sentiment_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda2\\lib\\site-packages\\nltk\\twitter\\__init__.py:20: UserWarning: The twython library has not been installed. Some functionality from the twitter package will not be available.\n",
      "  warnings.warn(\"The twython library has not been installed. \"\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import nltk\n",
    "import re\n",
    "\n",
    "from sklearn.feature_extraction.stop_words import ENGLISH_STOP_WORDS\n",
    "from nltk.sentiment.vader import SentimentIntensityAnalyzer\n",
    "from nltk.corpus import movie_reviews as reviews\n",
    "from nltk import word_tokenize\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "from nltk.tag import pos_tag\n",
    "from nltk.text import Text\n",
    "\n",
    "sid = SentimentIntensityAnalyzer()\n",
    "word_lm = WordNetLemmatizer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "movie_reviews = []\n",
    "for fileid in reviews.fileids():\n",
    "    ss = sid.polarity_scores(reviews.raw(fileid))\n",
    "    movie_reviews.append((reviews.raw(fileid), ss['neg'], ss['neu'], ss['pos'], ss['compound']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "      <th>text</th>\n",
       "      <th>neg</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>plot : two teen couples go to a church party ,...</td>\n",
       "      <td>0.093</td>\n",
       "      <td>0.762</td>\n",
       "      <td>0.145</td>\n",
       "      <td>0.9924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>the happy bastard's quick movie review \\ndamn ...</td>\n",
       "      <td>0.041</td>\n",
       "      <td>0.866</td>\n",
       "      <td>0.093</td>\n",
       "      <td>0.9160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>it is movies like these that make a jaded movi...</td>\n",
       "      <td>0.098</td>\n",
       "      <td>0.789</td>\n",
       "      <td>0.113</td>\n",
       "      <td>0.7050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>\" quest for camelot \" is warner bros . ' firs...</td>\n",
       "      <td>0.152</td>\n",
       "      <td>0.713</td>\n",
       "      <td>0.136</td>\n",
       "      <td>-0.8481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>synopsis : a mentally unstable man undergoing ...</td>\n",
       "      <td>0.077</td>\n",
       "      <td>0.844</td>\n",
       "      <td>0.079</td>\n",
       "      <td>0.6824</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text    neg    neu    pos  \\\n",
       "0  plot : two teen couples go to a church party ,...  0.093  0.762  0.145   \n",
       "1  the happy bastard's quick movie review \\ndamn ...  0.041  0.866  0.093   \n",
       "2  it is movies like these that make a jaded movi...  0.098  0.789  0.113   \n",
       "3   \" quest for camelot \" is warner bros . ' firs...  0.152  0.713  0.136   \n",
       "4  synopsis : a mentally unstable man undergoing ...  0.077  0.844  0.079   \n",
       "\n",
       "   compound  \n",
       "0    0.9924  \n",
       "1    0.9160  \n",
       "2    0.7050  \n",
       "3   -0.8481  \n",
       "4    0.6824  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(movie_reviews, columns=['text', 'neg', 'neu', 'pos', 'compound'])\n",
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>neg</th>\n",
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       "    <tr>\n",
       "      <th>955</th>\n",
       "      <td>words i thought i'd never write : the sequel t...</td>\n",
       "      <td>0.255</td>\n",
       "      <td>0.674</td>\n",
       "      <td>0.071</td>\n",
       "      <td>-0.9981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>rated : r for strong violence , language , dru...</td>\n",
       "      <td>0.243</td>\n",
       "      <td>0.640</td>\n",
       "      <td>0.117</td>\n",
       "      <td>-0.9989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>404</th>\n",
       "      <td>can a horror movie truly be called a horror mo...</td>\n",
       "      <td>0.240</td>\n",
       "      <td>0.717</td>\n",
       "      <td>0.044</td>\n",
       "      <td>-0.9987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1651</th>\n",
       "      <td>it might surprise some to know that joel and e...</td>\n",
       "      <td>0.237</td>\n",
       "      <td>0.689</td>\n",
       "      <td>0.074</td>\n",
       "      <td>-0.9993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1747</th>\n",
       "      <td>edward zwick's \" the siege \" raises more quest...</td>\n",
       "      <td>0.228</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.105</td>\n",
       "      <td>-0.9954</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "                                                   text    neg    neu    pos  \\\n",
       "955   words i thought i'd never write : the sequel t...  0.255  0.674  0.071   \n",
       "64    rated : r for strong violence , language , dru...  0.243  0.640  0.117   \n",
       "404   can a horror movie truly be called a horror mo...  0.240  0.717  0.044   \n",
       "1651  it might surprise some to know that joel and e...  0.237  0.689  0.074   \n",
       "1747  edward zwick's \" the siege \" raises more quest...  0.228  0.667  0.105   \n",
       "\n",
       "      compound  \n",
       "955    -0.9981  \n",
       "64     -0.9989  \n",
       "404    -0.9987  \n",
       "1651   -0.9993  \n",
       "1747   -0.9954  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_values('neg', ascending=False).head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>1144</th>\n",
       "      <td>the dramatic comedy cousins has all the necess...</td>\n",
       "      <td>0.030</td>\n",
       "      <td>0.640</td>\n",
       "      <td>0.330</td>\n",
       "      <td>0.9993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1542</th>\n",
       "      <td>don't let the following quirks of this review ...</td>\n",
       "      <td>0.046</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.326</td>\n",
       "      <td>0.9983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1517</th>\n",
       "      <td>the happy bastard's 30-second review \\nnotting...</td>\n",
       "      <td>0.057</td>\n",
       "      <td>0.637</td>\n",
       "      <td>0.306</td>\n",
       "      <td>0.9966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1751</th>\n",
       "      <td>life is beautiful is a rare treat : a lighthea...</td>\n",
       "      <td>0.105</td>\n",
       "      <td>0.597</td>\n",
       "      <td>0.298</td>\n",
       "      <td>0.9989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1752</th>\n",
       "      <td>you've probably heard the one about the priest...</td>\n",
       "      <td>0.059</td>\n",
       "      <td>0.650</td>\n",
       "      <td>0.291</td>\n",
       "      <td>0.9996</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "                                                   text    neg    neu    pos  \\\n",
       "1144  the dramatic comedy cousins has all the necess...  0.030  0.640  0.330   \n",
       "1542  don't let the following quirks of this review ...  0.046  0.629  0.326   \n",
       "1517  the happy bastard's 30-second review \\nnotting...  0.057  0.637  0.306   \n",
       "1751  life is beautiful is a rare treat : a lighthea...  0.105  0.597  0.298   \n",
       "1752  you've probably heard the one about the priest...  0.059  0.650  0.291   \n",
       "\n",
       "      compound  \n",
       "1144    0.9993  \n",
       "1542    0.9983  \n",
       "1517    0.9966  \n",
       "1751    0.9989  \n",
       "1752    0.9996  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_values('pos', ascending=False).head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "      <th>305</th>\n",
       "      <td>walt disney studios may have finally met its m...</td>\n",
       "      <td>0.054</td>\n",
       "      <td>0.918</td>\n",
       "      <td>0.027</td>\n",
       "      <td>-0.7522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>deserves recognition for : achieving the near-...</td>\n",
       "      <td>0.015</td>\n",
       "      <td>0.915</td>\n",
       "      <td>0.069</td>\n",
       "      <td>0.7391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1881</th>\n",
       "      <td>the word 'rest' in the title should be stresse...</td>\n",
       "      <td>0.024</td>\n",
       "      <td>0.913</td>\n",
       "      <td>0.063</td>\n",
       "      <td>0.8970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1255</th>\n",
       "      <td>it is often said by his fans that hal hartley ...</td>\n",
       "      <td>0.041</td>\n",
       "      <td>0.898</td>\n",
       "      <td>0.061</td>\n",
       "      <td>0.8659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>446</th>\n",
       "      <td>here is a movie that sadly follows the hong ko...</td>\n",
       "      <td>0.064</td>\n",
       "      <td>0.898</td>\n",
       "      <td>0.038</td>\n",
       "      <td>-0.8995</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "                                                   text    neg    neu    pos  \\\n",
       "305   walt disney studios may have finally met its m...  0.054  0.918  0.027   \n",
       "177   deserves recognition for : achieving the near-...  0.015  0.915  0.069   \n",
       "1881  the word 'rest' in the title should be stresse...  0.024  0.913  0.063   \n",
       "1255  it is often said by his fans that hal hartley ...  0.041  0.898  0.061   \n",
       "446   here is a movie that sadly follows the hong ko...  0.064  0.898  0.038   \n",
       "\n",
       "      compound  \n",
       "305    -0.7522  \n",
       "177     0.7391  \n",
       "1881    0.8970  \n",
       "1255    0.8659  \n",
       "446    -0.8995  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_values('neu', ascending=False).head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "      <th>1780</th>\n",
       "      <td>note : some may consider portions of the follo...</td>\n",
       "      <td>0.038</td>\n",
       "      <td>0.676</td>\n",
       "      <td>0.286</td>\n",
       "      <td>0.9999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1509</th>\n",
       "      <td>as i write the review for the new hanks/ryan r...</td>\n",
       "      <td>0.044</td>\n",
       "      <td>0.668</td>\n",
       "      <td>0.288</td>\n",
       "      <td>0.9999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1728</th>\n",
       "      <td>playwright tom stoppard and screenwriter marc ...</td>\n",
       "      <td>0.066</td>\n",
       "      <td>0.665</td>\n",
       "      <td>0.270</td>\n",
       "      <td>0.9998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1908</th>\n",
       "      <td>i actually am a fan of the original 1961 or so...</td>\n",
       "      <td>0.054</td>\n",
       "      <td>0.733</td>\n",
       "      <td>0.213</td>\n",
       "      <td>0.9998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1163</th>\n",
       "      <td>note : some may consider portions of the follo...</td>\n",
       "      <td>0.048</td>\n",
       "      <td>0.749</td>\n",
       "      <td>0.203</td>\n",
       "      <td>0.9998</td>\n",
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      "text/plain": [
       "                                                   text    neg    neu    pos  \\\n",
       "1780  note : some may consider portions of the follo...  0.038  0.676  0.286   \n",
       "1509  as i write the review for the new hanks/ryan r...  0.044  0.668  0.288   \n",
       "1728  playwright tom stoppard and screenwriter marc ...  0.066  0.665  0.270   \n",
       "1908  i actually am a fan of the original 1961 or so...  0.054  0.733  0.213   \n",
       "1163  note : some may consider portions of the follo...  0.048  0.749  0.203   \n",
       "\n",
       "      compound  \n",
       "1780    0.9999  \n",
       "1509    0.9999  \n",
       "1728    0.9998  \n",
       "1908    0.9998  \n",
       "1163    0.9998  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_values('compound', ascending=False).head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pre_processing(data_frame, txt_clm):\n",
    "    \n",
    "    df_txt = data_frame.copy()\n",
    "    df_txt['lower_txt'] = df_txt[txt_clm].str.lower()\n",
    "    df_txt['punc_rm'] = df_txt['lower_txt'].str.replace('[^\\w\\s]','')\n",
    "    df_txt['links_rm'] = df_txt['punc_rm'].apply(lambda v: re.sub(r'http\\S+', '', v))\n",
    "    df_txt['stopwords_rm'] = df_txt['links_rm'].apply(lambda x: \" \".join(x for x in x.split() if x not in ENGLISH_STOP_WORDS))\n",
    "    df_txt['lemmatize_text'] = df_txt['stopwords_rm'].apply(lambda v: \" \".join([word_lm.lemmatize(i) for i in v.split()]))\n",
    "    df_txt['processed_text'] = df_txt['lemmatize_text'].apply(lambda x: word_tokenize(x))\n",
    "    df_txt['raw_text'] = df_txt['processed_text'].apply(lambda x: \" \".join(w for w in x if len(w)> 3))\n",
    "    return df_txt[[txt_clm, 'raw_text']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "nnp_list = []\n",
    "df_sub = pre_processing(df, 'text')\n",
    "sentences = df_sub['raw_text']\n",
    "for sentence in sentences:\n",
    "    tagged_sent = pos_tag(sentence.split())\n",
    "    for word, pos in tagged_sent:\n",
    "        if pos == 'NNP' and len(word):\n",
    "            nnp_list.append(word)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "keaton 29\n",
      "_the 22\n",
      "october 17\n",
      "killer 15\n",
      "kevin 14\n",
      "kill 13\n",
      "zane 13\n",
      "milton 8\n",
      "trek 8\n",
      "katrina 7\n",
      "schreiber 7\n",
      "know 7\n",
      "knock 7\n",
      "_not_ 6\n",
      "flubber 6\n",
      "kelley 6\n",
      "xavier 6\n",
      "karen 6\n",
      "_is_ 6\n",
      "molina 6\n"
     ]
    }
   ],
   "source": [
    "fd = nltk.FreqDist(nnp_list)\n",
    "for k in fd.most_common(20):\n",
    "    print k[0], k[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "text = nltk.Text(nltk.word_tokenize(\"\\n\".join(df['text'].values.tolist())))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Displaying 25 of 25 matches:\n",
      "nnell stars in this remake of buster keaton 's 1925 silent film seven chances . \n",
      "as i 'm more of a chaplin fan than a keaton fan , but i seriously doubt that the\n",
      "le dialogue to say . i think michael keaton is the quintessential batman but val\n",
      "nd bring back catwoman . and michael keaton . but we can only hope . writers : d\n",
      "ent , with the solid team of michael keaton and andy garcia unthankfully thrown \n",
      "ent sociopath peter mccabe ( michael keaton ) , currently serving a life sentenc\n",
      "enes where the good guys catch up to keaton only to have him grab a hostage and \n",
      "rtment . cast against type , michael keaton 's understated menace is highly effe\n",
      "essful fabric designer ellie ( diane keaton ) for twenty-five years . they and b\n",
      "oes n't initiate his own sex romps ? keaton 's ellie has a trusting nature that \n",
      "` unsung heroes ' . meg ryan , diane keaton and lisa kudrow play a trio of siste\n",
      "ursue a impending career . georgia ( keaton ) , the eldest daughter , is celebra\n",
      "ds ' , is totally wasted . ditto for keaton , who is serving a double shift as c\n",
      "e things . first is , i miss michael keaton , i miss tim burton and would much p\n",
      " in arthur or , better yet , michael keaton in clean and sober before making ski\n",
      "convince her sisters georgia ( diane keaton ) and maddy ( lisa kudrow ) that the\n",
      "vanity fair . ' `` and , yes , diane keaton is literally old enough to be lisa k\n",
      "ter the other . jack frost ( michael keaton ) is a struggling middle-aged rock m\n",
      " in a silly film like this . michael keaton at least got off easy , since he dis\n",
      "e 's in . enough already ! and diane keaton must 've spent more time thinking ab\n",
      "phron and sloppily directed by diane keaton . make me laugh again ! not only is \n",
      "two co-stars , lisa kudrow and diane keaton , little more than extended cameos ,\n",
      " her older sister is georgia ( diane keaton ) , an editor for the self-titled ma\n",
      "f meg ryan , lisa kudrow , and diane keaton be so very bad in so many different \n",
      "yan brings to the situations . diane keaton , as georgia , is better as an actre\n",
      "None\n",
      "Displaying 25 of 25 matches:\n",
      "es for drew barrymore characters . in _the wedding singer_ , she was julia gulia\n",
      "s she does . could n't she just go to _the gap_ and take suggestions ? had she d\n",
      " _brazil_ is on my personal top ten . _the city of lost children_ is a great fil\n",
      "rs ago ? how about the muppets ? even _the bad news bears_ travelled to tokyo . \n",
      "ity to see , what you believe to be , _the horse whisperer_ . but , poor moviego\n",
      "ase for the 1990 paul mayersberg film _the last samurai_ . though the blurb allu\n",
      "olutionary with the sword . the end . _the last samurai_ is one of those movies \n",
      "ovel or watch a kurusawa movie . skip _the last samurai_ unless you are a die-ha\n",
      "n the intense scares of _halloween_ , _the thing_ and _the prince of darkness_ ,\n",
      "ares of _halloween_ , _the thing_ and _the prince of darkness_ , or the offbeat \n",
      "ciety in which he = lives . granted , _the great dictator_ comes to mind -- char\n",
      "s graphic novel `` arkham asylum `` , _the caveman 's valentine_ is a feverish t\n",
      "deas , and every character the same , _the caveman 's valentine_ is a concept so\n",
      "h `` gotham pd . `` that being said , _the caveman 's valentine_ can only really\n",
      " a police procedural when , in fact , _the caveman 's valentine_ is a superhero \n",
      "on itself . whether or not romulus of _the caveman 's valentine_ will found a na\n",
      ", a franchise , the fact remains that _the caveman 's valentine_ is easily the m\n",
      "of both `` the maxx `` tv show and of _the caveman 's valentine_ ( not forgettin\n",
      "practical magic_ ) mesmerizing sets , _the caveman 's valentine_ is an unremitti\n",
      "d lost boys , artists and suffering . _the caveman 's valentine_ is an elegant a\n",
      " place of blue tights and red capes . _the caveman 's valentine_ is a fine and a\n",
      "rrey vehicle at that . and so it is . _the truman show_ is the most perplexing ,\n",
      "ed aesthetic he used in such films as _the silence of the lambs_ and _melvin & h\n",
      "ns like _poltergeist_ , and ends like _the color purple_ , with shades of _the s\n",
      "e _the color purple_ , with shades of _the scarlet letter_ and _little women_ so\n",
      "None\n",
      "Displaying 25 of 25 matches:\n",
      "on films as die hard , hunt for red october and basic instinct , directed by an\n",
      "ing man 's hero of the hunt for red october , it is an out-of-shape guy who doe\n",
      "iences with a booby prize . ( opens october 16 ) vampire 's is a rude , chauvin\n",
      "it comes to children 's films , and october is a dumping ground for munchkin mo\n",
      "dreamworks ' other insect film from october , `` antz . `` i hated that movie ,\n",
      "ginal , as well as the hunt for red october and predator -- all standouts for t\n",
      " ) as directed by joe johnston ( `` october sky , `` `` jumanji `` ) ( spielber\n",
      ". film editing by robert dalva ( `` october sky `` ) was presumably done by mac\n",
      "er ? not really . the film opens in october of 1969 . firefighter frank sulliva\n",
      "udience . that 's why pictures like october sky , which are a throwback to the \n",
      " satellite sputnik shoot across the october sky in 1957 , homer feels a connect\n",
      "r are soon bound for great things . october sky is a skillfully crafted film , \n",
      "it can be forgiven other missteps . october sky should be a success with audien\n",
      "films i recommend the rocketeer and october sky . a team including alexander pa\n",
      " know what you did last summer from october 1997 , and now scream 2 ) , enjoyed\n",
      "boot , the abyss , the hunt for red october , crimson tide . . . all are well r\n",
      "nds , should make you very afraid . october sky is a rare oddity in cinema : a \n",
      "ook by homer hickam , rocket boys , october sky tells the struggle of four boys\n",
      "ined to work in the mine . but , in october 1957 , an event happens that sparks\n",
      "lot that could have gone wrong with october sky . nearly every sequence flirts \n",
      " cliched . however , miraculously , october sky avoids nearly all of these pitf\n",
      "he audience . unfortunately , while october sky focuses on homer , the other th\n",
      " navigating the many obstacles that october sky manages to dodge . however , th\n",
      "diciney goodness down your throat . october sky never resorts to that level , a\n",
      "ns it all . on this unholy night on october 31 , 1978 laurie strode and her two\n",
      "None\n",
      "Displaying 25 of 25 matches:\n",
      "k associate febre ( tim roth ) , the killer of his folks . he finds the musketee\n",
      "er husband himself , is her would-be killer . siouxsie is the chromium cool , to\n",
      "nifty premise - even by tired serial killer genre standards . the big letdown , \n",
      "llow product like `` the replacement killer `` and , currently `` romeo must die\n",
      "ack to the united states a convicted killer ; he murdered to african policemen w\n",
      "s killed , he is on the track of the killer , trying to find out who it is , how\n",
      " it is , how it happened , where the killer was , and what to do . anne archer p\n",
      "e has hired snipes to track down the killer . well snipes is mistakenly framed a\n",
      "l snipes is mistakenly framed as the killer , and is now an outlaw , kidnapping \n",
      "on ( `` henry : portrait of a serial killer `` ) , `` wild things `` follows sam\n",
      "need : another lurid , trashy serial killer saga . this time , keanu reeves play\n",
      "arly on , exactly whodunit since the killer says he and the cop `` need each oth\n",
      "ve , who had to catch vicious serial killer in his very first case , does n't wa\n",
      " a hunting ground for another serial killer , and evidence indicate connection w\n",
      "more interesting , it seems that the killer deliberately stages murders in order\n",
      "ies to convince her friends that the killer is on the island ( an eerie touch is\n",
      " ! ) and release an evil spirit of a killer that kills the girls off one by one \n",
      "the from palookaville play a vicious killer named randy earl shaye who sets a fo\n",
      "cid burn ( angelina jolie ) , cereal killer ( matthew lillard ) , lord nikon ( l\n",
      "s . this season needs another serial killer movie like kathie lee gifford needs \n",
      " of the puzzle or turn out to be the killer himself . or is the villain in fact \n",
      "hen decides to explicitly reveal the killer 's identity at its midpoint , and th\n",
      " find redemption by catching a nasty killer ? is it a film about a nasty , amora\n",
      "urban legends . examples include the killer in the backseat of the car and perso\n",
      "ng calls from inside her house . the killer wears one of those l . l . bean park\n",
      "None\n",
      "Displaying 25 of 25 matches:\n",
      "macher and `` seven `` scribe andrew kevin walker 's vision of life in the snuf\n",
      ", sits down and talks with his bud , kevin dunne ( gary sinise , who 's charact\n",
      "d not be confused with that of actor kevin dunn , who 's also in this ) , and w\n",
      "t that 's only half the problem with kevin lima 's laborious film . what makes \n",
      "eries appearance . the screenplay by kevin falls and john gatins , based on a s\n",
      "erse talents as david odgen stiers , kevin mccarthy , and joe pantolinao . and \n",
      "-title and the love of her co-worker kevin bacon . her boss will only give her \n",
      " a lease on a german sportscar , and kevin bacon pnly sleeps with married or in\n",
      "ssness . in spite of game efforts by kevin bacon and matt dillon , who manage t\n",
      "ell ) . there 's the ambiguous cop ( kevin bacon , who also executive produced \n",
      "cenes that has graced this country , kevin bacon 's member makes a cameo appear\n",
      "xing match with his friend commander kevin dunne ( sinise . ) an assassination \n",
      " the big 'secret ' is out concerning kevin dunne , the film is at a dead end . \n",
      "o mit to pursue his singing career . kevin kline is a graduate of the juilliard\n",
      "a director known to have worked with kevin on five of his movies , including th\n",
      " this . i left disappointed . andrew kevin walker 's screenplay takes only the \n",
      "t creature designer ( and producer ) kevin yagher has done his best work for th\n",
      "self invisible , in `` hollow man `` kevin bacon 's character opts to commit se\n",
      "ts to commit sex crimes . er , it 's kevin bacon who plays the super smart mili\n",
      "has n't had a perfect track record . kevin smith , after a smashing debut with \n",
      " . the star ( and a co-producer ) is kevin costner . he 's playing an un-named \n",
      "s working for gloria 's ex-boyfriend kevin ( jeremy northam ) , nicky 's dad gi\n",
      "ellow floppy disk with secrets about kevin 's operation and offers him a piece \n",
      "urse . ( `` say you 're my baby , `` kevin coos demandingly . `` i 'm not gon n\n",
      "under her wing and protects him from kevin and the bad guys . think her materna\n",
      "None\n",
      "Displaying 25 of 25 matches:\n",
      "- `` batman & robin , `` `` a time to kill , `` `` batman forever , `` `` the cl\n",
      "e him , angry that they would like to kill him and sell him for millions of doll\n",
      "cognize strasser , even though he did kill her mother . this is just one of the \n",
      "moment to the next , stopping only to kill the characters which are most conveni\n",
      "ly until the good guy has a chance to kill his captor and crack a stupid one-lin\n",
      "at 's all we see him as . these lions kill dozens of his men and he does n't eve\n",
      "t at all as it should . it appears to kill men because it just likes too . why ?\n",
      "h jake again , and jake asks bobby to kill grace . a little while later , grace \n",
      "tle while later , grace asks bobby to kill jake . them murderous arizonians . go\n",
      "sting proposition : he 'll pay him to kill his lovely wife . mortensen agrees , \n",
      "tor who bought us carrie , dressed to kill and mission : impossible is back , an\n",
      "and three of her friends accidentally kill a man , running him down while drivin\n",
      "love , madeleine travels to venice to kill herself . while preparing to commit s\n",
      " remain destitute . ummm ! `` love to kill `` starts off aimlessly and gets prog\n",
      "mself , and if that means he needs to kill in order to save his own skin , so be\n",
      "p to him and the other half trying to kill him . like i said , it 's not exactly\n",
      "actly a linear storyline . `` love to kill `` should be praised for trying to do\n",
      "o that the impact of the comet wo n't kill off the entire human race . after two\n",
      " he so quickly change his previous `` kill as many indians as i can `` attitude \n",
      "s try to find a third roomie who will kill himself , since the school 's charter\n",
      "everyone believes that he 's going to kill himself ( hardy-har-har ) and the che\n",
      "e are after him with guns , trying to kill him . and in one key scene , the yell\n",
      "e jackal ( bruce willis ) , trying to kill the head of the fbi . . . or is he ? \n",
      "ck , he kidnaps rudy and threatens to kill him unless he helps rob a casino , wh\n",
      "number of chances the bad guys get to kill rudy but fail or delay for some idiot\n",
      "None\n",
      "Displaying 25 of 25 matches:\n",
      "titution 'the thief ' played by billy zane goes out in the real world and finds \n",
      "hat it 's really bad . it stars billy zane ( titanic ) as a dangerous lunatic wh\n",
      " role consists of dancing around with zane in his motel room and then being thro\n",
      "hrob really that desperate for work ? zane , meanwhile , occupies himself by mak\n",
      " ? that 's only the beginning . billy zane ( memphis belle ) played the rookie ,\n",
      "p an exciting action sequence . billy zane is wooden as the hero . kristy swanso\n",
      "ng in the movie worth noting is billy zane -- he 's a good actor , and he tries \n",
      "p here including vince vaughn , billy zane , winona ryder , christian slater , d\n",
      " dose n't love at all , cal hockley ( zane ) so her family can remain rich . she\n",
      "belous young adult is pretty smooth . zane is deliciously evil as cal , saying e\n",
      "llionaire fiancee cal hockley ( billy zane ) and the irrepressible young artist \n",
      ". the performances are the key here . zane has the meatiest part in the movie , \n",
      "unhappy with her arranged marriage to zane , but there is n't any expression of \n",
      " a rich man named cal hockley ( billy zane ) that she did n't want to marry . he\n",
      "ranged fiance ' , cal hockley ( billy zane ) . the film takes its time , and by \n",
      "she is engaged to cal hockley ( billy zane ) , an heir to old money , and a snob\n",
      "om her otherwise great acting . billy zane is cast well as the aristocratic snob\n",
      "r model . like dicaprio and winslet , zane slips comfortably into his role and p\n",
      "s role and plays it well . backing up zane is david warner as lovejoy , cal 's p\n",
      "ell worth it . charlie sheen stars as zane , a radio astronomer who listens for \n",
      " the tape and fires him . naturally , zane is not ready to give up , and he come\n",
      " the sound is coming from mexico . so zane goes down there to investigate , and \n",
      "h has dangerously risen so suddenly . zane is having marital problems at the tim\n",
      "ed with perfect snobbishness by billy zane . and thanks to a last minute winning\n",
      "nc ? e of wealthy cal hockley ( billy zane ) and daughter of ruth dewitt bukater\n",
      "None\n",
      "Displaying 23 of 23 matches:\n",
      " boss and partner in the firm , john milton ( al pacino ) is quite impressed and\n",
      "se is a dream case , given to him by milton himself ( much to the chagrin to his\n",
      "more time with her as he explains to milton that he needs to spend as much time \n",
      "ne man . that man is his boss , mr . milton , a truly evil character who just ma\n",
      "imself . kevin must somehow confront milton and thwart whatever diabolical plan \n",
      "er it was actually a dream ( perhaps milton went back in time to try a different\n",
      "ate directed by taylor hackford john milton . . . . . . . . . . . . . . . . . . \n",
      "irms in the country , headed by john milton ( al pacino ) . he is brought to the\n",
      "nyc , where he immediately impresses milton , and is subsequently offered a full\n",
      "e of money , power , and greed . but milton is far more than just a corrupt part\n",
      "after much of the film has elasped , milton 's horrifying intent is finally reve\n",
      "trial lawyer . the second focuses on milton and his ulterior motive for employin\n",
      "offman 's dorothy michaels look like milton berle . more problematic was a serie\n",
      "ually based loosely on the series of milton cartoons which aired on saturday nig\n",
      "r personality quirk . one employee , milton ( stephen root ) , is practically a \n",
      "ourt ) , the head of the firm , john milton ( al pacino ) , asks him to work per\n",
      "oing insane . all of this while john milton may or may not be the devil himself \n",
      "ll just a big nightmare ? or is john milton really satan , playing tricks with k\n",
      "tations between kevin lomax and john milton are entertaining , but what stands o\n",
      "y . in one of the last scenes , john milton explains to kevin lomax the game god\n",
      "ore humorous than frightening . what milton says is so true about our society th\n",
      " deadly sins , as chronicled by john milton in `` paradise lost `` -- gluttony ,\n",
      "a million names . . . `` ) , as john milton -- the devil . the main idea -- that\n",
      "None\n",
      "Displaying 25 of 25 matches:\n",
      "pearances from stephen collins ( star trek : the motion picture ) and faye grant\n",
      "s and klingon extras working the star trek convention circuit . travolta 's acti\n",
      " she was tasha yar from tv 's `` star trek : the next generation . `` seeing her\n",
      "ing pursuit . lacrosse 's most recent trek takes him to a blood-soaked hotel roo\n",
      "h to embarrass even the lowliest star trek ensign . second worst , and closely r\n",
      "like a klingon from the original star trek series ) appears to be orchestrating \n",
      "ers from the titles . ( even the star trek movies dropped the numbers from their\n",
      " numbers from their titles after star trek vi . ) the makers of watchers reborn \n",
      "to bore . i have never been a `` star trek `` fan , and , to tell the truth , ou\n",
      "he ninth film in the series , `` star trek : insurrection , `` is no exception .\n",
      "rent spiner ) , a robot from the star trek enterprise . after returning to jean-\n",
      "nother force . so several of the star trek members travel down to the planet of \n",
      " to only be in her thirties . `` star trek : insurrection , `` is a completely u\n",
      "climax ? another element of , `` star trek , `` films in general is that picard \n",
      "eenplay , by michael piller . `` star trek : insurrection , `` is perhaps the we\n",
      "rhaps the weakest film in the `` star trek , `` series , although i have not see\n",
      "widely considered the worst , `` star trek v : the final frontier . `` `` insurr\n",
      "omewhere between an old rerun of star trek and what you see in a home movie . th\n",
      "he pooch drags daniels on a careening trek through a city park . a little slapst\n",
      "he movie plays like a really bad star trek episode , in fact it 's worse . i do \n",
      "ow ever lives , as proven in the star trek series . creative jokes like this may\n",
      "een one of those folks who store away trek minutiae and get into debates over th\n",
      "omewhere along the line , the `` star trek `` film series began to seem more and\n",
      "ose in the latter category , and star trek : generations may be the natural conc\n",
      "nk it is an insult to fans of `` star trek `` to suggest that to a certain exten\n",
      "None\n",
      "Displaying 7 of 7 matches:\n",
      "ir lives , along with a woman named katrina ( sheryl lee ) . although the woman\n",
      "n , montoya and crow decide to keep katrina for her psychic link to the master \n",
      "niel baldwin ) , and a prostitute , katrina ( sheryl lee ) , survives an attack\n",
      "lek ( thomas ian griffith ) . since katrina was previously bitten by him , crow\n",
      "y is threatening them . cute blonde katrina and a listless orphan help crane so\n",
      "fine form as von tassel 's daughter katrina , and an unlikely romance between s\n",
      "ive . sheryl lee plays a prostitute katrina who was bitten by valek , but not y\n",
      "None\n",
      "Displaying 17 of 17 matches:\n",
      "y 's nemesis on the force ) , liev schreiber and margo martindale ( the blackma\n",
      "he age of 18 ; ted fielding ( liev schreiber ) , an astrophysicist who is awed \n",
      "ing in the credits ( ahead of liev schreiber , who boasts at least quadruple he\n",
      "chy romanctic angle involving liev schreiber as an earnest former prizefighter \n",
      "matician ; and ted fielding ( liev schreiber ) , an astrophysicist . unfortunat\n",
      "e prize fighter named misha ( liev schreiber ) , who despite being sworn to sec\n",
      "astrophysicist ted fielding ( liev schreiber ) . together they travel to the de\n",
      "ian white people ( hanna , unger , schreiber ) to get an education . lesra and \n",
      "ography . immediately thereafter , schreiber 's character tells lesra `` someti\n",
      "to call his character ( along with schreiber 's and unger 's ) a stick figure w\n",
      " 're joined by cotton weary ( liev schreiber ) , who was falsely accused of hom\n",
      " `` ( 1995 ) , cotton weary ( liev schreiber ) , now a big star , drives home t\n",
      "rquette , jamie kennedy , and liev schreiber . as stipulated by one of the `` r\n",
      "he has brought cotton weary ( liev schreiber ) , the man sidney falsely accused\n",
      "ian friends ( deborah unger , liev schreiber , john hannah ) to work with him t\n",
      "lin in `` ghostbusters `` and liev schreiber in `` the daytrippers . `` it is a\n",
      "film student . cotton weary ( liev schreiber ) , the man sidney wrongly accused\n",
      "None\n",
      "Displaying 25 of 25 matches:\n",
      " are people chasing her and we do n't know who they are . do we really need to s\n",
      "ck the power back on . little do they know the power within . . . going for the \n",
      "ll flash and no substance . we do n't know why the crew was really out in the mi\n",
      " in the middle of nowhere , we do n't know the origin of what took over the ship\n",
      "e mir ) , and , of course , we do n't know why donald sutherland is stumbling ar\n",
      "are in any jeopardy , because you 'll know they are n't . basing the show on a 1\n",
      "ed stalker not stalked . okay . so we know who the stalker is even before the mo\n",
      "i . q . over 80 ( sorry , hugh ) will know they wasted their money on an unfulfi\n",
      " for its own sake . aberdeen does n't know where else to go . weak , unimaginati\n",
      "rs go by and . . . arrgh , well , you know the rest . . . swish-swish-zzzzzzz ! \n",
      "retch , dude . . . stretch ! ! we all know that you can do much better than this\n",
      "how it works in movies like these . i know from the instant i saw that irishman \n",
      "inute action sequences , because they know the scenes have to carry the picture \n",
      "as to say that many folks who did n't know about the game probably enjoyed the m\n",
      "ng itself off as a plot . and , as we know , the movie was a smashing success at\n",
      "f you give me a couple of minutes you know i 'll charm the pants off you . `` ``\n",
      "verstone movie ever . and you already know from the last paragraph what the comp\n",
      "could have been done ( and for all we know it was ) by a ten year old , alicia i\n",
      ". in a sci-fi movie ? well , i do n't know , much of it just seemed like a bunch\n",
      "ard me say this countless times : you know how drive me crazy is going to end , \n",
      " their scripts accordingly . i do n't know what the writer 's intention was with\n",
      "y too big for that cage ! `` i do n't know if these phrases are word for word , \n",
      "eriously . this being a thriller , we know that she is , in fact , on the money \n",
      "not explained in this film , but i do know that for some bizarre reason , van da\n",
      "s . to be more clear : i did not even know who he was supposed to be until about\n",
      "None\n",
      "Displaying 25 of 25 matches:\n",
      "d a polish , it 's this one . do n't knock the look , but say what you will abo\n",
      "tain talent did n't go to waste . `` knock off `` is exactly that : a cheap kno\n",
      "ock off `` is exactly that : a cheap knock off of an action movie . it 's also \n",
      "outrageous camera angles * rule * `` knock off `` to the point where the audien\n",
      "ve n't yet made it clear enough , `` knock off `` is the worst movie of van dam\n",
      "there are no redeeming factors in `` knock off `` and i seriously hope that eve\n",
      " mindless fun . his latest film , `` knock off , `` skips on the fun part leavi\n",
      "the bizarre . every now and again `` knock off `` will deliver some truly ingen\n",
      "es n't figure in at all . perhaps `` knock off `` 's most intriguing credit is \n",
      " hitman with a mean-looking crew-cut knock off the parents . simon was able to \n",
      "ilm ! regardless of what i say about knock off , you ca n't grasp its awfulness\n",
      "n't get me wrong : i 'm not excusing knock off . it reaches an unacceptable lev\n",
      "could write an accurate synopsis for knock off . for the sake of comparison , i\n",
      "viewing . i paid closer attention to knock off , and the only thing i am able t\n",
      "ed by the cia ( i think ) of selling knock off products ( knock off products ar\n",
      "nk ) of selling knock off products ( knock off products are , of course , produ\n",
      " of them really do . in that order , knock off is completely incoherent and mak\n",
      "moved for the sake of running time . knock off seems to have an interesting pre\n",
      "n , and this is normally a problem . knock off , however , is the first film th\n",
      " as shots of the inner-workings of a knock off running shoe . but his action sc\n",
      "ternative is a frightening thought . knock off has the feel of a truly terrible\n",
      " to be fully lambasted . i recognize knock off for its irrefutable badness , bu\n",
      "ssel . once there they stroll over , knock on the door and explore the still-op\n",
      " nearby horse so it will bolt up and knock helen over ) compliment idiotic dial\n",
      "vors is so awful i feel compelled to knock on doors and warn people about it . \n",
      "None\n",
      "Displaying 6 of 6 matches:\n",
      "s always looks like he 's struggling _not_ to craft them . when he improvises a\n",
      "e commandments as a blueprint on how _not_ to do it . writer/director daniel ta\n",
      "write , because babe 2 not only does _not_ live up to the original , but it doe\n",
      "se with the audience that it is hard _not_ to care for him . so many names come\n",
      "ethora of subtle hints for truman to _not_ leave the island . credit weir for h\n",
      "in american films , these stunts are _not_ faked . drunken master ii stars seve\n",
      "None\n",
      "Displaying 25 of 25 matches:\n",
      " that allows him space to move . `` flubber `` straps him in a straitjacket , c\n",
      "lows that chance when he invents `` flubber `` ( flying rubber ) and is so exci\n",
      " herself . it 's not all bad news . flubber is a green jello that can magnify a\n",
      "without being at all entertaining . flubber is anthropomorphized into a being s\n",
      "o n't make sense . the discovery of flubber is going to save the college becaus\n",
      "ch like `` home alone 3 1/2 `` , `` flubber `` even features a couple of vapid \n",
      "est ( with the notable exception of flubber ) . so when i , the one person who \n",
      "dennis the menace , and the current flubber . vegas vacation , however , did n'\n",
      "racters run out of gas quickly . `` flubber `` is the second best example of ho\n",
      "film . hypothetically , i mean . `` flubber , `` as you probably know , is a re\n",
      "ed an erratic substance known as `` flubber , `` you know , flying rubber ? the\n",
      "moments , like a big rumba with the flubber , and some more elaborate setups , \n",
      " ( the third one ) , he invents the flubber , which not only bounces off of eve\n",
      "` magic . `` such scenes as dancing flubber , a flying car , a basketball team \n",
      "und thanks to some carefully placed flubber , and an elaborate ending all fail \n",
      "the worst film i saw last year . `` flubber `` 's probably second . what do the\n",
      "tous night that he actually creates flubber . it 's amazing that he is able to \n",
      "of mind the professor stumbles onto flubber . thankfully or there would be no m\n",
      "ny amusement for the audience . the flubber is supposed to be flying rubber , b\n",
      "or the kids . the properties of the flubber provide some antics for the audienc\n",
      "e some antics for the audience when flubber coated golfballs and bowling balls \n",
      " in this movie . giving life to the flubber , which is so poorly executed that \n",
      "ng robot weebo . giving life to the flubber would have worked beautifully if it\n",
      "enes of the sort where you have the flubber dancing around on tables and books \n",
      "ngth of the movie . the life of the flubber had brief and rather whimsical mome\n",
      "None\n",
      "Displaying 18 of 18 matches:\n",
      "loween h20 `` ) , screenwriter david kelley ( best known as the creator of tv se\n",
      " few secrets . as i mentioned before kelley and director steve minor ( h20 ) do \n",
      " , roach and screenwriters david e . kelley and sean o'byrne try to cram the ent\n",
      "t feels like four . spoiled rich kid kelley morse ( chris klein ) receives a new\n",
      " destroyed when they crash into it . kelley is sentenced to rebuild the diner , \n",
      "ee sobieski ) soon takes a liking to kelley however , despite the fact that 1 ) \n",
      "diner that was destroyed and b ) all kelley does is sit around , sulk , and smar\n",
      " so sobieski soon falls in love with kelley , especially after the day she follo\n",
      "dozens of people ) . in the speech , kelley quotes a poem by robert frost , whic\n",
      "'s best friend ) see them together . kelley continues to make an ass of himself \n",
      "aming because sam went with jasper . kelley runs off and decides to leave town .\n",
      "ya ! `` and takes off to boston with kelley . here on earth goes in so many wron\n",
      "haracters are usually in the wrong , kelley is hands down the more unlikable of \n",
      "r on the other hand , only reacts to kelley 's provocations , and afterwards com\n",
      "f the film had been structured where kelley perhaps felt some remorse after he c\n",
      "ok chain and meg ryan plays kathleen kelley , the even more insanely likeable pr\n",
      "the shop around the corner . fox and kelley soon become bitter rivals because th\n",
      "ends jackie ( bannen ) and michael ( kelley ) try to find the lottery winner ( t\n",
      "None\n",
      "Displaying 7 of 7 matches:\n",
      "pick up an angsty homicidal maniac , xavier red ( jonathan schaech , who would g\n",
      "e gets ready to kill them , but then xavier , who they ditched in the middle of \n",
      "n and amy have sex in a bath tub and xavier watches , masturbates , and then lic\n",
      "then licks the semen from his hand ; xavier and amy have sex and jordan watches \n",
      "he trio , and his arm is shot off by xavier ; and various other annoyances . als\n",
      " violence and graphic sex . how does xavier licking semen off his hand express t\n",
      "ember of the alien race , and doctor xavier finch , played by ben kingsley , is \n",
      "None\n",
      "Displaying 25 of 25 matches:\n",
      "ssin scenes , and moping around like karen carpenter in the jamaica scenes , pl\n",
      "st . but there 's nothing to learn . karen is as interesting as a cereal box , \n",
      ", he encounters some of the locals : karen ( minnie driver ) , a would-be love \n",
      " car sex with his girlfriend donna ( karen sillas ) . with a half hour ( if eve\n",
      "he real mccoy opens with bank robber karen mccoy ( kim basinger ) being arreste\n",
      " middle of a job . six years later , karen is out on parole and looking to stay\n",
      " hapless would-be thief who idolizes karen . j . t . also has ties to jack schm\n",
      " ) , the man who blew the whistle on karen six years earlier for refusing to wo\n",
      "m . schmidt , who is in cahoots with karen 's sleazy parole officer ( gailard s\n",
      "er ( gailard sartain ) , again wants karen to help him stage a robbery . this t\n",
      "y . this time he has some leverage : karen 's kidnapped son . just when she tho\n",
      "tually participate in the break-in . karen 's initial encounter with j . t . du\n",
      "e , solitary interesting character . karen is earnest and single-minded in her \n",
      "le officer is a complete blank , and karen 's son and ex-husband might as well \n",
      " film , just when his admiration for karen could have made for an interesting s\n",
      "d to overlook the little ones . like karen disarming one of schmidt 's henchmen\n",
      "g the quiet life with his girlfriend karen , played by kay lenz . however , sin\n",
      " people kersey cares for . this time karen 's teenage daughter dies of a crack \n",
      "crucifix-weapon wielding woman named karen , played in a totally wasted perform\n",
      " bank robbery film in the 90 's `` . karen mccoy ( kim basinger ) is a bank rob\n",
      "d . jake ( christopher lambert ) and karen brennick ( lori laughlin ) broke tha\n",
      "begins showing unhealthy interest in karen . after rather intriguing beginning \n",
      "henry hill to seduce his future wife karen ( played by lorraine bracco ) , who \n",
      "d , very effective and believable as karen hill , wife who gradually descends i\n",
      "n . he 's got a steady-date , katy ( karen allen ) , but she 's sick of playing\n",
      "None\n",
      "Displaying 8 of 8 matches:\n",
      "nnesota as a light-hearted caper . it _is_ his fault that he violates his own ch\n",
      " world 's great cities , and yes , it _is_ impressive . but this too is over-use\n",
      " stone is `` wonder `` . not that she _is_ a wonder , but rather that i wonder h\n",
      "eart-warming message of humanity . it _is_ a mish-mosh of poorly directed scenes\n",
      "actors a script in which their appeal _is_ the movie makes for unexpectedly awfu\n",
      "_ does n't grow tiresome ; it already _is_ once the clever opening titles are th\n",
      "emonstrate home theater systems -- it _is_ that good . even without headphones ,\n",
      "tips . as it turns out , the laserman _is_ about crime and about laser beams , b\n",
      "None\n",
      "Displaying 11 of 11 matches:\n",
      "a rental car for the ceremony in san molina , get lost and have a series of `` w\n",
      " steve buscemi , hope davis , alfred molina , campbell scott , lili taylor and t\n",
      "n angry shakespearean actor ( alfred molina ) , who is chasing them , they dress\n",
      "ing wife are jos ? sancho and angela molina -- no lookalikes spring to mind , bu\n",
      "llock ) as undercover agent isabella molina - she does n't add much to the equat\n",
      "rahad jackson ( a mesmerizing alfred molina in an unforgettable performance , ev\n",
      "ientist . forest whitaker and alfred molina are also served poorly by the script\n",
      "ayed by marg helgenberger and alfred molina . kingsley and whitaker are both con\n",
      "el madsen , forest whitaker , alfred molina , marg helgenberger , natasha henstr\n",
      "e de reynaud ( a cartoon-like alfred molina ) , who will stop at nothing to put \n",
      "n't do their share , though : alfred molina makes for a sly and utterly repugnan\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "for k in fd.most_common(20):\n",
    "    print text.concordance(k[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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    "name": "ipython",
    "version": 2
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   "mimetype": "text/x-python",
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