movie-rec.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4bd78b66",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ed3b7756",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies = pd.read_csv('tmdb_5000_movies.csv')\n",
    "credits = pd.read_csv('tmdb_5000_credits.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "98589b4e",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies = movies.merge(credits,on='title')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2a712de9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 4809 entries, 0 to 4808\n",
      "Data columns (total 23 columns):\n",
      " #   Column                Non-Null Count  Dtype  \n",
      "---  ------                --------------  -----  \n",
      " 0   budget                4809 non-null   int64  \n",
      " 1   genres                4809 non-null   object \n",
      " 2   homepage              1713 non-null   object \n",
      " 3   id                    4809 non-null   int64  \n",
      " 4   keywords              4809 non-null   object \n",
      " 5   original_language     4809 non-null   object \n",
      " 6   original_title        4809 non-null   object \n",
      " 7   overview              4806 non-null   object \n",
      " 8   popularity            4809 non-null   float64\n",
      " 9   production_companies  4809 non-null   object \n",
      " 10  production_countries  4809 non-null   object \n",
      " 11  release_date          4808 non-null   object \n",
      " 12  revenue               4809 non-null   int64  \n",
      " 13  runtime               4807 non-null   float64\n",
      " 14  spoken_languages      4809 non-null   object \n",
      " 15  status                4809 non-null   object \n",
      " 16  tagline               3965 non-null   object \n",
      " 17  title                 4809 non-null   object \n",
      " 18  vote_average          4809 non-null   float64\n",
      " 19  vote_count            4809 non-null   int64  \n",
      " 20  movie_id              4809 non-null   int64  \n",
      " 21  cast                  4809 non-null   object \n",
      " 22  crew                  4809 non-null   object \n",
      "dtypes: float64(3), int64(5), object(15)\n",
      "memory usage: 901.7+ KB\n"
     ]
    }
   ],
   "source": [
    "movies.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0a3af91c",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies = movies[['movie_id','title','overview','genres','keywords','cast','crew']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d52b44e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>movie_id</th>\n",
       "      <th>title</th>\n",
       "      <th>overview</th>\n",
       "      <th>genres</th>\n",
       "      <th>keywords</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19995</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
       "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>285</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>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
       "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
       "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206647</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
       "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
       "      <td>[{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>49026</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>Following the death of District Attorney Harve...</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
       "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
       "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>49529</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>John Carter is a war-weary, former military ca...</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
       "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
       "      <td>[{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   movie_id                                     title  \\\n",
       "0     19995                                    Avatar   \n",
       "1       285  Pirates of the Caribbean: At World's End   \n",
       "2    206647                                   Spectre   \n",
       "3     49026                     The Dark Knight Rises   \n",
       "4     49529                               John Carter   \n",
       "\n",
       "                                            overview  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...   \n",
       "1  Captain Barbossa, long believed to be dead, ha...   \n",
       "2  A cryptic message from Bond’s past sends him o...   \n",
       "3  Following the death of District Attorney Harve...   \n",
       "4  John Carter is a war-weary, former military ca...   \n",
       "\n",
       "                                              genres  \\\n",
       "0  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "1  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
       "2  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "3  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   \n",
       "4  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "\n",
       "                                            keywords  \\\n",
       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...   \n",
       "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...   \n",
       "2  [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...   \n",
       "3  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...   \n",
       "4  [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...   \n",
       "\n",
       "                                                cast  \\\n",
       "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
       "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
       "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
       "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
       "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
       "\n",
       "                                                crew  \n",
       "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
       "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  \n",
       "2  [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...  \n",
       "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...  \n",
       "4  [{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b9552df",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "78cfe198",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "movie_id    0\n",
       "title       0\n",
       "overview    3\n",
       "genres      0\n",
       "keywords    0\n",
       "cast        0\n",
       "crew        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "71733965",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0c7fdc4f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5d261f02",
   "metadata": {},
   "outputs": [],
   "source": [
    "import ast"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8b37b189",
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert(obj):\n",
    "    L = []\n",
    "    for i in ast.literal_eval(obj):\n",
    "        L.append(i['name'])\n",
    "    return L"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0ef4db3e",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies['genres'] = movies['genres'].apply(convert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "7d33d17a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>movie_id</th>\n",
       "      <th>title</th>\n",
       "      <th>overview</th>\n",
       "      <th>genres</th>\n",
       "      <th>keywords</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19995</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>[Action, Adventure, Fantasy, Science Fiction]</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
       "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   movie_id   title                                           overview  \\\n",
       "0     19995  Avatar  In the 22nd century, a paraplegic Marine is di...   \n",
       "\n",
       "                                          genres  \\\n",
       "0  [Action, Adventure, Fantasy, Science Fiction]   \n",
       "\n",
       "                                            keywords  \\\n",
       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...   \n",
       "\n",
       "                                                cast  \\\n",
       "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
       "\n",
       "                                                crew  \n",
       "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7a585105",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies['keywords'] = movies['keywords'].apply(convert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "518998ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie_id</th>\n",
       "      <th>title</th>\n",
       "      <th>overview</th>\n",
       "      <th>genres</th>\n",
       "      <th>keywords</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19995</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>[Action, Adventure, Fantasy, Science Fiction]</td>\n",
       "      <td>[culture clash, future, space war, space colon...</td>\n",
       "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
       "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   movie_id   title                                           overview  \\\n",
       "0     19995  Avatar  In the 22nd century, a paraplegic Marine is di...   \n",
       "\n",
       "                                          genres  \\\n",
       "0  [Action, Adventure, Fantasy, Science Fiction]   \n",
       "\n",
       "                                            keywords  \\\n",
       "0  [culture clash, future, space war, space colon...   \n",
       "\n",
       "                                                cast  \\\n",
       "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
       "\n",
       "                                                crew  \n",
       "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e3805b76",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies['cast'] = movies['cast'].apply(convert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "843062d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\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>movie_id</th>\n",
       "      <th>title</th>\n",
       "      <th>overview</th>\n",
       "      <th>genres</th>\n",
       "      <th>keywords</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19995</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>[Action, Adventure, Fantasy, Science Fiction]</td>\n",
       "      <td>[culture clash, future, space war, space colon...</td>\n",
       "      <td>[Sam Worthington, Zoe Saldana, Sigourney Weave...</td>\n",
       "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   movie_id   title                                           overview  \\\n",
       "0     19995  Avatar  In the 22nd century, a paraplegic Marine is di...   \n",
       "\n",
       "                                          genres  \\\n",
       "0  [Action, Adventure, Fantasy, Science Fiction]   \n",
       "\n",
       "                                            keywords  \\\n",
       "0  [culture clash, future, space war, space colon...   \n",
       "\n",
       "                                                cast  \\\n",
       "0  [Sam Worthington, Zoe Saldana, Sigourney Weave...   \n",
       "\n",
       "                                                crew  \n",
       "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "77f95b6f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import ast"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "60249815",
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert3(obj):\n",
    "    L = []\n",
    "    counter = 0\n",
    "    for i in ast.literal_eval(obj):\n",
    "        if counter != 3:\n",
    "            L.append(i['name'])\n",
    "            counter+=1\n",
    "        else:\n",
    "            break;\n",
    "    return L"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "8512f539",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies['crew'] = movies['crew'].apply(convert3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "d8c30860",
   "metadata": {},
   "outputs": [
    {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie_id</th>\n",
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       "   movie_id   title                                           overview  \\\n",
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       "                                                crew  \n",
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   "cell_type": "code",
   "execution_count": 23,
   "id": "682c07b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies['overview'] = movies['overview'].apply(lambda x:x.split())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "63fda966",
   "metadata": {},
   "outputs": [
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    "movies['genres'] = movies['genres'].apply(lambda x:[i.replace(\" \",\"\") for i in x])"
   ]
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  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "3646dd4b",
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   "cell_type": "code",
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   "outputs": [],
   "source": [
    "movies['keywords'] = movies['keywords'].apply(lambda x:[i.replace(\" \",\"\") for i in x])\n",
    "movies['cast'] = movies['cast'].apply(lambda x:[i.replace(\" \",\"\") for i in x])\n",
    "movies['crew'] = movies['crew'].apply(lambda x:[i.replace(\" \",\"\") for i in x])"
   ]
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   "cell_type": "code",
   "execution_count": 28,
   "id": "2831232c",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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   "cell_type": "code",
   "execution_count": 29,
   "id": "d448ae16",
   "metadata": {},
   "outputs": [],
   "source": [
    "movies['tags'] = movies['overview'] + movies['genres'] + movies['cast'] + movies['crew']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "d4e9aca8",
   "metadata": {},
   "outputs": [
    {
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       "      <th>4</th>\n",
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       "      <td>John Carter</td>\n",
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      ],
      "text/plain": [
       "   movie_id                                     title  \\\n",
       "0     19995                                    Avatar   \n",
       "1       285  Pirates of the Caribbean: At World's End   \n",
       "2    206647                                   Spectre   \n",
       "3     49026                     The Dark Knight Rises   \n",
       "4     49529                               John Carter   \n",
       "\n",
       "                                            overview  \\\n",
       "0  [In, the, 22nd, century,, a, paraplegic, Marin...   \n",
       "1  [Captain, Barbossa,, long, believed, to, be, d...   \n",
       "2  [A, cryptic, message, from, Bond’s, past, send...   \n",
       "3  [Following, the, death, of, District, Attorney...   \n",
       "4  [John, Carter, is, a, war-weary,, former, mili...   \n",
       "\n",
       "                                         genres  \\\n",
       "0  [Action, Adventure, Fantasy, ScienceFiction]   \n",
       "1                  [Adventure, Fantasy, Action]   \n",
       "2                    [Action, Adventure, Crime]   \n",
       "3              [Action, Crime, Drama, Thriller]   \n",
       "4           [Action, Adventure, ScienceFiction]   \n",
       "\n",
       "                                            keywords  \\\n",
       "0  [cultureclash, future, spacewar, spacecolony, ...   \n",
       "1  [ocean, drugabuse, exoticisland, eastindiatrad...   \n",
       "2  [spy, basedonnovel, secretagent, sequel, mi6, ...   \n",
       "3  [dccomics, crimefighter, terrorist, secretiden...   \n",
       "4  [basedonnovel, mars, medallion, spacetravel, p...   \n",
       "\n",
       "                                                cast  \\\n",
       "0  [SamWorthington, ZoeSaldana, SigourneyWeaver, ...   \n",
       "1  [JohnnyDepp, OrlandoBloom, KeiraKnightley, Ste...   \n",
       "2  [DanielCraig, ChristophWaltz, LéaSeydoux, Ralp...   \n",
       "3  [ChristianBale, MichaelCaine, GaryOldman, Anne...   \n",
       "4  [TaylorKitsch, LynnCollins, SamanthaMorton, Wi...   \n",
       "\n",
       "                                               crew  \\\n",
       "0   [StephenE.Rivkin, RickCarter, ChristopherBoyes]   \n",
       "1  [DariuszWolski, GoreVerbinski, JerryBruckheimer]   \n",
       "2            [ThomasNewman, SamMendes, AnnaPinnock]   \n",
       "3      [HansZimmer, CharlesRoven, ChristopherNolan]   \n",
       "4      [AndrewStanton, AndrewStanton, JohnLasseter]   \n",
       "\n",
       "                                                tags  \n",
       "0  [In, the, 22nd, century,, a, paraplegic, Marin...  \n",
       "1  [Captain, Barbossa,, long, believed, to, be, d...  \n",
       "2  [A, cryptic, message, from, Bond’s, past, send...  \n",
       "3  [Following, the, death, of, District, Attorney...  \n",
       "4  [John, Carter, is, a, war-weary,, former, mili...  "
      ]
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     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "44450261",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_df = movies[['movie_id','title','tags']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "bbb6294e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\susha\\AppData\\Local\\Temp/ipykernel_6012/3089450492.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  new_df['tags'] = new_df['tags'].apply(lambda x:\" \".join(x))\n"
     ]
    }
   ],
   "source": [
    "new_df['tags'] = new_df['tags'].apply(lambda x:\" \".join(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "e2afe7ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\susha\\AppData\\Local\\Temp/ipykernel_6012/3214958533.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  new_df['tags'] = new_df['tags'].apply(lambda x:x.lower())\n"
     ]
    }
   ],
   "source": [
    "new_df['tags'] = new_df['tags'].apply(lambda x:x.lower())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "21549c40",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "cv = CountVectorizer(max_features=5000,stop_words='english')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "c69f1e58",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 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=int64)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv.fit_transform(new_df['tags']).toarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "4c9c1b6a",
   "metadata": {},
   "outputs": [],
   "source": [
    "vectors = cv.fit_transform(new_df['tags']).toarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "6ebeb011",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, ..., 0, 0, 0], dtype=int64)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vectors[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "b1b1f4ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['000',\n",
       " '007',\n",
       " '10',\n",
       " '100',\n",
       " '11',\n",
       " '12',\n",
       " '13',\n",
       " '14',\n",
       " '15',\n",
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       " 'chrisevans',\n",
       " 'chrishemsworth',\n",
       " 'chriskattan',\n",
       " 'chrisklein',\n",
       " 'chrislebenzon',\n",
       " 'chrismessina',\n",
       " 'chrismiller',\n",
       " 'chrismulkey',\n",
       " 'chriso',\n",
       " 'chrisparnell',\n",
       " 'chrispenn',\n",
       " 'chrispine',\n",
       " 'chrispratt',\n",
       " 'chrisrock',\n",
       " 'christian',\n",
       " 'christianbale',\n",
       " 'christianslater',\n",
       " 'christinaapplegate',\n",
       " 'christinaricci',\n",
       " 'christinebaranski',\n",
       " 'christmas',\n",
       " 'christopher',\n",
       " 'christopherboyes',\n",
       " 'christopherdoyle',\n",
       " 'christophergreenbury',\n",
       " 'christopherguest',\n",
       " 'christopherlambert',\n",
       " 'christopherlee',\n",
       " 'christopherlloyd',\n",
       " 'christophermcdonald',\n",
       " 'christophermeloni',\n",
       " 'christophermintz',\n",
       " 'christophernolan',\n",
       " 'christopherplummer',\n",
       " 'christopherwalken',\n",
       " 'christopheryoung',\n",
       " 'christophwaltz',\n",
       " 'chriswedge',\n",
       " 'chrisweitz',\n",
       " 'chronicle',\n",
       " 'chronicles',\n",
       " 'chuck',\n",
       " 'church',\n",
       " 'cia',\n",
       " 'ciaránhinds',\n",
       " 'cillianmurphy',\n",
       " 'circle',\n",
       " 'circuit',\n",
       " 'circumstances',\n",
       " 'circus',\n",
       " 'citizens',\n",
       " 'city',\n",
       " 'civil',\n",
       " 'civilization',\n",
       " 'claim',\n",
       " 'claims',\n",
       " 'claire',\n",
       " 'clairedanes',\n",
       " 'claireforlani',\n",
       " 'clan',\n",
       " 'clancybrown',\n",
       " 'clark',\n",
       " 'clarkduke',\n",
       " 'clarkgregg',\n",
       " 'clash',\n",
       " 'class',\n",
       " 'classes',\n",
       " 'classic',\n",
       " 'classmate',\n",
       " 'classmates',\n",
       " 'claudevandamme',\n",
       " 'cleaduvall',\n",
       " 'clean',\n",
       " 'clear',\n",
       " 'clerk',\n",
       " 'client',\n",
       " 'cliffcurtis',\n",
       " 'cliffmartinez',\n",
       " 'cliftoncollinsjr',\n",
       " 'clinteastwood',\n",
       " 'clinthoward',\n",
       " 'cliveowen',\n",
       " 'clock',\n",
       " 'clone',\n",
       " 'clorisleachman',\n",
       " 'close',\n",
       " 'closer',\n",
       " 'club',\n",
       " 'clues',\n",
       " 'clutches',\n",
       " 'clydekusatsu',\n",
       " 'coach',\n",
       " 'coast',\n",
       " 'cocaine',\n",
       " 'code',\n",
       " 'cody',\n",
       " 'codycameron',\n",
       " 'cohen',\n",
       " 'col',\n",
       " 'cold',\n",
       " 'cole',\n",
       " 'colehauser',\n",
       " 'colinfarrell',\n",
       " 'colinfirth',\n",
       " 'colinhanks',\n",
       " 'colinsalmon',\n",
       " 'collapse',\n",
       " 'colleague',\n",
       " 'colleagues',\n",
       " 'collect',\n",
       " 'collection',\n",
       " 'collector',\n",
       " 'colleenatwood',\n",
       " 'colleencamp',\n",
       " 'college',\n",
       " 'collide',\n",
       " 'collins',\n",
       " 'collision',\n",
       " 'colmfeore',\n",
       " 'colmmeaney',\n",
       " 'colonel',\n",
       " 'colorful',\n",
       " 'coma',\n",
       " 'combat',\n",
       " 'come',\n",
       " 'comedian',\n",
       " 'comedic',\n",
       " 'comedy',\n",
       " 'comes',\n",
       " 'comic',\n",
       " 'comics',\n",
       " 'coming',\n",
       " 'command',\n",
       " 'commander',\n",
       " 'commit',\n",
       " 'commitment',\n",
       " 'committed',\n",
       " 'common',\n",
       " 'community',\n",
       " 'companion',\n",
       " 'company',\n",
       " 'compete',\n",
       " 'competing',\n",
       " 'competition',\n",
       " 'complete',\n",
       " 'completely',\n",
       " 'complex',\n",
       " 'complicated',\n",
       " 'complications',\n",
       " 'compton',\n",
       " 'computer',\n",
       " 'concert',\n",
       " 'conchataferrell',\n",
       " 'condition',\n",
       " 'confident',\n",
       " 'conflict',\n",
       " 'confront',\n",
       " 'connected',\n",
       " 'connection',\n",
       " 'connell',\n",
       " 'connienielsen',\n",
       " 'connieray',\n",
       " 'connor',\n",
       " 'conquer',\n",
       " 'conradvernon',\n",
       " 'conscience',\n",
       " 'consequences',\n",
       " 'conspiracy',\n",
       " 'constant',\n",
       " 'constantly',\n",
       " 'construction',\n",
       " 'contact',\n",
       " 'contest',\n",
       " 'continue',\n",
       " 'continues',\n",
       " 'contract',\n",
       " 'control',\n",
       " 'controversial',\n",
       " 'converge',\n",
       " 'convict',\n",
       " 'convicted',\n",
       " 'convince',\n",
       " 'convinced',\n",
       " 'convinces',\n",
       " 'cook',\n",
       " 'cool',\n",
       " 'cooper',\n",
       " 'cop',\n",
       " 'cope',\n",
       " 'cops',\n",
       " 'core',\n",
       " 'coreyburton',\n",
       " 'coreyfeldman',\n",
       " 'coreyjohnson',\n",
       " 'coreystoll',\n",
       " 'corner',\n",
       " 'corporate',\n",
       " 'corporation',\n",
       " 'corrupt',\n",
       " 'corruption',\n",
       " 'cost',\n",
       " 'costasmandylor',\n",
       " 'couldn',\n",
       " 'count',\n",
       " 'country',\n",
       " 'countryside',\n",
       " 'couple',\n",
       " 'couples',\n",
       " 'courage',\n",
       " 'courageous',\n",
       " 'course',\n",
       " 'court',\n",
       " 'courteneycox',\n",
       " 'courtneyb',\n",
       " 'cousin',\n",
       " 'cover',\n",
       " 'covert',\n",
       " 'cowboy',\n",
       " 'crack',\n",
       " 'craig',\n",
       " 'craigbierko',\n",
       " 'craigrobinson',\n",
       " 'craigt',\n",
       " ...]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv.get_feature_names()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "986daecf",
   "metadata": {},
   "outputs": [],
   "source": [
    "import nltk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "58301e97",
   "metadata": {},
   "outputs": [],
   "source": [
    "from nltk.stem.porter import PorterStemmer\n",
    "ps = PorterStemmer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "43c9dea4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def stem(text):\n",
    "    y = []\n",
    "    \n",
    "    for i in text.split():\n",
    "        y.append(ps.stem(i))\n",
    "        \n",
    "    return \" \".join(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c348f13c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "ee00e04c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\susha\\AppData\\Local\\Temp/ipykernel_6012/3213734980.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  new_df['tags'] = new_df['tags'].apply(stem)\n"
     ]
    }
   ],
   "source": [
    "new_df['tags'] = new_df['tags'].apply(stem)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "db301e3b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['000',\n",
       " '007',\n",
       " '10',\n",
       " '100',\n",
       " '11',\n",
       " '12',\n",
       " '13',\n",
       " '14',\n",
       " '15',\n",
       " '16',\n",
       " '17',\n",
       " '18',\n",
       " '18th',\n",
       " '19',\n",
       " '1930s',\n",
       " '1950s',\n",
       " '1960s',\n",
       " '1970s',\n",
       " '19th',\n",
       " '20',\n",
       " '200',\n",
       " '20th',\n",
       " '24',\n",
       " '25',\n",
       " '30',\n",
       " '40',\n",
       " '50',\n",
       " '60',\n",
       " '60s',\n",
       " 'aaron',\n",
       " 'aaroneckhart',\n",
       " 'aarontaylor',\n",
       " 'aaronyoo',\n",
       " 'aasifmandvi',\n",
       " 'abandoned',\n",
       " 'abducted',\n",
       " 'abigailbreslin',\n",
       " 'abilities',\n",
       " 'ability',\n",
       " 'able',\n",
       " 'aboard',\n",
       " 'abrahambenrubi',\n",
       " 'abuse',\n",
       " 'abusive',\n",
       " 'academy',\n",
       " 'accept',\n",
       " 'accepts',\n",
       " 'access',\n",
       " 'accident',\n",
       " 'accidental',\n",
       " 'accidentally',\n",
       " 'accompanied',\n",
       " 'account',\n",
       " 'accused',\n",
       " 'ace',\n",
       " 'achieve',\n",
       " 'act',\n",
       " 'action',\n",
       " 'actions',\n",
       " 'activities',\n",
       " 'actor',\n",
       " 'actors',\n",
       " 'actress',\n",
       " 'acts',\n",
       " 'actual',\n",
       " 'actually',\n",
       " 'adam',\n",
       " 'adambrody',\n",
       " 'adamgoldberg',\n",
       " 'adamlefevre',\n",
       " 'adams',\n",
       " 'adamsandler',\n",
       " 'adamscott',\n",
       " 'adaptation',\n",
       " 'addiction',\n",
       " 'adewaleakinnuoye',\n",
       " 'adopted',\n",
       " 'adrianmartinez',\n",
       " 'adrianscarborough',\n",
       " 'adrienbrody',\n",
       " 'adult',\n",
       " 'adulthood',\n",
       " 'adults',\n",
       " 'advantage',\n",
       " 'adventure',\n",
       " 'adventures',\n",
       " 'advertising',\n",
       " 'advice',\n",
       " 'affair',\n",
       " 'affections',\n",
       " 'afghanistan',\n",
       " 'africa',\n",
       " 'african',\n",
       " 'aftermath',\n",
       " 'agbaje',\n",
       " 'age',\n",
       " 'aged',\n",
       " 'agency',\n",
       " 'agenda',\n",
       " 'agent',\n",
       " 'agents',\n",
       " 'aggressive',\n",
       " 'aging',\n",
       " 'ago',\n",
       " 'agree',\n",
       " 'agrees',\n",
       " 'ahead',\n",
       " 'aid',\n",
       " 'aidanquinn',\n",
       " 'aided',\n",
       " 'ailing',\n",
       " 'air',\n",
       " 'airport',\n",
       " 'aka',\n",
       " 'al',\n",
       " 'alanalda',\n",
       " 'alanarkin',\n",
       " 'alancumming',\n",
       " 'alanrickman',\n",
       " 'alansilvestri',\n",
       " 'alantudyk',\n",
       " 'alaska',\n",
       " 'albert',\n",
       " 'albertbrooks',\n",
       " 'albertfinney',\n",
       " 'albertr',\n",
       " 'alcoholic',\n",
       " 'alecbaldwin',\n",
       " 'alecguinness',\n",
       " 'alejandrogonzáleziñárritu',\n",
       " 'alessandronivola',\n",
       " 'alex',\n",
       " 'alexandersiddig',\n",
       " 'alexanderskarsgård',\n",
       " 'alexandredesplat',\n",
       " 'alexapenavega',\n",
       " 'alexborstein',\n",
       " 'alexisbledel',\n",
       " 'alexkendrick',\n",
       " 'alfredhitchcock',\n",
       " 'alfredmolina',\n",
       " 'alfrewoodard',\n",
       " 'ali',\n",
       " 'alice',\n",
       " 'alicedrummond',\n",
       " 'aliciasilverstone',\n",
       " 'aliciawitt',\n",
       " 'alien',\n",
       " 'aliens',\n",
       " 'alike',\n",
       " 'alilarter',\n",
       " 'alive',\n",
       " 'allancorduner',\n",
       " 'allen',\n",
       " 'allencovert',\n",
       " 'alleong',\n",
       " 'alliance',\n",
       " 'allied',\n",
       " 'allies',\n",
       " 'allisonjanney',\n",
       " 'allow',\n",
       " 'allows',\n",
       " 'ally',\n",
       " 'alongside',\n",
       " 'alpacino',\n",
       " 'alter',\n",
       " 'alternate',\n",
       " 'alternative',\n",
       " 'alunarmstrong',\n",
       " 'amanda',\n",
       " 'amandamackey',\n",
       " 'amandapeet',\n",
       " 'amandaseyfried',\n",
       " 'amazing',\n",
       " 'amberheard',\n",
       " 'ambervalletta',\n",
       " 'ambition',\n",
       " 'ambitious',\n",
       " 'america',\n",
       " 'americaferrera',\n",
       " 'american',\n",
       " 'americans',\n",
       " 'amid',\n",
       " 'amidst',\n",
       " 'amp',\n",
       " 'amy',\n",
       " 'amyadams',\n",
       " 'amypoehler',\n",
       " 'amyryan',\n",
       " 'amysedaris',\n",
       " 'amysmart',\n",
       " 'anagasteyer',\n",
       " 'analyst',\n",
       " 'ancient',\n",
       " 'anderson',\n",
       " 'andiemacdowell',\n",
       " 'andreamartin',\n",
       " 'andrebraugher',\n",
       " 'andrew',\n",
       " 'andrewdaly',\n",
       " 'andrewstanton',\n",
       " 'andy',\n",
       " 'andydick',\n",
       " 'andygarcía',\n",
       " 'andyrichter',\n",
       " 'andysamberg',\n",
       " 'andyserkis',\n",
       " 'angel',\n",
       " 'angelabassett',\n",
       " 'angeles',\n",
       " 'angelinajolie',\n",
       " 'angelo',\n",
       " 'angry',\n",
       " 'angusmacinnes',\n",
       " 'animal',\n",
       " 'animals',\n",
       " 'animated',\n",
       " 'animation',\n",
       " 'anjelicahuston',\n",
       " 'ann',\n",
       " 'anna',\n",
       " 'annafaris',\n",
       " 'annakendrick',\n",
       " 'annalevine',\n",
       " 'annapaquin',\n",
       " 'annapinnock',\n",
       " 'annasophiarobb',\n",
       " 'anndowd',\n",
       " 'anne',\n",
       " 'annebancroft',\n",
       " 'annefletcher',\n",
       " 'annehathaway',\n",
       " 'anneheche',\n",
       " 'annemccarthy',\n",
       " 'annemoss',\n",
       " 'annettebening',\n",
       " 'annie',\n",
       " 'annikapergament',\n",
       " 'annual',\n",
       " 'answer',\n",
       " 'answers',\n",
       " 'anthony',\n",
       " 'anthonyanderson',\n",
       " 'anthonybregman',\n",
       " 'anthonyhopkins',\n",
       " 'anthonymackie',\n",
       " 'anti',\n",
       " 'antics',\n",
       " 'antonicorone',\n",
       " 'antoniobanderas',\n",
       " 'antonyelchin',\n",
       " 'apart',\n",
       " 'apartment',\n",
       " 'apes',\n",
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       " 'apocalyptic',\n",
       " 'appear',\n",
       " 'appears',\n",
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       " 'apprentice',\n",
       " 'approaches',\n",
       " 'april',\n",
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       " 'area',\n",
       " 'arielwinter',\n",
       " 'arigraynor',\n",
       " 'arise',\n",
       " 'armed',\n",
       " 'arminmueller',\n",
       " 'arms',\n",
       " 'armstrong',\n",
       " 'army',\n",
       " 'arnold',\n",
       " 'arnoldschwarzenegger',\n",
       " 'arnonmilchan',\n",
       " 'arrest',\n",
       " 'arrested',\n",
       " 'arrival',\n",
       " 'arrive',\n",
       " 'arrives',\n",
       " 'arriving',\n",
       " 'art',\n",
       " 'arthur',\n",
       " 'arthurj',\n",
       " 'arthurtovey',\n",
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       " 'artists',\n",
       " 'artlinson',\n",
       " 'arts',\n",
       " 'ashley',\n",
       " 'ashleyjudd',\n",
       " 'ashtonkutcher',\n",
       " 'aside',\n",
       " 'ask',\n",
       " 'asked',\n",
       " 'asks',\n",
       " 'aspirations',\n",
       " 'aspiring',\n",
       " 'assassin',\n",
       " 'assassination',\n",
       " 'assassins',\n",
       " 'assigned',\n",
       " 'assignment',\n",
       " 'assistant',\n",
       " 'assumes',\n",
       " 'astronaut',\n",
       " 'astronauts',\n",
       " 'asylum',\n",
       " 'attack',\n",
       " 'attacked',\n",
       " 'attacks',\n",
       " 'attempt',\n",
       " 'attempting',\n",
       " 'attempts',\n",
       " 'attending',\n",
       " 'attention',\n",
       " 'attitude',\n",
       " 'attorney',\n",
       " 'attractive',\n",
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       " 'aunjanueellis',\n",
       " 'aunt',\n",
       " 'austin',\n",
       " 'australia',\n",
       " 'australian',\n",
       " 'author',\n",
       " 'authorities',\n",
       " 'authority',\n",
       " 'avaacres',\n",
       " 'avenge',\n",
       " 'average',\n",
       " 'avoid',\n",
       " 'avykaufman',\n",
       " 'awaits',\n",
       " 'awakens',\n",
       " 'award',\n",
       " 'away',\n",
       " 'awry',\n",
       " 'azizansari',\n",
       " 'baby',\n",
       " 'bachelor',\n",
       " 'backdrop',\n",
       " 'background',\n",
       " 'backgrounds',\n",
       " 'bad',\n",
       " 'bag',\n",
       " 'bail',\n",
       " 'bailey',\n",
       " 'bailing',\n",
       " 'baker',\n",
       " 'balance',\n",
       " 'ballet',\n",
       " 'band',\n",
       " 'banished',\n",
       " 'bank',\n",
       " 'banker',\n",
       " 'baptiste',\n",
       " 'bar',\n",
       " 'barbarahershey',\n",
       " 'barbrastreisand',\n",
       " 'barely',\n",
       " 'bargained',\n",
       " 'barney',\n",
       " 'barriem',\n",
       " 'barry',\n",
       " 'barrylevinson',\n",
       " 'barrypepper',\n",
       " 'barryshabakahenley',\n",
       " 'bars',\n",
       " 'base',\n",
       " 'baseball',\n",
       " 'based',\n",
       " 'basketball',\n",
       " 'batman',\n",
       " 'battle',\n",
       " 'battles',\n",
       " 'battling',\n",
       " 'bay',\n",
       " 'bdwong',\n",
       " 'beach',\n",
       " 'bear',\n",
       " 'bears',\n",
       " 'beast',\n",
       " 'beasts',\n",
       " 'beat',\n",
       " 'beaubridges',\n",
       " 'beautiful',\n",
       " 'beauty',\n",
       " 'beccasweitzer',\n",
       " 'bed',\n",
       " 'befriends',\n",
       " 'began',\n",
       " 'begin',\n",
       " 'beginning',\n",
       " 'begins',\n",
       " 'behavior',\n",
       " 'beliefs',\n",
       " 'believe',\n",
       " 'believed',\n",
       " 'believes',\n",
       " 'believing',\n",
       " 'beloved',\n",
       " 'ben',\n",
       " 'benaffleck',\n",
       " 'benchaplin',\n",
       " 'benedictcumberbatch',\n",
       " 'benfoster',\n",
       " 'bengazzara',\n",
       " 'beniciodeltoro',\n",
       " 'benjamin',\n",
       " 'benjaminbratt',\n",
       " 'benkingsley',\n",
       " 'benmendelsohn',\n",
       " 'bennett',\n",
       " 'benstiller',\n",
       " 'bent',\n",
       " 'benwhishaw',\n",
       " 'berger',\n",
       " 'berlin',\n",
       " 'bernardhill',\n",
       " 'bernardlee',\n",
       " 'berndeichinger',\n",
       " 'berniemac',\n",
       " 'best',\n",
       " 'bet',\n",
       " 'beth',\n",
       " 'bethgrant',\n",
       " 'betrayal',\n",
       " 'bettemidler',\n",
       " 'better',\n",
       " 'betty',\n",
       " 'beverly',\n",
       " 'big',\n",
       " 'bigger',\n",
       " 'biggest',\n",
       " 'biker',\n",
       " 'billabbott',\n",
       " 'billcamp',\n",
       " 'billcobbs',\n",
       " 'billduke',\n",
       " 'billhader',\n",
       " 'billionaire',\n",
       " 'billmoseley',\n",
       " 'billmurray',\n",
       " 'billnighy',\n",
       " 'billnunn',\n",
       " 'billpankow',\n",
       " 'billpaxton',\n",
       " 'billpullman',\n",
       " 'billy',\n",
       " 'billybobthornton',\n",
       " 'billyburke',\n",
       " 'billyconnolly',\n",
       " 'billycrudup',\n",
       " 'billycrystal',\n",
       " 'billydeewilliams',\n",
       " 'billyhopkins',\n",
       " 'billyslaughter',\n",
       " 'billywest',\n",
       " 'billyzane',\n",
       " 'biography',\n",
       " 'bird',\n",
       " 'birth',\n",
       " 'birthday',\n",
       " 'bishop',\n",
       " 'bit',\n",
       " 'bitter',\n",
       " 'bizarre',\n",
       " 'black',\n",
       " 'blade',\n",
       " 'blake',\n",
       " 'blakeclark',\n",
       " 'blame',\n",
       " 'blind',\n",
       " 'block',\n",
       " 'blonde',\n",
       " 'blood',\n",
       " 'bloodthirsty',\n",
       " 'bloody',\n",
       " 'blow',\n",
       " 'blue',\n",
       " 'blythedanner',\n",
       " 'board',\n",
       " 'boarding',\n",
       " 'boat',\n",
       " 'bob',\n",
       " 'bobbalaban',\n",
       " 'bobbergen',\n",
       " 'bobby',\n",
       " 'bobbycannavale',\n",
       " 'bobbymoynihan',\n",
       " 'bobclendenin',\n",
       " 'bobgunton',\n",
       " 'bobhoskins',\n",
       " 'bobpeterson',\n",
       " 'bobstephenson',\n",
       " 'bobweinstein',\n",
       " 'body',\n",
       " 'bokeemwoodbine',\n",
       " 'bold',\n",
       " 'bomb',\n",
       " 'bond',\n",
       " 'bonniehunt',\n",
       " 'bonnietimmermann',\n",
       " 'book',\n",
       " 'books',\n",
       " 'border',\n",
       " 'bored',\n",
       " 'boring',\n",
       " 'born',\n",
       " 'boss',\n",
       " 'boston',\n",
       " 'bound',\n",
       " 'boundaries',\n",
       " 'bounty',\n",
       " 'box',\n",
       " 'boxer',\n",
       " 'boxing',\n",
       " 'boy',\n",
       " 'boydbanks',\n",
       " 'boydholbrook',\n",
       " 'boyfriend',\n",
       " 'boys',\n",
       " 'braddourif',\n",
       " 'bradgarrett',\n",
       " 'bradleycooper',\n",
       " 'bradleywhitford',\n",
       " 'bradpitt',\n",
       " 'bradwilliamhenke',\n",
       " 'brain',\n",
       " 'brave',\n",
       " 'break',\n",
       " 'breaking',\n",
       " 'breaks',\n",
       " 'breckinmeyer',\n",
       " 'brendanfraser',\n",
       " 'brendangleeson',\n",
       " 'brendansextoniii',\n",
       " 'brentbriscoe',\n",
       " 'brentspiner',\n",
       " 'brettcullen',\n",
       " 'brettrice',\n",
       " 'brian',\n",
       " 'brianblessed',\n",
       " 'briancox',\n",
       " 'briandennehy',\n",
       " 'briandepalma',\n",
       " 'briandoyle',\n",
       " 'briangrazer',\n",
       " 'brianhowe',\n",
       " 'brianj',\n",
       " 'briano',\n",
       " 'briansteele',\n",
       " 'briantyler',\n",
       " 'brianvanholt',\n",
       " 'bride',\n",
       " 'bridge',\n",
       " 'bridgettewilson',\n",
       " 'brief',\n",
       " 'brielarson',\n",
       " 'brien',\n",
       " 'brilliant',\n",
       " 'bring',\n",
       " 'bringing',\n",
       " 'brings',\n",
       " 'brink',\n",
       " 'britain',\n",
       " 'british',\n",
       " 'brittanymurphy',\n",
       " 'broadway',\n",
       " 'broke',\n",
       " 'broken',\n",
       " 'brooklyn',\n",
       " 'brooks',\n",
       " 'brother',\n",
       " 'brothers',\n",
       " 'brought',\n",
       " 'brown',\n",
       " 'bruce',\n",
       " 'bruceberman',\n",
       " 'brucecampbell',\n",
       " 'brucedern',\n",
       " 'brucegreenwood',\n",
       " 'brucemcgill',\n",
       " 'brucespence',\n",
       " 'brucewillis',\n",
       " 'brutal',\n",
       " 'brutally',\n",
       " 'bryan',\n",
       " 'bryancranston',\n",
       " 'brycedallashoward',\n",
       " 'bubasman',\n",
       " 'buck',\n",
       " 'buddies',\n",
       " 'buddy',\n",
       " 'budget',\n",
       " 'build',\n",
       " 'building',\n",
       " 'built',\n",
       " 'bully',\n",
       " 'bumbling',\n",
       " 'buried',\n",
       " 'burns',\n",
       " 'burtreynolds',\n",
       " 'bus',\n",
       " 'bush',\n",
       " 'business',\n",
       " 'businessman',\n",
       " 'busy',\n",
       " 'butler',\n",
       " 'buy',\n",
       " 'byrne',\n",
       " 'cabin',\n",
       " 'california',\n",
       " 'called',\n",
       " 'calls',\n",
       " 'callumkeithrennie',\n",
       " 'calvin',\n",
       " 'came',\n",
       " 'camera',\n",
       " 'cameraman',\n",
       " 'cameras',\n",
       " 'cameron',\n",
       " 'cameronbright',\n",
       " 'camerondiaz',\n",
       " 'camgigandet',\n",
       " 'camp',\n",
       " 'campaign',\n",
       " 'campbell',\n",
       " 'campbellscott',\n",
       " 'campus',\n",
       " 'canada',\n",
       " 'canadian',\n",
       " 'cancer',\n",
       " 'candidate',\n",
       " 'capable',\n",
       " 'capital',\n",
       " 'captain',\n",
       " 'captive',\n",
       " 'capture',\n",
       " 'captured',\n",
       " 'captures',\n",
       " 'car',\n",
       " 'caraseymour',\n",
       " 'card',\n",
       " 'care',\n",
       " 'career',\n",
       " 'carefree',\n",
       " 'careymulligan',\n",
       " 'carl',\n",
       " 'carlagallo',\n",
       " 'carlagugino',\n",
       " 'carlosalazraqui',\n",
       " 'carlossaldanha',\n",
       " 'carmen',\n",
       " 'carmenelectra',\n",
       " 'carolineaaron',\n",
       " 'carolinegoodall',\n",
       " 'carolkane',\n",
       " 'carpenter',\n",
       " 'carrie',\n",
       " 'carriefisher',\n",
       " 'carry',\n",
       " 'carrying',\n",
       " 'cars',\n",
       " 'carter',\n",
       " 'carterburwell',\n",
       " 'cary',\n",
       " 'caryelwes',\n",
       " 'case',\n",
       " 'caseyaffleck',\n",
       " 'cash',\n",
       " 'casino',\n",
       " 'cast',\n",
       " 'castle',\n",
       " 'cat',\n",
       " 'catch',\n",
       " 'catches',\n",
       " 'cateblanchett',\n",
       " 'catherinekeener',\n",
       " 'catherineo',\n",
       " 'catherinezeta',\n",
       " 'cathey',\n",
       " 'catholic',\n",
       " 'cathysandrich',\n",
       " 'caught',\n",
       " 'cause',\n",
       " 'caused',\n",
       " 'causes',\n",
       " 'causing',\n",
       " 'cave',\n",
       " 'cedrictheentertainer',\n",
       " 'celebrate',\n",
       " 'celebrated',\n",
       " 'celebration',\n",
       " 'celebrity',\n",
       " 'celiaimrie',\n",
       " 'celiaweston',\n",
       " 'center',\n",
       " 'centered',\n",
       " 'centers',\n",
       " 'central',\n",
       " 'centuries',\n",
       " 'century',\n",
       " 'certain',\n",
       " 'chadmichaelmurray',\n",
       " 'chain',\n",
       " 'challenge',\n",
       " 'challenged',\n",
       " 'challenges',\n",
       " 'champion',\n",
       " 'championship',\n",
       " 'chance',\n",
       " 'chancekelly',\n",
       " 'change',\n",
       " 'changed',\n",
       " 'changes',\n",
       " 'changing',\n",
       " 'channingtatum',\n",
       " 'chaos',\n",
       " 'chapter',\n",
       " 'character',\n",
       " 'characters',\n",
       " 'charge',\n",
       " 'charged',\n",
       " 'charismatic',\n",
       " 'charles',\n",
       " 'charlesdance',\n",
       " 'charlesdurning',\n",
       " 'charlesmartinsmith',\n",
       " 'charlesminsky',\n",
       " 'charlesnapier',\n",
       " 'charlesroven',\n",
       " 'charless',\n",
       " 'charlie',\n",
       " 'charliekaufman',\n",
       " 'charliesheen',\n",
       " 'charlizetheron',\n",
       " 'charlotterampling',\n",
       " 'charltonheston',\n",
       " 'charm',\n",
       " 'charming',\n",
       " 'chase',\n",
       " 'chased',\n",
       " 'chazzpalminteri',\n",
       " 'cheating',\n",
       " 'cheechmarin',\n",
       " 'chef',\n",
       " 'chelcieross',\n",
       " 'chemical',\n",
       " 'cher',\n",
       " 'cherryjones',\n",
       " 'chevychase',\n",
       " 'chicago',\n",
       " 'chief',\n",
       " 'child',\n",
       " 'childhood',\n",
       " 'children',\n",
       " 'chilling',\n",
       " 'chimcbride',\n",
       " 'china',\n",
       " 'chinese',\n",
       " 'chip',\n",
       " 'chiwetelejiofor',\n",
       " 'chloëgracemoretz',\n",
       " 'chloësevigny',\n",
       " 'choice',\n",
       " 'choices',\n",
       " 'choose',\n",
       " 'chosen',\n",
       " 'chowyun',\n",
       " 'chris',\n",
       " 'chrisbauer',\n",
       " 'chrisbender',\n",
       " 'chriscooper',\n",
       " 'chrisellis',\n",
       " 'chrisevans',\n",
       " 'chrishemsworth',\n",
       " 'chriskattan',\n",
       " 'chrisklein',\n",
       " 'chrislebenzon',\n",
       " 'chrismessina',\n",
       " 'chrismiller',\n",
       " 'chrismulkey',\n",
       " 'chriso',\n",
       " 'chrisparnell',\n",
       " 'chrispenn',\n",
       " 'chrispine',\n",
       " 'chrispratt',\n",
       " 'chrisrock',\n",
       " 'christian',\n",
       " 'christianbale',\n",
       " 'christianslater',\n",
       " 'christinaapplegate',\n",
       " 'christinaricci',\n",
       " 'christinebaranski',\n",
       " 'christmas',\n",
       " 'christopher',\n",
       " 'christopherboyes',\n",
       " 'christopherdoyle',\n",
       " 'christophergreenbury',\n",
       " 'christopherguest',\n",
       " 'christopherlambert',\n",
       " 'christopherlee',\n",
       " 'christopherlloyd',\n",
       " 'christophermcdonald',\n",
       " 'christophermeloni',\n",
       " 'christophermintz',\n",
       " 'christophernolan',\n",
       " 'christopherplummer',\n",
       " 'christopherwalken',\n",
       " 'christopheryoung',\n",
       " 'christophwaltz',\n",
       " 'chriswedge',\n",
       " 'chrisweitz',\n",
       " 'chronicle',\n",
       " 'chronicles',\n",
       " 'chuck',\n",
       " 'church',\n",
       " 'cia',\n",
       " 'ciaránhinds',\n",
       " 'cillianmurphy',\n",
       " 'circle',\n",
       " 'circuit',\n",
       " 'circumstances',\n",
       " 'circus',\n",
       " 'citizens',\n",
       " 'city',\n",
       " 'civil',\n",
       " 'civilization',\n",
       " 'claim',\n",
       " 'claims',\n",
       " 'claire',\n",
       " 'clairedanes',\n",
       " 'claireforlani',\n",
       " 'clan',\n",
       " 'clancybrown',\n",
       " 'clark',\n",
       " 'clarkduke',\n",
       " 'clarkgregg',\n",
       " 'clash',\n",
       " 'class',\n",
       " 'classes',\n",
       " 'classic',\n",
       " 'classmate',\n",
       " 'classmates',\n",
       " 'claudevandamme',\n",
       " 'cleaduvall',\n",
       " 'clean',\n",
       " 'clear',\n",
       " 'clerk',\n",
       " 'client',\n",
       " 'cliffcurtis',\n",
       " 'cliffmartinez',\n",
       " 'cliftoncollinsjr',\n",
       " 'clinteastwood',\n",
       " 'clinthoward',\n",
       " 'cliveowen',\n",
       " 'clock',\n",
       " 'clone',\n",
       " 'clorisleachman',\n",
       " 'close',\n",
       " 'closer',\n",
       " 'club',\n",
       " 'clues',\n",
       " 'clutches',\n",
       " 'clydekusatsu',\n",
       " 'coach',\n",
       " 'coast',\n",
       " 'cocaine',\n",
       " 'code',\n",
       " 'cody',\n",
       " 'codycameron',\n",
       " 'cohen',\n",
       " 'col',\n",
       " 'cold',\n",
       " 'cole',\n",
       " 'colehauser',\n",
       " 'colinfarrell',\n",
       " 'colinfirth',\n",
       " 'colinhanks',\n",
       " 'colinsalmon',\n",
       " 'collapse',\n",
       " 'colleague',\n",
       " 'colleagues',\n",
       " 'collect',\n",
       " 'collection',\n",
       " 'collector',\n",
       " 'colleenatwood',\n",
       " 'colleencamp',\n",
       " 'college',\n",
       " 'collide',\n",
       " 'collins',\n",
       " 'collision',\n",
       " 'colmfeore',\n",
       " 'colmmeaney',\n",
       " 'colonel',\n",
       " 'colorful',\n",
       " 'coma',\n",
       " 'combat',\n",
       " 'come',\n",
       " 'comedian',\n",
       " 'comedic',\n",
       " 'comedy',\n",
       " 'comes',\n",
       " 'comic',\n",
       " 'comics',\n",
       " 'coming',\n",
       " 'command',\n",
       " 'commander',\n",
       " 'commit',\n",
       " 'commitment',\n",
       " 'committed',\n",
       " 'common',\n",
       " 'community',\n",
       " 'companion',\n",
       " 'company',\n",
       " 'compete',\n",
       " 'competing',\n",
       " 'competition',\n",
       " 'complete',\n",
       " 'completely',\n",
       " 'complex',\n",
       " 'complicated',\n",
       " 'complications',\n",
       " 'compton',\n",
       " 'computer',\n",
       " 'concert',\n",
       " 'conchataferrell',\n",
       " 'condition',\n",
       " 'confident',\n",
       " 'conflict',\n",
       " 'confront',\n",
       " 'connected',\n",
       " 'connection',\n",
       " 'connell',\n",
       " 'connienielsen',\n",
       " 'connieray',\n",
       " 'connor',\n",
       " 'conquer',\n",
       " 'conradvernon',\n",
       " 'conscience',\n",
       " 'consequences',\n",
       " 'conspiracy',\n",
       " 'constant',\n",
       " 'constantly',\n",
       " 'construction',\n",
       " 'contact',\n",
       " 'contest',\n",
       " 'continue',\n",
       " 'continues',\n",
       " 'contract',\n",
       " 'control',\n",
       " 'controversial',\n",
       " 'converge',\n",
       " 'convict',\n",
       " 'convicted',\n",
       " 'convince',\n",
       " 'convinced',\n",
       " 'convinces',\n",
       " 'cook',\n",
       " 'cool',\n",
       " 'cooper',\n",
       " 'cop',\n",
       " 'cope',\n",
       " 'cops',\n",
       " 'core',\n",
       " 'coreyburton',\n",
       " 'coreyfeldman',\n",
       " 'coreyjohnson',\n",
       " 'coreystoll',\n",
       " 'corner',\n",
       " 'corporate',\n",
       " 'corporation',\n",
       " 'corrupt',\n",
       " 'corruption',\n",
       " 'cost',\n",
       " 'costasmandylor',\n",
       " 'couldn',\n",
       " 'count',\n",
       " 'country',\n",
       " 'countryside',\n",
       " 'couple',\n",
       " 'couples',\n",
       " 'courage',\n",
       " 'courageous',\n",
       " 'course',\n",
       " 'court',\n",
       " 'courteneycox',\n",
       " 'courtneyb',\n",
       " 'cousin',\n",
       " 'cover',\n",
       " 'covert',\n",
       " 'cowboy',\n",
       " 'crack',\n",
       " 'craig',\n",
       " 'craigbierko',\n",
       " 'craigrobinson',\n",
       " 'craigt',\n",
       " ...]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv.get_feature_names()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "a778946a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics.pairwise import cosine_similarity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "186bf516",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 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=int64)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vectors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "0ff9d308",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.        , 0.09095086, 0.06063391, ..., 0.        , 0.        ,\n",
       "        0.        ],\n",
       "       [0.09095086, 1.        , 0.08823529, ..., 0.0285831 , 0.        ,\n",
       "        0.        ],\n",
       "       [0.06063391, 0.08823529, 1.        , ..., 0.0285831 , 0.        ,\n",
       "        0.        ],\n",
       "       ...,\n",
       "       [0.        , 0.0285831 , 0.0285831 , ..., 1.        , 0.08333333,\n",
       "        0.02946278],\n",
       "       [0.        , 0.        , 0.        , ..., 0.08333333, 1.        ,\n",
       "        0.05892557],\n",
       "       [0.        , 0.        , 0.        , ..., 0.02946278, 0.05892557,\n",
       "        1.        ]])"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cosine_similarity(vectors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "cbd20c4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "similarity = cosine_similarity(vectors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "2660bd97",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4806, 4806)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "similarity.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "0dc247e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(4405, 0.2041241452319315),\n",
       " (539, 0.19050019050028574),\n",
       " (3608, 0.18870735310601722),\n",
       " (7, 0.18569533817705183),\n",
       " (972, 0.17928429140015903)]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(list(enumerate(similarity[0])),reverse=True,key=lambda x:x[1])[1:6]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "1b1e59d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "def recommend(movie):\n",
    "    movie_index = new_df[new_df['title'] == movie].index[0]\n",
    "    distances = similarity[movie_index]\n",
    "    movie_list = sorted(list(enumerate(distances)),reverse=True,key=lambda x:x[1])[1:6]\n",
    "    \n",
    "    for i in movie_list:\n",
    "        print(new_df.iloc[i[0]].title)\n",
    "    return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "96f983b7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Legend of the Guardians: The Owls of Ga'Hoole\n",
      "The Book of Life\n",
      "The NeverEnding Story\n",
      "Nicholas Nickleby\n",
      "The Lost Medallion: The Adventures of Billy Stone\n"
     ]
    }
   ],
   "source": [
    "recommend('Mulan')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "a29dfe81",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "300f3f24",
   "metadata": {},
   "outputs": [],
   "source": [
    "pickle.dump(new_df.to_dict(),open('movies_dict.pkl','wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "e26ef0b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "pickle.dump(similarity,open('similarity.pkl','wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e726ec62",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
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