
       "4     Released               Lost in our world, found in another.   \n",
       "...        ...                                                ...   \n",
       "4798  Released  He didn't come looking for trouble, but troubl...   \n",
       "4799  Released  A newlywed couple's honeymoon is upended by th...   \n",
       "4800  Released                                                NaN   \n",
       "4801  Released                           A New Yorker in Shanghai   \n",
       "4802  Released                                                NaN   \n",
       "\n",
       "                                         title  vote_average  vote_count  \n",
       "0                                       Avatar           7.2       11800  \n",
       "1     Pirates of the Caribbean: At World's End           6.9        4500  \n",
       "2                                      Spectre           6.3        4466  \n",
       "3                        The Dark Knight Rises           7.6        9106  \n",
       "4                                  John Carter           6.1        2124  \n",
       "...                                        ...           ...         ...  \n",
       "4798                               El Mariachi           6.6         238  \n",
       "4799                                 Newlyweds           5.9           5  \n",
       "4800                 Signed, Sealed, Delivered           7.0           6  \n",
       "4801                          Shanghai Calling           5.7           7  \n",
       "4802                         My Date with Drew           6.3          16  \n",
       "\n",
       "[4803 rows x 20 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_csv('tmdb_5000_movies.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a7a79f0b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>genres</th>\n",
       "      <th>homepage</th>\n",
       "      <th>id</th>\n",
       "      <th>keywords</th>\n",
       "      <th>original_language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>production_countries</th>\n",
       "      <th>release_date</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>spoken_languages</th>\n",
       "      <th>status</th>\n",
       "      <th>tagline</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>237000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://www.avatarmovie.com/</td>\n",
       "      <td>19995</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2009-12-10</td>\n",
       "      <td>2787965087</td>\n",
       "      <td>162.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...</td>\n",
       "      <td>Released</td>\n",
       "      <td>Enter the World of Pandora.</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>300000000</td>\n",
       "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
       "      <td>http://disney.go.com/disneypictures/pirates/</td>\n",
       "      <td>285</td>\n",
       "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
       "      <td>en</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2007-05-19</td>\n",
       "      <td>961000000</td>\n",
       "      <td>169.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>At the end of the world, the adventure begins.</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>245000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://www.sonypictures.com/movies/spectre/</td>\n",
       "      <td>206647</td>\n",
       "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
       "      <td>en</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>107.376788</td>\n",
       "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...</td>\n",
       "      <td>[{\"iso_3166_1\": \"GB\", \"name\": \"United Kingdom\"...</td>\n",
       "      <td>2015-10-26</td>\n",
       "      <td>880674609</td>\n",
       "      <td>148.0</td>\n",
       "      <td>[{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...</td>\n",
       "      <td>Released</td>\n",
       "      <td>A Plan No One Escapes</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4466</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget                                             genres   \n",
       "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...  \\\n",
       "1  300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
       "2  245000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "\n",
       "                                       homepage      id   \n",
       "0                   http://www.avatarmovie.com/   19995  \\\n",
       "1  http://disney.go.com/disneypictures/pirates/     285   \n",
       "2   http://www.sonypictures.com/movies/spectre/  206647   \n",
       "\n",
       "                                            keywords original_language   \n",
       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...                en  \\\n",
       "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...                en   \n",
       "2  [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...                en   \n",
       "\n",
       "                             original_title   \n",
       "0                                    Avatar  \\\n",
       "1  Pirates of the Caribbean: At World's End   \n",
       "2                                   Spectre   \n",
       "\n",
       "                                            overview  popularity   \n",
       "0  In the 22nd century, a paraplegic Marine is di...  150.437577  \\\n",
       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
       "2  A cryptic message from Bond’s past sends him o...  107.376788   \n",
       "\n",
       "                                production_companies   \n",
       "0  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...  \\\n",
       "1  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...   \n",
       "2  [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...   \n",
       "\n",
       "                                production_countries release_date     revenue   \n",
       "0  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2009-12-10  2787965087  \\\n",
       "1  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2007-05-19   961000000   \n",
       "2  [{\"iso_3166_1\": \"GB\", \"name\": \"United Kingdom\"...   2015-10-26   880674609   \n",
       "\n",
       "   runtime                                   spoken_languages    status   \n",
       "0    162.0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...  Released  \\\n",
       "1    169.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
       "2    148.0  [{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...  Released   \n",
       "\n",
       "                                          tagline   \n",
       "0                     Enter the World of Pandora.  \\\n",
       "1  At the end of the world, the adventure begins.   \n",
       "2                           A Plan No One Escapes   \n",
       "\n",
       "                                      title  vote_average  vote_count  \n",
       "0                                    Avatar           7.2       11800  \n",
       "1  Pirates of the Caribbean: At World's End           6.9        4500  \n",
       "2                                   Spectre           6.3        4466  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "032d5581",
   "metadata": {},
   "source": [
    "**Gettiing the data of the original_tille columns**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7e67b2f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                         Avatar\n",
       "1       Pirates of the Caribbean: At World's End\n",
       "2                                        Spectre\n",
       "3                          The Dark Knight Rises\n",
       "4                                    John Carter\n",
       "                          ...                   \n",
       "4798                                 El Mariachi\n",
       "4799                                   Newlyweds\n",
       "4800                   Signed, Sealed, Delivered\n",
       "4801                            Shanghai Calling\n",
       "4802                           My Date with Drew\n",
       "Name: original_title, Length: 4803, dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df= df['original_title']\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2802375",
   "metadata": {},
   "source": [
    "**Converting movie_name to list in order to tokenize it**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "63d45af2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Avatar',\n",
       " \"Pirates of the Caribbean: At World's End\",\n",
       " 'Spectre',\n",
       " 'The Dark Knight Rises',\n",
       " 'John Carter',\n",
       " 'Spider-Man 3',\n",
       " 'Tangled',\n",
       " 'Avengers: Age of Ultron',\n",
       " 'Harry Potter and the Half-Blood Prince',\n",
       " 'Batman v Superman: Dawn of Justice',\n",
       " 'Superman Returns',\n",
       " 'Quantum of Solace',\n",
       " \"Pirates of the Caribbean: Dead Man's Chest\",\n",
       " 'The Lone Ranger',\n",
       " 'Man of Steel',\n",
       " 'The Chronicles of Narnia: Prince Caspian',\n",
       " 'The Avengers',\n",
       " 'Pirates of the Caribbean: On Stranger Tides',\n",
       " 'Men in Black 3',\n",
       " 'The Hobbit: The Battle of the Five Armies',\n",
       " 'The Amazing Spider-Man',\n",
       " 'Robin Hood',\n",
       " 'The Hobbit: The Desolation of Smaug',\n",
       " 'The Golden Compass',\n",
       " 'King Kong',\n",
       " 'Titanic',\n",
       " 'Captain America: Civil War',\n",
       " 'Battleship',\n",
       " 'Jurassic World',\n",
       " 'Skyfall',\n",
       " 'Spider-Man 2',\n",
       " 'Iron Man 3',\n",
       " 'Alice in Wonderland',\n",
       " 'X-Men: The Last Stand',\n",
       " 'Monsters University',\n",
       " 'Transformers: Revenge of the Fallen',\n",
       " 'Transformers: Age of Extinction',\n",
       " 'Oz: The Great and Powerful',\n",
       " 'The Amazing Spider-Man 2',\n",
       " 'TRON: Legacy',\n",
       " 'Cars 2',\n",
       " 'Green Lantern',\n",
       " 'Toy Story 3',\n",
       " 'Terminator Salvation',\n",
       " 'Furious 7',\n",
       " 'World War Z',\n",
       " 'X-Men: Days of Future Past',\n",
       " 'Star Trek Into Darkness',\n",
       " 'Jack the Giant Slayer',\n",
       " 'The Great Gatsby',\n",
       " 'Prince of Persia: The Sands of Time',\n",
       " 'Pacific Rim',\n",
       " 'Transformers: Dark of the Moon',\n",
       " 'Indiana Jones and the Kingdom of the Crystal Skull',\n",
       " 'The Good Dinosaur',\n",
       " 'Brave',\n",
       " 'Star Trek Beyond',\n",
       " 'WALL·E',\n",
       " 'Rush Hour 3',\n",
       " '2012',\n",
       " 'A Christmas Carol',\n",
       " 'Jupiter Ascending',\n",
       " 'The Legend of Tarzan',\n",
       " 'The Chronicles of Narnia: The Lion, the Witch and the Wardrobe',\n",
       " 'X-Men: Apocalypse',\n",
       " 'The Dark Knight',\n",
       " 'Up',\n",
       " 'Monsters vs Aliens',\n",
       " 'Iron Man',\n",
       " 'Hugo',\n",
       " 'Wild Wild West',\n",
       " 'The Mummy: Tomb of the Dragon Emperor',\n",
       " 'Suicide Squad',\n",
       " 'Evan Almighty',\n",
       " 'Edge of Tomorrow',\n",
       " 'Waterworld',\n",
       " 'G.I. Joe: The Rise of Cobra',\n",
       " 'Inside Out',\n",
       " 'The Jungle Book',\n",
       " 'Iron Man 2',\n",
       " 'Snow White and the Huntsman',\n",
       " 'Maleficent',\n",
       " 'Dawn of the Planet of the Apes',\n",
       " 'The Lovers',\n",
       " '47 Ronin',\n",
       " 'Captain America: The Winter Soldier',\n",
       " 'Shrek Forever After',\n",
       " 'Tomorrowland',\n",
       " 'Big Hero 6',\n",
       " 'Wreck-It Ralph',\n",
       " 'The Polar Express',\n",
       " 'Independence Day: Resurgence',\n",
       " 'How to Train Your Dragon',\n",
       " 'Terminator 3: Rise of the Machines',\n",
       " 'Guardians of the Galaxy',\n",
       " 'Interstellar',\n",
       " 'Inception',\n",
       " 'シン・ゴジラ',\n",
       " 'The Hobbit: An Unexpected Journey',\n",
       " 'The Fast and the Furious',\n",
       " 'The Curious Case of Benjamin Button',\n",
       " 'X-Men: First Class',\n",
       " 'The Hunger Games: Mockingjay - Part 2',\n",
       " \"The Sorcerer's Apprentice\",\n",
       " 'Poseidon',\n",
       " 'Alice Through the Looking Glass',\n",
       " 'Shrek the Third',\n",
       " 'Warcraft',\n",
       " 'Terminator Genisys',\n",
       " 'The Chronicles of Narnia: The Voyage of the Dawn Treader',\n",
       " 'Pearl Harbor',\n",
       " 'Transformers',\n",
       " 'Alexander',\n",
       " 'Harry Potter and the Order of the Phoenix',\n",
       " 'Harry Potter and the Goblet of Fire',\n",
       " 'Hancock',\n",
       " 'I Am Legend',\n",
       " 'Charlie and the Chocolate Factory',\n",
       " 'Ratatouille',\n",
       " 'Batman Begins',\n",
       " 'Madagascar: Escape 2 Africa',\n",
       " 'Night at the Museum: Battle of the Smithsonian',\n",
       " 'X-Men Origins: Wolverine',\n",
       " 'The Matrix Revolutions',\n",
       " 'Frozen',\n",
       " 'The Matrix Reloaded',\n",
       " 'Thor: The Dark World',\n",
       " 'Mad Max: Fury Road',\n",
       " 'Angels & Demons',\n",
       " 'Thor',\n",
       " 'Bolt',\n",
       " 'G-Force',\n",
       " 'Wrath of the Titans',\n",
       " 'Dark Shadows',\n",
       " 'Mission: Impossible - Rogue Nation',\n",
       " 'The Wolfman',\n",
       " 'Bee Movie',\n",
       " 'Kung Fu Panda 2',\n",
       " 'The Last Airbender',\n",
       " 'Mission: Impossible III',\n",
       " 'White House Down',\n",
       " 'Mars Needs Moms',\n",
       " 'Flushed Away',\n",
       " 'Pan',\n",
       " 'Mr. Peabody & Sherman',\n",
       " 'Troy',\n",
       " \"Madagascar 3: Europe's Most Wanted\",\n",
       " 'Die Another Day',\n",
       " 'Ghostbusters',\n",
       " 'Armageddon',\n",
       " 'Men in Black II',\n",
       " 'Beowulf',\n",
       " 'Kung Fu Panda 3',\n",
       " 'Mission: Impossible - Ghost Protocol',\n",
       " 'Rise of the Guardians',\n",
       " 'Fun with Dick and Jane',\n",
       " 'The Last Samurai',\n",
       " 'Exodus: Gods and Kings',\n",
       " 'Star Trek',\n",
       " 'Spider-Man',\n",
       " 'How to Train Your Dragon 2',\n",
       " 'Gods of Egypt',\n",
       " 'Stealth',\n",
       " 'Watchmen',\n",
       " 'Lethal Weapon 4',\n",
       " 'Hulk',\n",
       " 'G.I. Joe: Retaliation',\n",
       " 'Sahara',\n",
       " 'Final Fantasy: The Spirits Within',\n",
       " 'Captain America: The First Avenger',\n",
       " 'The World Is Not Enough',\n",
       " 'Master and Commander: The Far Side of the World',\n",
       " 'The Twilight Saga: Breaking Dawn - Part 2',\n",
       " 'Happy Feet Two',\n",
       " 'The Incredible Hulk',\n",
       " 'The BFG',\n",
       " 'The Revenant',\n",
       " 'Turbo',\n",
       " 'Rango',\n",
       " 'Penguins of Madagascar',\n",
       " 'The Bourne Ultimatum',\n",
       " 'Kung Fu Panda',\n",
       " 'Ant-Man',\n",
       " 'The Hunger Games: Catching Fire',\n",
       " 'Home',\n",
       " 'War of the Worlds',\n",
       " 'Bad Boys II',\n",
       " 'Puss in Boots',\n",
       " 'Salt',\n",
       " 'Noah',\n",
       " 'The Adventures of Tintin',\n",
       " 'Harry Potter and the Prisoner of Azkaban',\n",
       " 'Australia',\n",
       " 'After Earth',\n",
       " 'Dinosaur',\n",
       " 'Night at the Museum: Secret of the Tomb',\n",
       " 'Megamind',\n",
       " \"Harry Potter and the Philosopher's Stone\",\n",
       " 'R.I.P.D.',\n",
       " 'Pirates of the Caribbean: The Curse of the Black Pearl',\n",
       " 'The Hunger Games: Mockingjay - Part 1',\n",
       " 'The Da Vinci Code',\n",
       " 'Rio 2',\n",
       " 'X2',\n",
       " 'Fast Five',\n",
       " 'Sherlock Holmes: A Game of Shadows',\n",
       " 'Clash of the Titans',\n",
       " 'Total Recall',\n",
       " 'The 13th Warrior',\n",
       " 'The Bourne Legacy',\n",
       " 'Batman & Robin',\n",
       " 'How the Grinch Stole Christmas',\n",
       " 'The Day After Tomorrow',\n",
       " 'Mission: Impossible II',\n",
       " 'The Perfect Storm',\n",
       " '4: Rise of the Silver Surfer',\n",
       " 'Life of Pi',\n",
       " 'Ghost Rider',\n",
       " 'Jason Bourne',\n",
       " \"Charlie's Angels: Full Throttle\",\n",
       " 'Prometheus',\n",
       " 'Stuart Little 2',\n",
       " 'Elysium',\n",
       " 'The Chronicles of Riddick',\n",
       " 'RoboCop',\n",
       " 'Speed Racer',\n",
       " 'How Do You Know',\n",
       " 'Knight and Day',\n",
       " 'Oblivion',\n",
       " 'Star Wars: Episode III - Revenge of the Sith',\n",
       " 'Star Wars: Episode II - Attack of the Clones',\n",
       " 'Monsters, Inc.',\n",
       " 'The Wolverine',\n",
       " 'Star Wars: Episode I - The Phantom Menace',\n",
       " 'The Croods',\n",
       " 'Astérix aux Jeux Olympiques',\n",
       " 'Windtalkers',\n",
       " \"The Huntsman: Winter's War\",\n",
       " 'Teenage Mutant Ninja Turtles',\n",
       " 'Gravity',\n",
       " \"Dante's Peak\",\n",
       " 'Teenage Mutant Ninja Turtles: Out of the Shadows',\n",
       " 'Fantastic Four',\n",
       " 'Night at the Museum',\n",
       " 'San Andreas',\n",
       " 'Tomorrow Never Dies',\n",
       " 'The Patriot',\n",
       " \"Ocean's Twelve\",\n",
       " 'Mr. & Mrs. Smith',\n",
       " 'Insurgent',\n",
       " 'The Aviator',\n",
       " \"Gulliver's Travels\",\n",
       " 'The Green Hornet',\n",
       " '300: Rise of an Empire',\n",
       " 'The Smurfs',\n",
       " 'Home on the Range',\n",
       " 'Allegiant',\n",
       " 'Real Steel',\n",
       " 'The Smurfs 2',\n",
       " 'Speed 2: Cruise Control',\n",
       " \"Ender's Game\",\n",
       " 'Live Free or Die Hard',\n",
       " 'The Lord of the Rings: The Fellowship of the Ring',\n",
       " 'Around the World in 80 Days',\n",
       " 'Ali',\n",
       " 'The Cat in the Hat',\n",
       " 'I, Robot',\n",
       " 'Kingdom of Heaven',\n",
       " 'Stuart Little',\n",
       " 'The Princess and the Frog',\n",
       " 'The Martian',\n",
       " 'The Island',\n",
       " 'Town & Country',\n",
       " 'Gone in Sixty Seconds',\n",
       " 'Gladiator',\n",
       " 'Minority Report',\n",
       " 'Harry Potter and the Chamber of Secrets',\n",
       " 'Casino Royale',\n",
       " 'Planet of the Apes',\n",
       " 'Terminator 2: Judgment Day',\n",
       " 'Public Enemies',\n",
       " 'American Gangster',\n",
       " 'True Lies',\n",
       " 'The Taking of Pelham 1 2 3',\n",
       " 'Little Fockers',\n",
       " 'The Other Guys',\n",
       " 'Eraser',\n",
       " 'Django Unchained',\n",
       " 'The Hunchback of Notre Dame',\n",
       " \"The Emperor's New Groove\",\n",
       " 'The Expendables 2',\n",
       " 'National Treasure',\n",
       " 'Eragon',\n",
       " 'Where the Wild Things Are',\n",
       " 'Epic',\n",
       " 'The Tourist',\n",
       " 'End of Days',\n",
       " 'Blood Diamond',\n",
       " 'The Wolf of Wall Street',\n",
       " 'Batman Forever',\n",
       " 'Starship Troopers',\n",
       " 'Cloud Atlas',\n",
       " \"Legend of the Guardians: The Owls of Ga'Hoole\",\n",
       " 'Catwoman',\n",
       " 'Hercules',\n",
       " 'Treasure Planet',\n",
       " 'Land of the Lost',\n",
       " 'The Expendables 3',\n",
       " 'Point Break',\n",
       " 'Son of the Mask',\n",
       " 'In the Heart of the Sea',\n",
       " 'The Adventures of Pluto Nash',\n",
       " 'Green Zone',\n",
       " 'The Peanuts Movie',\n",
       " 'The Spanish Prisoner',\n",
       " 'The Mummy Returns',\n",
       " 'Gangs of New York',\n",
       " '金陵十三釵',\n",
       " \"Surf's Up\",\n",
       " 'The Stepford Wives',\n",
       " 'Black Hawk Down',\n",
       " 'The Campaign',\n",
       " 'The Fifth Element',\n",
       " 'Sex and the City 2',\n",
       " 'The Road to El Dorado',\n",
       " 'Ice Age: Continental Drift',\n",
       " 'Cinderella',\n",
       " 'The Lovely Bones',\n",
       " 'Finding Nemo',\n",
       " 'The Lord of the Rings: The Return of the King',\n",
       " 'The Lord of the Rings: The Two Towers',\n",
       " 'Seventh Son',\n",
       " 'Lara Croft: Tomb Raider',\n",
       " 'Transcendence',\n",
       " 'Jurassic Park III',\n",
       " 'Rise of the Planet of the Apes',\n",
       " 'The Spiderwick Chronicles',\n",
       " 'A Good Day to Die Hard',\n",
       " 'The Alamo',\n",
       " 'The Incredibles',\n",
       " 'Cutthroat Island',\n",
       " 'Percy Jackson & the Olympians: The Lightning Thief',\n",
       " 'Men in Black',\n",
       " 'Toy Story 2',\n",
       " 'Unstoppable',\n",
       " 'Rush Hour 2',\n",
       " 'What Lies Beneath',\n",
       " 'Cloudy with a Chance of Meatballs',\n",
       " 'Ice Age: Dawn of the Dinosaurs',\n",
       " 'The Secret Life of Walter Mitty',\n",
       " \"Charlie's Angels\",\n",
       " 'The Departed',\n",
       " 'Mulan',\n",
       " 'Tropic Thunder',\n",
       " 'The Girl with the Dragon Tattoo',\n",
       " 'Die Hard: With a Vengeance',\n",
       " 'Sherlock Holmes',\n",
       " 'Ben-Hur',\n",
       " 'Atlantis: The Lost Empire',\n",
       " 'Alvin and the Chipmunks: The Road Chip',\n",
       " 'Valkyrie',\n",
       " \"You Don't Mess with the Zohan\",\n",
       " 'Pixels',\n",
       " 'A.I. Artificial Intelligence',\n",
       " 'The Haunted Mansion',\n",
       " 'Contact',\n",
       " 'Hollow Man',\n",
       " 'The Interpreter',\n",
       " 'Percy Jackson: Sea of Monsters',\n",
       " 'Lara Croft Tomb Raider: The Cradle of Life',\n",
       " 'Now You See Me 2',\n",
       " 'The Saint',\n",
       " 'Spy Game',\n",
       " 'Mission to Mars',\n",
       " 'Rio',\n",
       " 'Bicentennial Man',\n",
       " 'Volcano',\n",
       " \"The Devil's Own\",\n",
       " 'K-19: The Widowmaker',\n",
       " 'Conan the Barbarian',\n",
       " 'Cinderella Man',\n",
       " 'The Nutcracker: The Untold Story',\n",
       " 'Seabiscuit',\n",
       " 'Twister',\n",
       " 'Cast Away',\n",
       " 'Happy Feet',\n",
       " 'The Bourne Supremacy',\n",
       " 'Air Force One',\n",
       " \"Ocean's Eleven\",\n",
       " 'The Three Musketeers',\n",
       " 'Hotel Transylvania',\n",
       " 'Enchanted',\n",
       " 'Safe House',\n",
       " '102 Dalmatians',\n",
       " 'Tower Heist',\n",
       " 'The Holiday',\n",
       " 'Enemy of the State',\n",
       " \"It's Complicated\",\n",
       " \"Ocean's Thirteen\",\n",
       " 'Open Season',\n",
       " 'Divergent',\n",
       " 'Enemy at the Gates',\n",
       " 'The Rundown',\n",
       " 'Last Action Hero',\n",
       " 'Memoirs of a Geisha',\n",
       " 'The Fast and the Furious: Tokyo Drift',\n",
       " 'Arthur Christmas',\n",
       " 'Meet Joe Black',\n",
       " 'Collateral Damage',\n",
       " 'All That Jazz',\n",
       " 'Mirror Mirror',\n",
       " 'Scott Pilgrim vs. the World',\n",
       " 'The Core',\n",
       " 'Nutty Professor II: The Klumps',\n",
       " 'Scooby-Doo',\n",
       " 'Dredd',\n",
       " 'Click',\n",
       " 'Creepshow',\n",
       " 'Cats & Dogs 2 : The Revenge of Kitty Galore',\n",
       " 'Jumper',\n",
       " 'Hellboy II: The Golden Army',\n",
       " 'Zodiac',\n",
       " 'The 6th Day',\n",
       " 'Bruce Almighty',\n",
       " 'The Expendables',\n",
       " 'Mission: Impossible',\n",
       " 'The Hunger Games',\n",
       " 'The Hangover Part II',\n",
       " 'Batman Returns',\n",
       " 'Over the Hedge',\n",
       " 'Lilo & Stitch',\n",
       " \"Charlotte's Web\",\n",
       " 'Deep Impact',\n",
       " 'RED 2',\n",
       " 'The Longest Yard',\n",
       " 'Alvin and the Chipmunks: Chipwrecked',\n",
       " 'Grown Ups 2',\n",
       " 'Get Smart',\n",
       " \"Something's Gotta Give\",\n",
       " 'Shutter Island',\n",
       " 'Four Christmases',\n",
       " 'Robots',\n",
       " 'Face/Off',\n",
       " 'Bedtime Stories',\n",
       " 'Road to Perdition',\n",
       " 'Just Go with It',\n",
       " 'Con Air',\n",
       " 'Eagle Eye',\n",
       " 'Cold Mountain',\n",
       " 'The Book of Eli',\n",
       " 'Flubber',\n",
       " 'The Haunting',\n",
       " 'Space Jam',\n",
       " 'The Pink Panther',\n",
       " 'The Day the Earth Stood Still',\n",
       " 'Conspiracy Theory',\n",
       " 'Fury',\n",
       " 'Six Days Seven Nights',\n",
       " 'Yogi Bear',\n",
       " 'Spirit: Stallion of the Cimarron',\n",
       " 'Zookeeper',\n",
       " 'Lost in Space',\n",
       " 'The Manchurian Candidate',\n",
       " 'Déjà Vu',\n",
       " 'Hotel Transylvania 2',\n",
       " 'Fantasia 2000',\n",
       " 'The Time Machine',\n",
       " 'Mighty Joe Young',\n",
       " 'Swordfish',\n",
       " 'The Legend of Zorro',\n",
       " 'What Dreams May Come',\n",
       " 'Little Nicky',\n",
       " 'The Brothers Grimm',\n",
       " 'Mars Attacks!',\n",
       " 'Évolution',\n",
       " 'The Edge',\n",
       " 'Surrogates',\n",
       " 'Thirteen Days',\n",
       " 'Daylight',\n",
       " 'Walking With Dinosaurs',\n",
       " 'Battlefield Earth',\n",
       " 'Looney Tunes: Back in Action',\n",
       " 'Nine',\n",
       " 'Timeline',\n",
       " 'The Postman',\n",
       " 'Babe: Pig in the City',\n",
       " 'The Last Witch Hunter',\n",
       " 'Red Planet',\n",
       " 'Arthur et les Minimoys',\n",
       " 'Oceans',\n",
       " 'A Sound of Thunder',\n",
       " 'Pompeii',\n",
       " 'Don Gato: El inicio de la pandilla',\n",
       " 'A Beautiful Mind',\n",
       " 'The Lion King',\n",
       " 'Journey 2: The Mysterious Island',\n",
       " 'Cloudy with a Chance of Meatballs 2',\n",
       " 'Red Dragon',\n",
       " 'Hidalgo',\n",
       " 'Jack and Jill',\n",
       " '2 Fast 2 Furious',\n",
       " 'The Little Prince',\n",
       " 'The Invasion',\n",
       " 'The Adventures of Rocky & Bullwinkle',\n",
       " 'The Secret Life of Pets',\n",
       " 'The League of Extraordinary Gentlemen',\n",
       " 'Despicable Me 2',\n",
       " 'Independence Day',\n",
       " 'The Lost World: Jurassic Park',\n",
       " 'Madagascar',\n",
       " 'Children of Men',\n",
       " 'X-Men',\n",
       " 'Wanted',\n",
       " 'The Rock',\n",
       " 'Ice Age: The Meltdown',\n",
       " '50 First Dates',\n",
       " 'Hairspray',\n",
       " 'Exorcist: The Beginning',\n",
       " 'Inspector Gadget',\n",
       " 'Now You See Me',\n",
       " 'Grown Ups',\n",
       " 'The Terminal',\n",
       " 'Hotel for Dogs',\n",
       " 'Vertical Limit',\n",
       " \"Charlie Wilson's War\",\n",
       " 'Shark Tale',\n",
       " 'Dreamgirls',\n",
       " 'Be Cool',\n",
       " 'Munich',\n",
       " 'Tears of the Sun',\n",
       " 'Killers',\n",
       " 'The Man from U.N.C.L.E.',\n",
       " 'Spanglish',\n",
       " 'Monster House',\n",
       " 'Bandits',\n",
       " 'First Knight',\n",
       " 'Anna and the King',\n",
       " 'Immortals',\n",
       " 'Hostage',\n",
       " 'Titan A.E.',\n",
       " 'Hollywood Homicide',\n",
       " 'Soldier',\n",
       " 'Carriers',\n",
       " 'Monkeybone',\n",
       " 'Flight of the Phoenix',\n",
       " 'Unbreakable',\n",
       " 'Minions',\n",
       " 'Sucker Punch',\n",
       " 'Snake Eyes',\n",
       " 'Sphere',\n",
       " 'The Angry Birds Movie',\n",
       " \"Fool's Gold\",\n",
       " 'Funny People',\n",
       " 'The Kingdom',\n",
       " 'Talladega Nights: The Ballad of Ricky Bobby',\n",
       " 'Dr. Dolittle 2',\n",
       " 'Braveheart',\n",
       " 'Jarhead',\n",
       " 'The Simpsons Movie',\n",
       " 'The Majestic',\n",
       " 'Driven',\n",
       " 'Deux frères',\n",
       " 'The Village',\n",
       " 'Doctor Dolittle',\n",
       " 'Signs',\n",
       " 'Shrek 2',\n",
       " 'Cars',\n",
       " 'Runaway Bride',\n",
       " 'xXx',\n",
       " 'The SpongeBob Movie: Sponge Out of Water',\n",
       " 'Ransom',\n",
       " 'Inglourious Basterds',\n",
       " 'Hook',\n",
       " 'Die Hard 2',\n",
       " 'S.W.A.T.',\n",
       " 'Vanilla Sky',\n",
       " 'Lady in the Water',\n",
       " 'AVP: Alien vs. Predator',\n",
       " 'Alvin and the Chipmunks: The Squeakquel',\n",
       " 'We Were Soldiers',\n",
       " 'Olympus Has Fallen',\n",
       " 'Star Trek: Insurrection',\n",
       " 'Battle: Los Angeles',\n",
       " 'Big Fish',\n",
       " 'Wolf',\n",
       " 'War Horse',\n",
       " 'The Monuments Men',\n",
       " 'The Abyss',\n",
       " 'Wall Street: Money Never Sleeps',\n",
       " 'Dracula Untold',\n",
       " 'The Siege',\n",
       " 'Stardust',\n",
       " 'Seven Years in Tibet',\n",
       " 'The Dilemma',\n",
       " 'Bad Company',\n",
       " 'Doom',\n",
       " 'I Spy',\n",
       " 'Underworld: Awakening',\n",
       " 'Rock of Ages',\n",
       " \"Hart's War\",\n",
       " 'Killer Elite',\n",
       " 'Rollerball',\n",
       " 'Ballistic: Ecks vs. Sever',\n",
       " 'Hard Rain',\n",
       " 'Osmosis Jones',\n",
       " \"Legends of Oz: Dorothy's Return\",\n",
       " 'Blackhat',\n",
       " 'Sky Captain and the World of Tomorrow',\n",
       " 'Basic Instinct 2',\n",
       " 'Escape Plan',\n",
       " 'The Legend of Hercules',\n",
       " 'The Sum of All Fears',\n",
       " 'The Twilight Saga: Eclipse',\n",
       " 'The Score',\n",
       " 'Despicable Me',\n",
       " 'Money Train',\n",
       " 'Ted 2',\n",
       " 'Agora',\n",
       " 'Mystery Men',\n",
       " 'Hall Pass',\n",
       " 'The Insider',\n",
       " 'The Finest Hours',\n",
       " 'Body of Lies',\n",
       " 'Dinner for Schmucks',\n",
       " 'Abraham Lincoln: Vampire Hunter',\n",
       " 'Entrapment',\n",
       " 'The X Files',\n",
       " 'The Last Legion',\n",
       " 'Saving Private Ryan',\n",
       " 'Need for Speed',\n",
       " 'What Women Want',\n",
       " 'Ice Age',\n",
       " 'Dreamcatcher',\n",
       " 'Lincoln',\n",
       " 'The Matrix',\n",
       " 'Apollo 13',\n",
       " 'The Santa Clause 2',\n",
       " 'Les Misérables',\n",
       " \"You've Got Mail\",\n",
       " 'Step Brothers',\n",
       " 'The Mask of Zorro',\n",
       " 'Due Date',\n",
       " 'Unbroken',\n",
       " 'Space Cowboys',\n",
       " 'Cliffhanger',\n",
       " 'Broken Arrow',\n",
       " 'The Kid',\n",
       " 'World Trade Center',\n",
       " 'Mona Lisa Smile',\n",
       " 'The Dictator',\n",
       " 'Eyes Wide Shut',\n",
       " 'Annie',\n",
       " 'Focus',\n",
       " 'This Means War',\n",
       " 'Blade: Trinity',\n",
       " 'Red Dawn',\n",
       " 'Primary Colors',\n",
       " 'Resident Evil: Retribution',\n",
       " 'Death Race',\n",
       " 'The Long Kiss Goodnight',\n",
       " 'Proof of Life',\n",
       " 'Zathura: A Space Adventure',\n",
       " 'Fight Club',\n",
       " 'We Are Marshall',\n",
       " 'Hudson Hawk',\n",
       " 'Lucky Numbers',\n",
       " 'I, Frankenstein',\n",
       " 'Oliver Twist',\n",
       " 'Elektra',\n",
       " 'Sin City: A Dame to Kill For',\n",
       " 'Random Hearts',\n",
       " 'Everest',\n",
       " 'Perfume: The Story of a Murderer',\n",
       " 'Austin Powers in Goldmember',\n",
       " 'Astro Boy',\n",
       " 'Jurassic Park',\n",
       " 'Wyatt Earp',\n",
       " 'Clear and Present Danger',\n",
       " '天將雄師',\n",
       " 'Little Man',\n",
       " 'U-571',\n",
       " 'The American President',\n",
       " 'The Love Guru',\n",
       " '3000 Miles to Graceland',\n",
       " 'The Hateful Eight',\n",
       " 'Blades of Glory',\n",
       " 'Hop',\n",
       " '300',\n",
       " 'Meet the Fockers',\n",
       " 'Marley & Me',\n",
       " 'The Green Mile',\n",
       " 'Wild Hogs',\n",
       " 'Chicken Little',\n",
       " 'Gone Girl',\n",
       " 'The Bourne Identity',\n",
       " 'GoldenEye',\n",
       " \"The General's Daughter\",\n",
       " 'The Truman Show',\n",
       " 'The Prince of Egypt',\n",
       " 'Daddy Day Care',\n",
       " '2 Guns',\n",
       " 'Cats & Dogs',\n",
       " 'The Italian Job',\n",
       " 'Two Weeks Notice',\n",
       " 'Antz',\n",
       " 'Couples Retreat',\n",
       " 'Days of Thunder',\n",
       " 'Cheaper by the Dozen 2',\n",
       " 'Maze Runner: The Scorch Trials',\n",
       " 'Eat Pray Love',\n",
       " 'The Family Man',\n",
       " 'RED',\n",
       " 'Any Given Sunday',\n",
       " 'The Horse Whisperer',\n",
       " 'Collateral',\n",
       " 'The Scorpion King',\n",
       " 'Ladder 49',\n",
       " 'Jack Reacher',\n",
       " 'Deep Blue Sea',\n",
       " \"Michael Jackson's This Is It\",\n",
       " 'Contagion',\n",
       " 'Kangaroo Jack',\n",
       " 'Coraline',\n",
       " 'The Happening',\n",
       " 'Man on Fire',\n",
       " 'The Shaggy Dog',\n",
       " 'Starsky & Hutch',\n",
       " 'Jingle All the Way',\n",
       " 'Hellboy',\n",
       " 'A Civil Action',\n",
       " 'ParaNorman',\n",
       " 'The Jackal',\n",
       " 'Paycheck',\n",
       " 'Up Close & Personal',\n",
       " 'The Tale of Despereaux',\n",
       " 'The Tuxedo',\n",
       " 'Under Siege 2: Dark Territory',\n",
       " 'Jack Ryan: Shadow Recruit',\n",
       " 'Joy',\n",
       " 'London Has Fallen',\n",
       " 'Alien: Resurrection',\n",
       " 'Shooter',\n",
       " 'The Boxtrolls',\n",
       " 'Practical Magic',\n",
       " 'The Lego Movie',\n",
       " 'Miss Congeniality 2: Armed and Fabulous',\n",
       " 'Reign of Fire',\n",
       " 'Gangster Squad',\n",
       " 'Year One',\n",
       " 'Invictus',\n",
       " 'State of Play',\n",
       " 'Duplicity',\n",
       " 'My Favorite Martian',\n",
       " 'The Sentinel',\n",
       " 'Planet 51',\n",
       " 'Star Trek: Nemesis',\n",
       " 'Intolerable Cruelty',\n",
       " 'Trouble with the Curve',\n",
       " 'Edge of Darkness',\n",
       " 'The Relic',\n",
       " 'Analyze That',\n",
       " 'Righteous Kill',\n",
       " 'Mercury Rising',\n",
       " 'The Soloist',\n",
       " 'The Legend of Bagger Vance',\n",
       " 'Almost Famous',\n",
       " 'Garfield: A Tail of Two Kitties',\n",
       " 'xXx: State of the Union',\n",
       " 'Priest',\n",
       " 'Sinbad: Legend of the Seven Seas',\n",
       " 'Event Horizon',\n",
       " 'Dragonfly',\n",
       " 'The Black Dahlia',\n",
       " 'Flyboys',\n",
       " 'The Last Castle',\n",
       " 'Supernova',\n",
       " \"Winter's Tale\",\n",
       " 'The Mortal Instruments: City of Bones',\n",
       " 'Meet Dave',\n",
       " 'Dark Water',\n",
       " 'Edtv',\n",
       " 'Inkheart',\n",
       " 'The Spirit',\n",
       " 'Mortdecai',\n",
       " 'In the Name of the King: A Dungeon Siege Tale',\n",
       " 'Beyond Borders',\n",
       " '西游记之孙悟空三打白骨精',\n",
       " 'The Great Raid',\n",
       " 'Deadpool',\n",
       " 'Holy Man',\n",
       " 'American Sniper',\n",
       " 'Goosebumps',\n",
       " 'Just Like Heaven',\n",
       " 'The Flintstones in Viva Rock Vegas',\n",
       " 'Rambo III',\n",
       " 'Leatherheads',\n",
       " 'The Ridiculous 6',\n",
       " 'Did You Hear About the Morgans?',\n",
       " 'The Internship',\n",
       " 'Resident Evil: Afterlife',\n",
       " 'Red Tails',\n",
       " \"The Devil's Advocate\",\n",
       " \"That's My Boy\",\n",
       " 'DragonHeart',\n",
       " 'After the Sunset',\n",
       " 'Ghost Rider: Spirit of Vengeance',\n",
       " \"Captain Corelli's Mandolin\",\n",
       " 'The Pacifier',\n",
       " 'Walking Tall',\n",
       " 'Forrest Gump',\n",
       " 'Alvin and the Chipmunks',\n",
       " 'Meet the Parents',\n",
       " 'Pocahontas',\n",
       " 'Superman',\n",
       " 'The Nutty Professor',\n",
       " 'Hitch',\n",
       " 'George of the Jungle',\n",
       " 'American Wedding',\n",
       " 'Captain Phillips',\n",
       " 'Date Night',\n",
       " 'Casper',\n",
       " 'The Equalizer',\n",
       " 'Maid in Manhattan',\n",
       " 'Crimson Tide',\n",
       " 'The Pursuit of Happyness',\n",
       " 'Flightplan',\n",
       " 'Disclosure',\n",
       " 'City of Angels',\n",
       " 'Kill Bill: Vol. 1',\n",
       " 'Bowfinger',\n",
       " 'Kill Bill: Vol. 2',\n",
       " 'Tango & Cash',\n",
       " 'Death Becomes Her',\n",
       " 'Shanghai Noon',\n",
       " 'Executive Decision',\n",
       " \"Mr. Popper's Penguins\",\n",
       " 'The Forbidden Kingdom',\n",
       " 'Free Birds',\n",
       " 'Alien³',\n",
       " 'Evita',\n",
       " 'Ronin',\n",
       " 'The Ghost and the Darkness',\n",
       " 'Paddington',\n",
       " 'The Watch',\n",
       " 'The Hunted',\n",
       " 'Instinct',\n",
       " 'Stuck on You',\n",
       " 'Semi-Pro',\n",
       " 'The Pirates! In an Adventure with Scientists!',\n",
       " 'Changeling',\n",
       " 'Chain Reaction',\n",
       " 'The Fan',\n",
       " 'The Phantom of the Opera',\n",
       " 'Elizabeth: The Golden Age',\n",
       " 'Æon Flux',\n",
       " 'Gods and Generals',\n",
       " 'Turbulence',\n",
       " 'Imagine That',\n",
       " 'Muppets Most Wanted',\n",
       " 'Thunderbirds',\n",
       " 'Burlesque',\n",
       " 'Un long dimanche de fiançailles',\n",
       " 'Lolita',\n",
       " 'D-Tox',\n",
       " 'Blade II',\n",
       " 'Seven Pounds',\n",
       " 'Bullet to the Head',\n",
       " 'The Godfather: Part III',\n",
       " 'Elizabethtown',\n",
       " 'You, Me and Dupree',\n",
       " 'Superman II',\n",
       " 'Gigli',\n",
       " \"All the King's Men\",\n",
       " 'Shaft',\n",
       " 'Anastasia',\n",
       " 'Moulin Rouge!',\n",
       " 'Domestic Disturbance',\n",
       " 'Black Mass',\n",
       " 'Flags of Our Fathers',\n",
       " 'Law Abiding Citizen',\n",
       " 'Grindhouse',\n",
       " 'Beloved',\n",
       " 'Lucky You',\n",
       " 'Catch Me If You Can',\n",
       " 'Zero Dark Thirty',\n",
       " 'The Break-Up',\n",
       " 'Mamma Mia!',\n",
       " \"Valentine's Day\",\n",
       " 'The Dukes of Hazzard',\n",
       " 'The Thin Red Line',\n",
       " 'The Change-Up',\n",
       " 'Man on the Moon',\n",
       " 'Casino',\n",
       " 'From Paris with Love',\n",
       " 'Bulletproof Monk',\n",
       " 'Me, Myself & Irene',\n",
       " 'Barnyard',\n",
       " 'Deck the Halls',\n",
       " 'The Twilight Saga: New Moon',\n",
       " 'Shrek',\n",
       " 'The Adjustment Bureau',\n",
       " 'Robin Hood: Prince of Thieves',\n",
       " 'Jerry Maguire',\n",
       " 'Ted',\n",
       " 'As Good as It Gets',\n",
       " 'Patch Adams',\n",
       " 'Anchorman 2: The Legend Continues',\n",
       " 'Mr. Deeds',\n",
       " 'Super 8',\n",
       " 'Erin Brockovich',\n",
       " 'How to Lose a Guy in 10 Days',\n",
       " '22 Jump Street',\n",
       " 'Interview with the Vampire',\n",
       " 'Yes Man',\n",
       " 'Central Intelligence',\n",
       " 'Stepmom',\n",
       " \"Daddy's Home\",\n",
       " 'Into the Woods',\n",
       " 'Inside Man',\n",
       " 'Payback',\n",
       " 'Congo',\n",
       " 'We Bought a Zoo',\n",
       " 'Knowing',\n",
       " 'Failure to Launch',\n",
       " 'The Ring Two',\n",
       " 'Crazy, Stupid, Love.',\n",
       " 'Garfield',\n",
       " 'Christmas with the Kranks',\n",
       " 'Moneyball',\n",
       " 'Outbreak',\n",
       " 'Non-Stop',\n",
       " 'Race to Witch Mountain',\n",
       " 'V for Vendetta',\n",
       " 'Shanghai Knights',\n",
       " 'Curious George',\n",
       " 'Herbie Fully Loaded',\n",
       " \"Don't Say a Word\",\n",
       " 'Hansel & Gretel: Witch Hunters',\n",
       " 'Unfaithful',\n",
       " 'I Am Number Four',\n",
       " 'Syriana',\n",
       " '13 Hours: The Secret Soldiers of Benghazi',\n",
       " 'The Book of Life',\n",
       " 'Firewall',\n",
       " 'Absolute Power',\n",
       " 'G.I. Jane',\n",
       " 'The Game',\n",
       " 'Silent Hill',\n",
       " 'The Replacements',\n",
       " 'American Reunion',\n",
       " 'The Negotiator',\n",
       " 'Into the Storm',\n",
       " 'Beverly Hills Cop III',\n",
       " 'Gremlins 2: The New Batch',\n",
       " 'The Judge',\n",
       " 'The Peacemaker',\n",
       " 'Resident Evil: Apocalypse',\n",
       " 'Bridget Jones: The Edge of Reason',\n",
       " 'Out of Time',\n",
       " 'On Deadly Ground',\n",
       " 'The Adventures of Sharkboy and Lavagirl',\n",
       " 'The Beach',\n",
       " 'Raising Helen',\n",
       " 'Ninja Assassin',\n",
       " 'For Love of the Game',\n",
       " 'Striptease',\n",
       " 'Marmaduke',\n",
       " 'Hereafter',\n",
       " 'Murder by Numbers',\n",
       " 'Assassins',\n",
       " 'Hannibal Rising',\n",
       " 'The Story of Us',\n",
       " 'The Host',\n",
       " 'Basic',\n",
       " 'Blood Work',\n",
       " 'The International',\n",
       " 'Escape from L.A.',\n",
       " 'The Iron Giant',\n",
       " 'The Life Aquatic with Steve Zissou',\n",
       " 'Free State of Jones',\n",
       " 'The Life of David Gale',\n",
       " 'Man of the House',\n",
       " 'Run All Night',\n",
       " 'Eastern Promises',\n",
       " 'Into the Blue',\n",
       " 'Joan of Arc',\n",
       " 'Your Highness',\n",
       " 'Dream House',\n",
       " 'Mad City',\n",
       " \"Baby's Day Out\",\n",
       " 'The Scarlet Letter',\n",
       " 'Fair Game',\n",
       " 'Domino',\n",
       " 'Jade',\n",
       " 'Gamer',\n",
       " 'Beautiful Creatures',\n",
       " 'Death to Smoochy',\n",
       " 'Zoolander 2',\n",
       " 'The Big Bounce',\n",
       " 'What Planet Are You From?',\n",
       " ...]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_name = df.to_list()\n",
    "movie_name"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77b200bb",
   "metadata": {},
   "source": [
    "## Tokenizing the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6a402aab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[1564],\n",
       " [210, 2, 1, 431, 47, 432, 72],\n",
       " [1565],\n",
       " [1, 52, 211, 1566],\n",
       " [212, 601],\n",
       " [213, 8, 21],\n",
       " [1567],\n",
       " [902, 146, 2, 1568],\n",
       " [110, 214, 4, 1, 433, 53, 147],\n",
       " [173, 340, 261, 85, 2, 903]]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#tokenizer\n",
    "tokenizer = tf.keras.preprocessing.text.Tokenizer()\n",
    "tokenizer.fit_on_texts(movie_name)\n",
    "seq = tokenizer.texts_to_sequences(movie_name)\n",
    "seq[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cf83f2db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'the': 1,\n",
       " 'of': 2,\n",
       " 'a': 3,\n",
       " 'and': 4,\n",
       " 'in': 5,\n",
       " '2': 6,\n",
       " 'to': 7,\n",
       " 'man': 8,\n",
       " 'i': 9,\n",
       " 'love': 10,\n",
       " 'with': 11,\n",
       " 'on': 12,\n",
       " 'me': 13,\n",
       " 'my': 14,\n",
       " 'movie': 15,\n",
       " 'you': 16,\n",
       " 'dead': 17,\n",
       " 'last': 18,\n",
       " 'for': 19,\n",
       " 'from': 20,\n",
       " '3': 21,\n",
       " 'good': 22,\n",
       " 'big': 23,\n",
       " 'day': 24,\n",
       " 'house': 25,\n",
       " 'ii': 26,\n",
       " 'american': 27,\n",
       " 'men': 28,\n",
       " 'it': 29,\n",
       " 'story': 30,\n",
       " 'life': 31,\n",
       " 'black': 32,\n",
       " 'girl': 33,\n",
       " 'all': 34,\n",
       " 'out': 35,\n",
       " 'time': 36,\n",
       " 'night': 37,\n",
       " 'is': 38,\n",
       " 'world': 39,\n",
       " 'days': 40,\n",
       " 'star': 41,\n",
       " 'part': 42,\n",
       " 'new': 43,\n",
       " 'de': 44,\n",
       " 'little': 45,\n",
       " 'la': 46,\n",
       " 'at': 47,\n",
       " 'up': 48,\n",
       " 'an': 49,\n",
       " 'die': 50,\n",
       " 'city': 51,\n",
       " 'dark': 52,\n",
       " 'blood': 53,\n",
       " 'game': 54,\n",
       " 'one': 55,\n",
       " 'red': 56,\n",
       " 'blue': 57,\n",
       " 'your': 58,\n",
       " 'iii': 59,\n",
       " 'kill': 60,\n",
       " 'war': 61,\n",
       " 'white': 62,\n",
       " 'street': 63,\n",
       " 'lost': 64,\n",
       " 'christmas': 65,\n",
       " 'legend': 66,\n",
       " 'wild': 67,\n",
       " 'how': 68,\n",
       " 'road': 69,\n",
       " 'boys': 70,\n",
       " 'high': 71,\n",
       " 'end': 72,\n",
       " 'down': 73,\n",
       " 'home': 74,\n",
       " 'hard': 75,\n",
       " 'boy': 76,\n",
       " 'year': 77,\n",
       " 'like': 78,\n",
       " 'x': 79,\n",
       " 'bad': 80,\n",
       " 'do': 81,\n",
       " 'get': 82,\n",
       " 'back': 83,\n",
       " 'about': 84,\n",
       " 'dawn': 85,\n",
       " 'trek': 86,\n",
       " 'first': 87,\n",
       " 'mr': 88,\n",
       " 'final': 89,\n",
       " 'two': 90,\n",
       " 'secret': 91,\n",
       " 'that': 92,\n",
       " 'we': 93,\n",
       " 'no': 94,\n",
       " 'dragon': 95,\n",
       " 'planet': 96,\n",
       " 'mad': 97,\n",
       " 'earth': 98,\n",
       " 'never': 99,\n",
       " 'land': 100,\n",
       " 'return': 101,\n",
       " 'spy': 102,\n",
       " 'les': 103,\n",
       " 'evil': 104,\n",
       " 'death': 105,\n",
       " 'by': 106,\n",
       " 'le': 107,\n",
       " 'who': 108,\n",
       " 'friday': 109,\n",
       " 'harry': 110,\n",
       " 'fire': 111,\n",
       " 'escape': 112,\n",
       " '4': 113,\n",
       " 'four': 114,\n",
       " 'what': 115,\n",
       " 'this': 116,\n",
       " 'dog': 117,\n",
       " 'run': 118,\n",
       " 'best': 119,\n",
       " 'thing': 120,\n",
       " 'king': 121,\n",
       " 'america': 122,\n",
       " 'green': 123,\n",
       " 'vs': 124,\n",
       " 'rise': 125,\n",
       " 'snow': 126,\n",
       " 'after': 127,\n",
       " 'ghost': 128,\n",
       " 'perfect': 129,\n",
       " 'or': 130,\n",
       " 'island': 131,\n",
       " 'sea': 132,\n",
       " 'york': 133,\n",
       " 'state': 134,\n",
       " 'over': 135,\n",
       " 'go': 136,\n",
       " 'young': 137,\n",
       " 'tale': 138,\n",
       " 'be': 139,\n",
       " 'eyes': 140,\n",
       " 'water': 141,\n",
       " 'her': 142,\n",
       " 'cop': 143,\n",
       " 'baby': 144,\n",
       " 'gun': 145,\n",
       " 'age': 146,\n",
       " 'prince': 147,\n",
       " 'jones': 148,\n",
       " 'beyond': 149,\n",
       " 'joe': 150,\n",
       " 'inside': 151,\n",
       " 'not': 152,\n",
       " 'adventures': 153,\n",
       " 'd': 154,\n",
       " 'true': 155,\n",
       " 'just': 156,\n",
       " 'space': 157,\n",
       " 'brothers': 158,\n",
       " 'rock': 159,\n",
       " 'money': 160,\n",
       " 'got': 161,\n",
       " 'club': 162,\n",
       " 'family': 163,\n",
       " 'wedding': 164,\n",
       " 'our': 165,\n",
       " 'guy': 166,\n",
       " 'woman': 167,\n",
       " 'du': 168,\n",
       " 'when': 169,\n",
       " 'next': 170,\n",
       " 'girls': 171,\n",
       " 'saw': 172,\n",
       " 'batman': 173,\n",
       " 'monsters': 174,\n",
       " 'great': 175,\n",
       " 'jack': 176,\n",
       " 'moon': 177,\n",
       " 'witch': 178,\n",
       " 'book': 179,\n",
       " 'journey': 180,\n",
       " 'max': 181,\n",
       " '1': 182,\n",
       " '13th': 183,\n",
       " 'heaven': 184,\n",
       " 'other': 185,\n",
       " 'things': 186,\n",
       " 'el': 187,\n",
       " 'ice': 188,\n",
       " \"don't\": 189,\n",
       " \"devil's\": 190,\n",
       " 'hotel': 191,\n",
       " 'dogs': 192,\n",
       " 'e': 193,\n",
       " 'kid': 194,\n",
       " 'glory': 195,\n",
       " 'way': 196,\n",
       " 'hills': 197,\n",
       " 'dream': 198,\n",
       " 'drive': 199,\n",
       " 'room': 200,\n",
       " 'child': 201,\n",
       " 'texas': 202,\n",
       " 'hot': 203,\n",
       " 'midnight': 204,\n",
       " '3d': 205,\n",
       " 'diary': 206,\n",
       " 'school': 207,\n",
       " 'summer': 208,\n",
       " 'light': 209,\n",
       " 'pirates': 210,\n",
       " 'knight': 211,\n",
       " 'john': 212,\n",
       " 'spider': 213,\n",
       " 'potter': 214,\n",
       " 'iron': 215,\n",
       " 'revenge': 216,\n",
       " 'into': 217,\n",
       " 'darkness': 218,\n",
       " 'apes': 219,\n",
       " 'train': 220,\n",
       " 'games': 221,\n",
       " 'angels': 222,\n",
       " 'mission': 223,\n",
       " 'code': 224,\n",
       " 'know': 225,\n",
       " 'wars': 226,\n",
       " 'town': 227,\n",
       " 'are': 228,\n",
       " 'son': 229,\n",
       " 'heart': 230,\n",
       " 'sex': 231,\n",
       " 'park': 232,\n",
       " 'three': 233,\n",
       " 'meet': 234,\n",
       " 'deep': 235,\n",
       " 'eye': 236,\n",
       " 'seven': 237,\n",
       " 'bride': 238,\n",
       " 's': 239,\n",
       " '13': 240,\n",
       " 'kiss': 241,\n",
       " 'show': 242,\n",
       " 'michael': 243,\n",
       " 'under': 244,\n",
       " 'miss': 245,\n",
       " 'did': 246,\n",
       " 'super': 247,\n",
       " 'silent': 248,\n",
       " 'destination': 249,\n",
       " 'soul': 250,\n",
       " 'party': 251,\n",
       " 'nightmare': 252,\n",
       " 'walk': 253,\n",
       " 'too': 254,\n",
       " 'romeo': 255,\n",
       " 'call': 256,\n",
       " 'valley': 257,\n",
       " 'before': 258,\n",
       " 'married': 259,\n",
       " 'halloween': 260,\n",
       " 'superman': 261,\n",
       " 'battle': 262,\n",
       " 'five': 263,\n",
       " 'hood': 264,\n",
       " 'captain': 265,\n",
       " 'kingdom': 266,\n",
       " 'rush': 267,\n",
       " 'edge': 268,\n",
       " 'tomorrow': 269,\n",
       " 'mars': 270,\n",
       " 'wanted': 271,\n",
       " 'side': 272,\n",
       " 'happy': 273,\n",
       " 'stone': 274,\n",
       " 'curse': 275,\n",
       " 'jason': 276,\n",
       " 'teenage': 277,\n",
       " 'ninja': 278,\n",
       " 'real': 279,\n",
       " 'live': 280,\n",
       " 'princess': 281,\n",
       " 'country': 282,\n",
       " 'lies': 283,\n",
       " 'wolf': 284,\n",
       " 'now': 285,\n",
       " \"it's\": 286,\n",
       " 'open': 287,\n",
       " 'nights': 288,\n",
       " 'mighty': 289,\n",
       " 'walking': 290,\n",
       " 'hunter': 291,\n",
       " 'u': 292,\n",
       " 'l': 293,\n",
       " 'monster': 294,\n",
       " 'people': 295,\n",
       " 'lady': 296,\n",
       " 'vampire': 297,\n",
       " 'women': 298,\n",
       " 'step': 299,\n",
       " 'date': 300,\n",
       " 'broken': 301,\n",
       " 'long': 302,\n",
       " 'adventure': 303,\n",
       " 'lucky': 304,\n",
       " 'runner': 305,\n",
       " 'shadow': 306,\n",
       " 'london': 307,\n",
       " 'magic': 308,\n",
       " 'name': 309,\n",
       " 'vegas': 310,\n",
       " 'line': 311,\n",
       " 'paris': 312,\n",
       " '8': 313,\n",
       " '10': 314,\n",
       " 'crazy': 315,\n",
       " 'hill': 316,\n",
       " 'beverly': 317,\n",
       " 'work': 318,\n",
       " 'fat': 319,\n",
       " 'river': 320,\n",
       " 'dangerous': 321,\n",
       " 'kids': 322,\n",
       " 'again': 323,\n",
       " 'living': 324,\n",
       " 'lake': 325,\n",
       " 'sweet': 326,\n",
       " 'devil': 327,\n",
       " 'friends': 328,\n",
       " 'bang': 329,\n",
       " 'take': 330,\n",
       " 'greatest': 331,\n",
       " 'lives': 332,\n",
       " 'goes': 333,\n",
       " 'have': 334,\n",
       " 'top': 335,\n",
       " 'il': 336,\n",
       " 'brown': 337,\n",
       " 'paranormal': 338,\n",
       " 'activity': 339,\n",
       " 'v': 340,\n",
       " 'lone': 341,\n",
       " 'chronicles': 342,\n",
       " 'golden': 343,\n",
       " 'terminator': 344,\n",
       " 'hour': 345,\n",
       " 'west': 346,\n",
       " 'tomb': 347,\n",
       " 'forever': 348,\n",
       " 'fast': 349,\n",
       " 'hunger': 350,\n",
       " 'charlie': 351,\n",
       " 'force': 352,\n",
       " 'impossible': 353,\n",
       " 'away': 354,\n",
       " 'most': 355,\n",
       " 'another': 356,\n",
       " 'dick': 357,\n",
       " 'twilight': 358,\n",
       " 'bourne': 359,\n",
       " 'mutant': 360,\n",
       " 'lord': 361,\n",
       " 'gone': 362,\n",
       " 'where': 363,\n",
       " 'point': 364,\n",
       " 'zone': 365,\n",
       " 'thief': 366,\n",
       " 'saint': 367,\n",
       " 'air': 368,\n",
       " 'holiday': 369,\n",
       " 'cold': 370,\n",
       " 'pink': 371,\n",
       " 'still': 372,\n",
       " 'machine': 373,\n",
       " 'et': 374,\n",
       " 'don': 375,\n",
       " 'league': 376,\n",
       " 'hollywood': 377,\n",
       " 'funny': 378,\n",
       " 'dr': 379,\n",
       " 'alien': 380,\n",
       " 'soldiers': 381,\n",
       " 'los': 382,\n",
       " 'rain': 383,\n",
       " 'plan': 384,\n",
       " 'hours': 385,\n",
       " 'blade': 386,\n",
       " 'resident': 387,\n",
       " 'race': 388,\n",
       " 'play': 389,\n",
       " 'rising': 390,\n",
       " 'shanghai': 391,\n",
       " 'catch': 392,\n",
       " 'can': 393,\n",
       " 'stop': 394,\n",
       " 'number': 395,\n",
       " 'list': 396,\n",
       " 'along': 397,\n",
       " 'here': 398,\n",
       " 'double': 399,\n",
       " 'scream': 400,\n",
       " 'ride': 401,\n",
       " 'bridge': 402,\n",
       " '5': 403,\n",
       " 'art': 404,\n",
       " 'sunshine': 405,\n",
       " 'truth': 406,\n",
       " 'burn': 407,\n",
       " 'ghosts': 408,\n",
       " 'she': 409,\n",
       " 'there': 410,\n",
       " 'elm': 411,\n",
       " '40': 412,\n",
       " 'old': 413,\n",
       " 'queen': 414,\n",
       " 'will': 415,\n",
       " '9': 416,\n",
       " 'without': 417,\n",
       " '30': 418,\n",
       " 'running': 419,\n",
       " 'der': 420,\n",
       " 'cry': 421,\n",
       " 'welcome': 422,\n",
       " 'brother': 423,\n",
       " 'nothing': 424,\n",
       " \"she's\": 425,\n",
       " 'lights': 426,\n",
       " 'kind': 427,\n",
       " 'butterfly': 428,\n",
       " 'being': 429,\n",
       " 'they': 430,\n",
       " 'caribbean': 431,\n",
       " \"world's\": 432,\n",
       " 'half': 433,\n",
       " 'returns': 434,\n",
       " \"man's\": 435,\n",
       " 'steel': 436,\n",
       " 'stranger': 437,\n",
       " 'robin': 438,\n",
       " 'jurassic': 439,\n",
       " 'transformers': 440,\n",
       " 'oz': 441,\n",
       " 'furious': 442,\n",
       " 'z': 443,\n",
       " 'future': 444,\n",
       " 'past': 445,\n",
       " 'lion': 446,\n",
       " 'aliens': 447,\n",
       " 'g': 448,\n",
       " 'jungle': 449,\n",
       " 'soldier': 450,\n",
       " 'shrek': 451,\n",
       " 'hero': 452,\n",
       " 'glass': 453,\n",
       " 'am': 454,\n",
       " 'chocolate': 455,\n",
       " 'madagascar': 456,\n",
       " 'frozen': 457,\n",
       " 'wrath': 458,\n",
       " 'shadows': 459,\n",
       " 'kung': 460,\n",
       " 'jane': 461,\n",
       " 'gods': 462,\n",
       " 'kings': 463,\n",
       " 'master': 464,\n",
       " 'rider': 465,\n",
       " 'speed': 466,\n",
       " 'inc': 467,\n",
       " 'turtles': 468,\n",
       " 'mrs': 469,\n",
       " 'empire': 470,\n",
       " 'free': 471,\n",
       " 'rings': 472,\n",
       " 'groove': 473,\n",
       " 'national': 474,\n",
       " 'mask': 475,\n",
       " 'lovely': 476,\n",
       " 'vengeance': 477,\n",
       " 'alvin': 478,\n",
       " 'chipmunks': 479,\n",
       " 'haunted': 480,\n",
       " 'see': 481,\n",
       " 'own': 482,\n",
       " 'safe': 483,\n",
       " 'thirteen': 484,\n",
       " 'action': 485,\n",
       " 'stories': 486,\n",
       " 'haunting': 487,\n",
       " 'dreams': 488,\n",
       " 'nine': 489,\n",
       " 'sound': 490,\n",
       " 'beautiful': 491,\n",
       " 'mind': 492,\n",
       " 'beginning': 493,\n",
       " 'angry': 494,\n",
       " 'ballad': 495,\n",
       " 'bobby': 496,\n",
       " 't': 497,\n",
       " 'sky': 498,\n",
       " 'predator': 499,\n",
       " 'fish': 500,\n",
       " 'horse': 501,\n",
       " 'dracula': 502,\n",
       " 'years': 503,\n",
       " 'company': 504,\n",
       " 'underworld': 505,\n",
       " 'hall': 506,\n",
       " 'body': 507,\n",
       " 'saving': 508,\n",
       " 'want': 509,\n",
       " 'santa': 510,\n",
       " 'trade': 511,\n",
       " 'sin': 512,\n",
       " 'hearts': 513,\n",
       " 'chicken': 514,\n",
       " 'daddy': 515,\n",
       " 'job': 516,\n",
       " 'close': 517,\n",
       " 'joy': 518,\n",
       " 'trouble': 519,\n",
       " 'george': 520,\n",
       " 'bill': 521,\n",
       " 'chain': 522,\n",
       " 'un': 523,\n",
       " 'head': 524,\n",
       " 'godfather': 525,\n",
       " 'zero': 526,\n",
       " 'as': 527,\n",
       " 'say': 528,\n",
       " 'us': 529,\n",
       " 'fair': 530,\n",
       " 'sight': 531,\n",
       " 'riding': 532,\n",
       " 'liar': 533,\n",
       " 'scary': 534,\n",
       " 'hell': 535,\n",
       " 'tin': 536,\n",
       " 'johnny': 537,\n",
       " 'st': 538,\n",
       " '21': 539,\n",
       " 'came': 540,\n",
       " 'minutes': 541,\n",
       " 'dance': 542,\n",
       " 'honor': 543,\n",
       " 'pitch': 544,\n",
       " 'november': 545,\n",
       " 'mean': 546,\n",
       " 'streets': 547,\n",
       " 'something': 548,\n",
       " 'wife': 549,\n",
       " 'so': 550,\n",
       " 'virgin': 551,\n",
       " 'fear': 552,\n",
       " 'radio': 553,\n",
       " 'must': 554,\n",
       " 'business': 555,\n",
       " 'freedom': 556,\n",
       " 'history': 557,\n",
       " 'letters': 558,\n",
       " \"what's\": 559,\n",
       " 'chasing': 560,\n",
       " 'once': 561,\n",
       " 'grace': 562,\n",
       " 'straight': 563,\n",
       " 'only': 564,\n",
       " 'luck': 565,\n",
       " 'sisterhood': 566,\n",
       " 'right': 567,\n",
       " 'blonde': 568,\n",
       " 'crocodile': 569,\n",
       " 'dundee': 570,\n",
       " 'ever': 571,\n",
       " 'but': 572,\n",
       " 'god': 573,\n",
       " 'omega': 574,\n",
       " 'hit': 575,\n",
       " 'alone': 576,\n",
       " 'jackass': 577,\n",
       " 'let': 578,\n",
       " 'rules': 579,\n",
       " 'dancer': 580,\n",
       " 'das': 581,\n",
       " 'enter': 582,\n",
       " 'everything': 583,\n",
       " 'nowhere': 584,\n",
       " 'born': 585,\n",
       " 'valentine': 586,\n",
       " 'brooklyn': 587,\n",
       " 'dirty': 588,\n",
       " 'pet': 589,\n",
       " 'b': 590,\n",
       " 'musical': 591,\n",
       " 'chapter': 592,\n",
       " 'low': 593,\n",
       " 'better': 594,\n",
       " 'wind': 595,\n",
       " 'saints': 596,\n",
       " 'wicked': 597,\n",
       " 'des': 598,\n",
       " '20': 599,\n",
       " 'ha': 600,\n",
       " 'carter': 601,\n",
       " 'narnia': 602,\n",
       " 'hobbit': 603,\n",
       " 'amazing': 604,\n",
       " 'titanic': 605,\n",
       " 'civil': 606,\n",
       " 'alice': 607,\n",
       " 'wonderland': 608,\n",
       " 'stand': 609,\n",
       " 'fallen': 610,\n",
       " 'cars': 611,\n",
       " 'toy': 612,\n",
       " 'indiana': 613,\n",
       " 'brave': 614,\n",
       " 'carol': 615,\n",
       " 'apocalypse': 616,\n",
       " 'lovers': 617,\n",
       " '6': 618,\n",
       " 'express': 619,\n",
       " 'independence': 620,\n",
       " 'guardians': 621,\n",
       " 'galaxy': 622,\n",
       " 'through': 623,\n",
       " 'looking': 624,\n",
       " 'voyage': 625,\n",
       " 'pearl': 626,\n",
       " 'factory': 627,\n",
       " 'africa': 628,\n",
       " 'museum': 629,\n",
       " 'matrix': 630,\n",
       " 'titans': 631,\n",
       " 'nation': 632,\n",
       " 'fu': 633,\n",
       " 'panda': 634,\n",
       " 'samurai': 635,\n",
       " 'weapon': 636,\n",
       " 'avenger': 637,\n",
       " 'enough': 638,\n",
       " 'far': 639,\n",
       " 'saga': 640,\n",
       " 'feet': 641,\n",
       " 'penguins': 642,\n",
       " 'prisoner': 643,\n",
       " 'r': 644,\n",
       " 'sherlock': 645,\n",
       " 'holmes': 646,\n",
       " 'warrior': 647,\n",
       " 'storm': 648,\n",
       " 'surfer': 649,\n",
       " 'full': 650,\n",
       " 'episode': 651,\n",
       " 'phantom': 652,\n",
       " \"winter's\": 653,\n",
       " \"ocean's\": 654,\n",
       " 'smith': 655,\n",
       " 'range': 656,\n",
       " 'control': 657,\n",
       " 'cat': 658,\n",
       " 'hat': 659,\n",
       " 'martian': 660,\n",
       " 'secrets': 661,\n",
       " 'casino': 662,\n",
       " 'expendables': 663,\n",
       " 'wall': 664,\n",
       " 'atlas': 665,\n",
       " 'break': 666,\n",
       " 'cinderella': 667,\n",
       " 'finding': 668,\n",
       " 'jackson': 669,\n",
       " 'beneath': 670,\n",
       " 'thunder': 671,\n",
       " 'cradle': 672,\n",
       " 'k': 673,\n",
       " 'heist': 674,\n",
       " 'enemy': 675,\n",
       " 'mirror': 676,\n",
       " 'cats': 677,\n",
       " 'impact': 678,\n",
       " 'longest': 679,\n",
       " 'give': 680,\n",
       " 'face': 681,\n",
       " 'off': 682,\n",
       " 'mountain': 683,\n",
       " 'conspiracy': 684,\n",
       " 'bear': 685,\n",
       " 'spirit': 686,\n",
       " '2000': 687,\n",
       " 'may': 688,\n",
       " 'come': 689,\n",
       " 'rocky': 690,\n",
       " 'extraordinary': 691,\n",
       " '50': 692,\n",
       " 'exorcist': 693,\n",
       " 'shark': 694,\n",
       " 'cool': 695,\n",
       " 'sun': 696,\n",
       " 'killers': 697,\n",
       " 'n': 698,\n",
       " 'anna': 699,\n",
       " 'flight': 700,\n",
       " 'punch': 701,\n",
       " 'gold': 702,\n",
       " 'doctor': 703,\n",
       " 'were': 704,\n",
       " 'has': 705,\n",
       " 'siege': 706,\n",
       " 'killer': 707,\n",
       " 'legends': 708,\n",
       " 'mystery': 709,\n",
       " 'lincoln': 710,\n",
       " 'private': 711,\n",
       " 'due': 712,\n",
       " 'center': 713,\n",
       " 'annie': 714,\n",
       " 'fight': 715,\n",
       " 'marshall': 716,\n",
       " 'frankenstein': 717,\n",
       " 'austin': 718,\n",
       " 'powers': 719,\n",
       " 'eight': 720,\n",
       " 'mile': 721,\n",
       " 'identity': 722,\n",
       " 'daughter': 723,\n",
       " 'weeks': 724,\n",
       " 'maze': 725,\n",
       " 'sunday': 726,\n",
       " 'resurrection': 727,\n",
       " '51': 728,\n",
       " 'mortal': 729,\n",
       " 'holy': 730,\n",
       " 'tall': 731,\n",
       " 'pursuit': 732,\n",
       " 'vol': 733,\n",
       " 'tango': 734,\n",
       " 'elizabeth': 735,\n",
       " 'muppets': 736,\n",
       " \"king's\": 737,\n",
       " 'law': 738,\n",
       " 'lose': 739,\n",
       " 'interview': 740,\n",
       " 'loaded': 741,\n",
       " 'ground': 742,\n",
       " 'beach': 743,\n",
       " 'raising': 744,\n",
       " 'steve': 745,\n",
       " 'letter': 746,\n",
       " 'fighter': 747,\n",
       " 'boat': 748,\n",
       " 'bone': 749,\n",
       " 'taken': 750,\n",
       " 'cable': 751,\n",
       " 'mary': 752,\n",
       " 'diaries': 753,\n",
       " 'royal': 754,\n",
       " 'quest': 755,\n",
       " 'english': 756,\n",
       " 'pretty': 757,\n",
       " 'miracle': 758,\n",
       " 'bounty': 759,\n",
       " 'gate': 760,\n",
       " '28': 761,\n",
       " 'sense': 762,\n",
       " 'fifty': 763,\n",
       " 'shades': 764,\n",
       " 'their': 765,\n",
       " 'network': 766,\n",
       " 'julia': 767,\n",
       " 'dumb': 768,\n",
       " 'below': 769,\n",
       " 'greek': 770,\n",
       " 'small': 771,\n",
       " 'horrible': 772,\n",
       " 'skeleton': 773,\n",
       " 'made': 774,\n",
       " 'music': 775,\n",
       " 'paul': 776,\n",
       " 'trip': 777,\n",
       " 'million': 778,\n",
       " 'morning': 779,\n",
       " 'extreme': 780,\n",
       " 'words': 781,\n",
       " 'grudge': 782,\n",
       " 'match': 783,\n",
       " 'single': 784,\n",
       " 'dolphin': 785,\n",
       " \"we're\": 786,\n",
       " 'dragons': 787,\n",
       " 'sorority': 788,\n",
       " 'banks': 789,\n",
       " 'lions': 790,\n",
       " 'femme': 791,\n",
       " 'desert': 792,\n",
       " 'father': 793,\n",
       " 'alive': 794,\n",
       " 'transporter': 795,\n",
       " 'attraction': 796,\n",
       " 'repo': 797,\n",
       " 'vacation': 798,\n",
       " 'remember': 799,\n",
       " 'hunt': 800,\n",
       " 'calls': 801,\n",
       " 'dollar': 802,\n",
       " 'rugrats': 803,\n",
       " 'fall': 804,\n",
       " 'hope': 805,\n",
       " 'sarah': 806,\n",
       " 'bottle': 807,\n",
       " 'mike': 808,\n",
       " 'naked': 809,\n",
       " 'rabbit': 810,\n",
       " 'yards': 811,\n",
       " 'pride': 812,\n",
       " 'cave': 813,\n",
       " 'united': 814,\n",
       " 'faith': 815,\n",
       " 'woodstock': 816,\n",
       " 'kick': 817,\n",
       " 'very': 818,\n",
       " 'prejudice': 819,\n",
       " 'door': 820,\n",
       " 'zombies': 821,\n",
       " 'vi': 822,\n",
       " 'blues': 823,\n",
       " 'noise': 824,\n",
       " 'happened': 825,\n",
       " 'o': 826,\n",
       " 'agent': 827,\n",
       " 'cody': 828,\n",
       " 'highlander': 829,\n",
       " 'jimmy': 830,\n",
       " 'genius': 831,\n",
       " 'bunny': 832,\n",
       " 'beauty': 833,\n",
       " 'grave': 834,\n",
       " 'august': 835,\n",
       " 'tora': 836,\n",
       " 'dear': 837,\n",
       " 'bright': 838,\n",
       " 'lords': 839,\n",
       " 'iv': 840,\n",
       " 'think': 841,\n",
       " 'fisher': 842,\n",
       " 'march': 843,\n",
       " 'jaws': 844,\n",
       " 'animal': 845,\n",
       " 'wimpy': 846,\n",
       " 'funeral': 847,\n",
       " 'molly': 848,\n",
       " 'song': 849,\n",
       " '12': 850,\n",
       " 'hole': 851,\n",
       " 'police': 852,\n",
       " 'chainsaw': 853,\n",
       " 'harold': 854,\n",
       " 'kumar': 855,\n",
       " 'psycho': 856,\n",
       " 'kills': 857,\n",
       " \"can't\": 858,\n",
       " 'horror': 859,\n",
       " 'las': 860,\n",
       " 'exorcism': 861,\n",
       " 'rose': 862,\n",
       " 'happens': 863,\n",
       " 'station': 864,\n",
       " 'anything': 865,\n",
       " \"let's\": 866,\n",
       " 'tales': 867,\n",
       " 'massacre': 868,\n",
       " 'teen': 869,\n",
       " 'cut': 870,\n",
       " 'place': 871,\n",
       " 'voice': 872,\n",
       " 'ones': 873,\n",
       " 'dude': 874,\n",
       " 'car': 875,\n",
       " 'effect': 876,\n",
       " 'project': 877,\n",
       " 'always': 878,\n",
       " 'purge': 879,\n",
       " 'insidious': 880,\n",
       " 'sugar': 881,\n",
       " 'heroes': 882,\n",
       " 'film': 883,\n",
       " 'hai': 884,\n",
       " '놈': 885,\n",
       " '000': 886,\n",
       " 'food': 887,\n",
       " 'falls': 888,\n",
       " 'kevin': 889,\n",
       " 'mother': 890,\n",
       " 'h': 891,\n",
       " 'east': 892,\n",
       " 'myers': 893,\n",
       " 'was': 894,\n",
       " 'shine': 895,\n",
       " 'lane': 896,\n",
       " 'billy': 897,\n",
       " 'together': 898,\n",
       " 'times': 899,\n",
       " 'giants': 900,\n",
       " 'roadside': 901,\n",
       " 'avengers': 902,\n",
       " 'justice': 903,\n",
       " 'ranger': 904,\n",
       " 'tides': 905,\n",
       " 'battleship': 906,\n",
       " 'extinction': 907,\n",
       " 'legacy': 908,\n",
       " 'salvation': 909,\n",
       " '7': 910,\n",
       " 'giant': 911,\n",
       " 'slayer': 912,\n",
       " 'sands': 913,\n",
       " 'dinosaur': 914,\n",
       " 'mummy': 915,\n",
       " 'emperor': 916,\n",
       " 'suicide': 917,\n",
       " 'squad': 918,\n",
       " 'almighty': 919,\n",
       " 'huntsman': 920,\n",
       " 'ronin': 921,\n",
       " 'winter': 922,\n",
       " 'ralph': 923,\n",
       " 'curious': 924,\n",
       " 'case': 925,\n",
       " 'benjamin': 926,\n",
       " 'class': 927,\n",
       " 'mockingjay': 928,\n",
       " 'third': 929,\n",
       " 'alexander': 930,\n",
       " 'order': 931,\n",
       " 'phoenix': 932,\n",
       " 'begins': 933,\n",
       " 'origins': 934,\n",
       " 'wolverine': 935,\n",
       " 'thor': 936,\n",
       " 'fury': 937,\n",
       " 'bee': 938,\n",
       " 'moms': 939,\n",
       " 'armageddon': 940,\n",
       " 'fun': 941,\n",
       " 'egypt': 942,\n",
       " 'lethal': 943,\n",
       " 'hulk': 944,\n",
       " 'within': 945,\n",
       " 'commander': 946,\n",
       " 'breaking': 947,\n",
       " 'incredible': 948,\n",
       " 'ant': 949,\n",
       " 'worlds': 950,\n",
       " 'p': 951,\n",
       " 'da': 952,\n",
       " 'rio': 953,\n",
       " 'silver': 954,\n",
       " 'pi': 955,\n",
       " \"charlie's\": 956,\n",
       " 'stuart': 957,\n",
       " 'riddick': 958,\n",
       " 'robocop': 959,\n",
       " 'attack': 960,\n",
       " 'menace': 961,\n",
       " 'gravity': 962,\n",
       " 'fantastic': 963,\n",
       " 'san': 964,\n",
       " 'patriot': 965,\n",
       " '300': 966,\n",
       " 'smurfs': 967,\n",
       " 'ring': 968,\n",
       " 'robot': 969,\n",
       " 'report': 970,\n",
       " 'judgment': 971,\n",
       " 'gangster': 972,\n",
       " 'taking': 973,\n",
       " 'fockers': 974,\n",
       " 'guys': 975,\n",
       " 'dame': 976,\n",
       " \"emperor's\": 977,\n",
       " 'treasure': 978,\n",
       " 'epic': 979,\n",
       " 'diamond': 980,\n",
       " 'troopers': 981,\n",
       " 'cloud': 982,\n",
       " 'hercules': 983,\n",
       " 'wives': 984,\n",
       " 'hawk': 985,\n",
       " 'fifth': 986,\n",
       " 'drift': 987,\n",
       " 'bones': 988,\n",
       " 'lara': 989,\n",
       " 'croft': 990,\n",
       " 'raider': 991,\n",
       " 'percy': 992,\n",
       " 'cloudy': 993,\n",
       " 'chance': 994,\n",
       " 'meatballs': 995,\n",
       " 'dinosaurs': 996,\n",
       " 'walter': 997,\n",
       " 'tattoo': 998,\n",
       " 'atlantis': 999,\n",
       " 'intelligence': 1000,\n",
       " ...}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tokenizer.word_index"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f531f8ca",
   "metadata": {},
   "source": [
    "## Training the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "370ab6e4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total Single Words Dropped are: 1003\n"
     ]
    }
   ],
   "source": [
    "X = []\n",
    "y = []\n",
    "total_words_dropped = 0\n",
    "\n",
    "for i in seq:\n",
    "    if len(i) > 1:\n",
    "        for index in range(1, len(i)):\n",
    "            X.append(i[:index])\n",
    "            y.append(i[index])\n",
    "    else:\n",
    "        total_words_dropped += 1\n",
    "        \n",
    "print(\"Total Single Words Dropped are:\", total_words_dropped)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "09e613ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[210],\n",
       " [210, 2],\n",
       " [210, 2, 1],\n",
       " [210, 2, 1, 431],\n",
       " [210, 2, 1, 431, 47],\n",
       " [210, 2, 1, 431, 47, 432],\n",
       " [1],\n",
       " [1, 52],\n",
       " [1, 52, 211],\n",
       " [212]]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7ff51db4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[2, 1, 431, 47, 432, 72, 52, 211, 1566, 601]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ee49fad3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[2, 1, 431, 47, 432, 72, 52, 211, 1566, 601]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4e98a2a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  0,   0,   0, ...,   0,   0, 210],\n",
       "       [  0,   0,   0, ...,   0, 210,   2],\n",
       "       [  0,   0,   0, ..., 210,   2,   1],\n",
       "       ...,\n",
       "       [  0,   0,   0, ...,   0,   0,  14],\n",
       "       [  0,   0,   0, ...,   0,  14, 300],\n",
       "       [  0,   0,   0, ...,  14, 300,  11]])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = tf.keras.preprocessing.sequence.pad_sequences(X)\n",
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "973355f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8483, 14)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ef4c730d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8483, 14)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3137f7d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0., 0., 1., ..., 0., 0., 0.],\n",
       "       [0., 1., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y = tf.keras.utils.to_categorical(y)\n",
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "517a83d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8483, 5045)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "30a4b424",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5045"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vocab_size = len(tokenizer.word_index) + 1\n",
    "vocab_size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "fb9ac1b0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " embedding (Embedding)       (None, None, 14)          70630     \n",
      "                                                                 \n",
      " lstm (LSTM)                 (None, None, 100)         46000     \n",
      "                                                                 \n",
      " lstm_1 (LSTM)               (None, 100)               80400     \n",
      "                                                                 \n",
      " dense (Dense)               (None, 100)               10100     \n",
      "                                                                 \n",
      " dense_1 (Dense)             (None, 5045)              509545    \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 716675 (2.73 MB)\n",
      "Trainable params: 716675 (2.73 MB)\n",
      "Non-trainable params: 0 (0.00 Byte)\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model = tf.keras.Sequential([\n",
    "    tf.keras.layers.Embedding(vocab_size, 14),\n",
    "    tf.keras.layers.LSTM(100, return_sequences=True),\n",
    "    tf.keras.layers.LSTM(100),\n",
    "    tf.keras.layers.Dense(100, activation='relu'),\n",
    "    tf.keras.layers.Dense(vocab_size, activation='softmax'),\n",
    "])\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "417a48d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.compile(\n",
    "    optimizer=tf.keras.optimizers.Adam(learning_rate=0.004), \n",
    "    loss='categorical_crossentropy', \n",
    "    metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "acd19c4f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/150\n",
      "266/266 [==============================] - 89s 146ms/step - loss: 7.6282 - accuracy: 0.0599\n",
      "Epoch 2/150\n",
      "266/266 [==============================] - 38s 145ms/step - loss: 7.0230 - accuracy: 0.0685\n",
      "Epoch 3/150\n",
      "266/266 [==============================] - 36s 135ms/step - loss: 6.8413 - accuracy: 0.0828\n",
      "Epoch 4/150\n",
      "266/266 [==============================] - 35s 132ms/step - loss: 6.6754 - accuracy: 0.0891\n",
      "Epoch 5/150\n",
      "266/266 [==============================] - 35s 132ms/step - loss: 6.5203 - accuracy: 0.0980\n",
      "Epoch 6/150\n",
      "266/266 [==============================] - 35s 132ms/step - loss: 6.3647 - accuracy: 0.1068\n",
      "Epoch 7/150\n",
      "266/266 [==============================] - 44s 165ms/step - loss: 6.2158 - accuracy: 0.1077\n",
      "Epoch 8/150\n",
      "266/266 [==============================] - 41s 155ms/step - loss: 6.0795 - accuracy: 0.1099\n",
      "Epoch 9/150\n",
      "266/266 [==============================] - 50s 187ms/step - loss: 5.9492 - accuracy: 0.1132\n",
      "Epoch 10/150\n",
      "266/266 [==============================] - 47s 175ms/step - loss: 5.8335 - accuracy: 0.1172\n",
      "Epoch 11/150\n",
      "266/266 [==============================] - 51s 193ms/step - loss: 5.6944 - accuracy: 0.1215\n",
      "Epoch 12/150\n",
      "266/266 [==============================] - 53s 198ms/step - loss: 5.5478 - accuracy: 0.1265\n",
      "Epoch 13/150\n",
      "266/266 [==============================] - 47s 177ms/step - loss: 5.4025 - accuracy: 0.1275\n",
      "Epoch 14/150\n",
      "266/266 [==============================] - 51s 191ms/step - loss: 5.2885 - accuracy: 0.1329\n",
      "Epoch 15/150\n",
      "266/266 [==============================] - 38s 141ms/step - loss: 5.1622 - accuracy: 0.1375\n",
      "Epoch 16/150\n",
      "266/266 [==============================] - 43s 162ms/step - loss: 5.0471 - accuracy: 0.1413\n",
      "Epoch 17/150\n",
      "266/266 [==============================] - 37s 138ms/step - loss: 4.9251 - accuracy: 0.1462\n",
      "Epoch 18/150\n",
      "266/266 [==============================] - 42s 157ms/step - loss: 4.8148 - accuracy: 0.1502\n",
      "Epoch 19/150\n",
      "266/266 [==============================] - 47s 175ms/step - loss: 4.7055 - accuracy: 0.1523\n",
      "Epoch 20/150\n",
      "266/266 [==============================] - 53s 200ms/step - loss: 4.6036 - accuracy: 0.1583\n",
      "Epoch 21/150\n",
      "266/266 [==============================] - 44s 166ms/step - loss: 4.5111 - accuracy: 0.1619\n",
      "Epoch 22/150\n",
      "266/266 [==============================] - 39s 148ms/step - loss: 4.4100 - accuracy: 0.1694\n",
      "Epoch 23/150\n",
      "266/266 [==============================] - 38s 141ms/step - loss: 4.3144 - accuracy: 0.1741\n",
      "Epoch 24/150\n",
      "266/266 [==============================] - 44s 166ms/step - loss: 4.2273 - accuracy: 0.1822\n",
      "Epoch 25/150\n",
      "266/266 [==============================] - 60s 225ms/step - loss: 4.1486 - accuracy: 0.1848\n",
      "Epoch 26/150\n",
      "266/266 [==============================] - 52s 195ms/step - loss: 4.0666 - accuracy: 0.1970\n",
      "Epoch 27/150\n",
      "266/266 [==============================] - 38s 143ms/step - loss: 3.9842 - accuracy: 0.1991\n",
      "Epoch 28/150\n",
      "266/266 [==============================] - 36s 134ms/step - loss: 3.9127 - accuracy: 0.2019\n",
      "Epoch 29/150\n",
      "266/266 [==============================] - 36s 135ms/step - loss: 3.8435 - accuracy: 0.2090\n",
      "Epoch 30/150\n",
      "266/266 [==============================] - 49s 185ms/step - loss: 3.7713 - accuracy: 0.2163\n",
      "Epoch 31/150\n",
      "266/266 [==============================] - 34s 126ms/step - loss: 3.7076 - accuracy: 0.2257\n",
      "Epoch 32/150\n",
      "266/266 [==============================] - 33s 122ms/step - loss: 3.6376 - accuracy: 0.2311\n",
      "Epoch 33/150\n",
      "266/266 [==============================] - 34s 128ms/step - loss: 3.5600 - accuracy: 0.2387\n",
      "Epoch 34/150\n",
      "266/266 [==============================] - 36s 136ms/step - loss: 3.4953 - accuracy: 0.2466\n",
      "Epoch 35/150\n",
      "266/266 [==============================] - 42s 157ms/step - loss: 3.4486 - accuracy: 0.2538\n",
      "Epoch 36/150\n",
      "266/266 [==============================] - 40s 150ms/step - loss: 3.3807 - accuracy: 0.2652\n",
      "Epoch 37/150\n",
      "266/266 [==============================] - 41s 154ms/step - loss: 3.3409 - accuracy: 0.2652\n",
      "Epoch 38/150\n",
      "266/266 [==============================] - 36s 135ms/step - loss: 3.2885 - accuracy: 0.2698\n",
      "Epoch 39/150\n",
      "266/266 [==============================] - 35s 130ms/step - loss: 3.2234 - accuracy: 0.2814\n",
      "Epoch 40/150\n",
      "266/266 [==============================] - 36s 134ms/step - loss: 3.1694 - accuracy: 0.2935\n",
      "Epoch 41/150\n",
      "266/266 [==============================] - 35s 130ms/step - loss: 3.1017 - accuracy: 0.3047\n",
      "Epoch 42/150\n",
      "266/266 [==============================] - 35s 130ms/step - loss: 3.0546 - accuracy: 0.3110\n",
      "Epoch 43/150\n",
      "266/266 [==============================] - 35s 130ms/step - loss: 3.0251 - accuracy: 0.3175\n",
      "Epoch 44/150\n",
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      "Epoch 143/150\n",
      "266/266 [==============================] - 39s 147ms/step - loss: 1.4569 - accuracy: 0.6392\n",
      "Epoch 144/150\n",
      "266/266 [==============================] - 41s 154ms/step - loss: 1.4434 - accuracy: 0.6385\n",
      "Epoch 145/150\n",
      "266/266 [==============================] - 40s 150ms/step - loss: 1.4329 - accuracy: 0.6399\n",
      "Epoch 146/150\n",
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      "Epoch 147/150\n",
      "266/266 [==============================] - 39s 148ms/step - loss: 1.4537 - accuracy: 0.6385\n",
      "Epoch 148/150\n",
      "266/266 [==============================] - 39s 148ms/step - loss: 1.4049 - accuracy: 0.6478\n",
      "Epoch 149/150\n",
      "266/266 [==============================] - 39s 147ms/step - loss: 1.4000 - accuracy: 0.6519\n",
      "Epoch 150/150\n",
      "266/266 [==============================] - 39s 147ms/step - loss: 1.3931 - accuracy: 0.6484\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.src.callbacks.History at 0x17a36dfb5e0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(X, y, epochs=150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "8d597e5f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ST\\anaconda3\\lib\\site-packages\\keras\\src\\engine\\training.py:3000: UserWarning: You are saving your model as an HDF5 file via `model.save()`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')`.\n",
      "  saving_api.save_model(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array(['the', 'of', 'a', ..., 'signed', 'sealed', 'delivered'],\n",
       "      dtype='<U14')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.save('nwp.h5')\n",
    "vocab_array = np.array(list(tokenizer.word_index.keys()))\n",
    "vocab_array           "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79590072",
   "metadata": {},
   "source": [
    "## Testing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "c4f769ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_prediction(text, n_words):\n",
    "    for i in range(n_words):\n",
    "        text_tokenize = tokenizer.texts_to_sequences([text])\n",
    "        text_padded = tf.keras.preprocessing.sequence.pad_sequences(text_tokenize, maxlen=14)\n",
    "        prediction = np.squeeze(np.argmax(model.predict(text_padded), axis=-1))\n",
    "        prediction = str(vocab_array[prediction - 1])\n",
    "        print(vocab_array[np.argsort(model.predict(text_padded)) - 1].ravel()[:-3])\n",
    "        text += \" \" + prediction\n",
    "    return text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "fb596d83",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/1 [==============================] - 24s 24s/step\n",
      "1/1 [==============================] - 0s 80ms/step\n",
      "['budapest' 'traffic' 'bounce' ... 'iv' 'ii' 'iii']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'jurassic park'"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "make_prediction(\"jurassic\", 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f50100d0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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