Movie_storyline_with_LSTM.ipynb

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     "height": 219
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    "colab_type": "code",
    "id": "G3Pl_6vMlipb",
    "outputId": "73481c1e-7b89-492b-df4a-2edace80eef8"
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   "outputs": [
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     "output_type": "stream",
     "text": [
      "--2019-10-09 12:56:17--  https://raw.githubusercontent.com/harunshimanto/AI_Lab/master/AI%20Lab/moviestoryline.csv\n",
      "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.0.133, 151.101.64.133, 151.101.128.133, ...\n",
      "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.0.133|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 2912152 (2.8M) [text/plain]\n",
      "Saving to: ‘moviestoryline.csv’\n",
      "\n",
      "\r",
      "moviestoryline.csv    0%[                    ]       0  --.-KB/s               \r",
      "moviestoryline.csv  100%[===================>]   2.78M  --.-KB/s    in 0.05s   \n",
      "\n",
      "2019-10-09 12:56:17 (51.1 MB/s) - ‘moviestoryline.csv’ saved [2912152/2912152]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!wget https://raw.githubusercontent.com/harunshimanto/AI_Lab/master/AI%20Lab/moviestoryline.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "xMesUMdzlU7B"
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   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "# Plotting Libs\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.cm as cm\n",
    "# magic function\n",
    "%matplotlib inline\n",
    "\n",
    "import collections\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd\n",
    "\n",
    "import seaborn as sns\n",
    "import nltk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "yrNiL-jplU7K"
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv('moviestoryline.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "TiEQNjaElU7S"
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   "outputs": [],
   "source": [
    "#df['cleaned_genres'] = df['genres'].str.replace(r'[\\[\\]\\'\\,|]',' ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "veoN39cFlU7X"
   },
   "outputs": [],
   "source": [
    "df.drop('Unnamed: 0',1,inplace=True)"
   ]
  },
  {
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   "execution_count": 4,
   "metadata": {
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     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genres</th>\n",
       "      <th>storyline</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Action|Adventure|Fantasy|Sci-Fi</td>\n",
       "      <td>When his brother is killed in a robbery, parap...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Action|Adventure|Fantasy</td>\n",
       "      <td>After Elizabeth, Will, and Captain Barbossa re...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Action|Adventure|Thriller</td>\n",
       "      <td>A cryptic message from the past sends James Bo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Action|Thriller</td>\n",
       "      <td>Despite his tarnished reputation after the eve...</td>\n",
       "    </tr>\n",
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       "      <th>4</th>\n",
       "      <td>Documentary</td>\n",
       "      <td>NaN</td>\n",
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       "                            genres  \\\n",
       "0  Action|Adventure|Fantasy|Sci-Fi   \n",
       "1         Action|Adventure|Fantasy   \n",
       "2        Action|Adventure|Thriller   \n",
       "3                  Action|Thriller   \n",
       "4                      Documentary   \n",
       "\n",
       "                                           storyline  \n",
       "0  When his brother is killed in a robbery, parap...  \n",
       "1  After Elizabeth, Will, and Captain Barbossa re...  \n",
       "2  A cryptic message from the past sends James Bo...  \n",
       "3  Despite his tarnished reputation after the eve...  \n",
       "4                                                NaN  "
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   "source": [
    "df.head()"
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   "execution_count": 5,
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     "data": {
      "text/plain": [
       "12-year-old orphan Peter is spirited away to the magical world of Neverland, where he finds both fun and danger, and ultimately discovers his destiny -- to become the hero who will be forever known as Peter Pan.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           3\n",
       "When Oh, a loveable misfit from another planet, lands on Earth and finds himself on the run from his own people, he forms an unlikely friendship with an adventurous girl named Tip who is on a quest of her own. Through a series of comic adventures with Tip, Oh comes to understand that being different and making mistakes is all part of being human. And while he changes her planet and she changes his world, they discover the true meaning of the word HOME.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      3\n",
       "Judah Ben-Hur, a prince falsely accused of treason by his adopted brother, an officer in the Roman army, returns to his homeland after years at sea to seek revenge, but finds redemption.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    3\n",
       "Carl Denham needs to finish his movie and has the perfect location; Skull Island. But he still needs to find a leading lady. This 'soon-to-be-unfortunate' soul is Ann Darrow. No one knows what they will encounter on this island and why it is so mysterious, but once they reach it, they will soon find out. Living on this hidden island is a giant gorilla and this beast now has Ann is its grasps. Carl and Ann's new love, Jack Driscoll must travel through the jungle looking for Kong and Ann, whilst avoiding all sorts of creatures and beasts. But Carl has another plan in mind.                                                                                                                                                                                                                                                                                                                                                                                                                                             3\n",
       "Los Angeles street racer Dominic Toretto falls under the suspicion of the LAPD as a string of high-speed electronics truck robberies rocks the area. Brian O'Connor, an officer of the LAPD, joins the ranks of Toretto's highly skilled racing crew undercover to convict Toretto. However, O'Connor finds himself both enamored with this new world and in love with Toretto's sister, Mia. As a rival racing crew gains strength, O'Connor must decide where his loyalty really lies.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      3\n",
       "James McAvoy and Daniel Radcliffe star in a dynamic and thrilling twist on a legendary tale. Radical scientist Victor Frankenstein (McAvoy) and his equally brilliant protégé Igor Strausman (Radcliffe) share a noble vision of aiding humanity through their groundbreaking research into immortality. But Victor's experiments go too far, and his obsession has horrifying consequences. Only Igor can bring his friend back from the brink of madness and save him from his monstrous creation.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          3\n",
       "The year is 1963, the night: Halloween. Police are called to 43 Lampkin Ln. only to discover that 15 year old Judith Myers has been stabbed to death, by her 6 year-old brother, Michael. After being institutionalized for 15 years, Myers breaks out on the night before Halloween. No one knows, nor wants to find out, what will happen on October 31st 1978 besides Myers' psychiatrist, Dr. Loomis. He knows Michael is coming back to Haddonfield, but by the time the town realizes it, it'll be too late for many people.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            3\n",
       "Simon and Robyn are a young married couple whose life is going just as planned until a chance encounter with an acquaintance from Simon's high school sends their world into a harrowing tailspin. Simon doesn't recognize Gordo at first, but after a series of uninvited encounters and mysterious gifts prove troubling, a horrifying secret from the past is uncovered after more than 20 years. As Robyn learns the unsettling truth about what happened between Simon and Gordo, she starts to question: how well do we really know the people closest to us, and are past bygones ever really bygones?                                                                                                                                                                                                                                                                                                                                                                                                                                 2\n",
       "In an airport waiting room, a man in a wheelchair tells a stranger a story about a fixed horse race in 1979 that resulted in a family's deaths. In Manhattan, two bookies and the son of a Mob boss die. A young man just out of the shower answers the door to a neighbor woman and explains that he's visiting, has had a bad week, including being mugged, and doesn't know where his pal, who lives there, is. The neighbor is chatty; she's a coroner. Two thugs arrive and, believing the visitor to be the guy who lives there, take him to see the boss with the dead son, who tells him to kill the son of his Mob rival. Mistaken identity? What connects the threads? Cops are watching.                                                                                                                                                                                                                                                                                                                                           2\n",
       "FANTASTIC FOUR, a contemporary re-imagining of Marvel's original and longest-running superhero team, centers on four young outsiders who teleport to an alternate and dangerous universe, which alters their physical form in shocking ways. Their lives irrevocably upended, the team must learn to harness their daunting new abilities and work together to save Earth from a former friend turned enemy.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  2\n",
       "Detective Hazel Micallef hasn't had much to worry about in the sleepy town of Fort Dundas until a string of gruesome murders in the surrounding countryside brings her face to face with a serial killer driven by a higher calling.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          2\n",
       "This is a series of ten shorts created for Polish Television, with plots loosely based upon the Ten Commandments, directed by Krzysztof Kieslowski. Two of these, Dekalog 5 and 6, are shorter cuts from the feature-length films--Krotki film o zabijaniu (A Short Film About Killing) and Krotki film o milosci (A Short Film About Love), respectively. They deal with the emotional turmoil suffered by humanity, when instinctual acts and societal morality conflict.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   2\n",
       "Ana goes home to her peaceful suburban residence, but she is unpleasantly surprised the morning that follows when her husband is brutally attacked by her zombified neighbor. In the chaos of her once picturesque neighborhood, Ana flees and stumbles upon a police officer named Kenneth, along with more survivors who decide that their best chances of survival would be found in the deserted Crossroads Shopping Mall. When supplies begin running low and other trapped survivors need help, the group comes to the realization that they cannot stay put forever at the Shopping Mall, and devise a plan to escape.                                                                                                                                                                                                                                                                                                                                                                                                                 2\n",
       "Across The Universe is a fictional love story set in the 1960s amid the turbulent years of anti-war protest, the struggle for free speech and civil rights, mind exploration and rock and roll. At once gritty, whimsical and highly theatrical, the story moves from high schools and universities in Massachusetts, Princeton and Ohio to the Lower East Side of Manhattan, the Detroit riots, Vietnam and the dockyards of Liverpool. A combination of live action and animation, the film is paired with many songs by The Beatles that defined the time.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 2\n",
       "From the dawn of man to the distant future, mankind's evolution (or lack thereof) is traced. Often ridiculous but never serious, we learn the truth behind the Roman Emperor, we learn what REALLY happened at the Last Supper, the circumstances that surrounded the French Revolution, how to test eunuchs, and what kind of shoes the Spanish Inquisitor wore.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             2\n",
       "An unknown accident occurs in Tokyo Bay's Aqua Line, which causes an emergency cabinet to assemble. All of the sudden, a giant creature immediately appears, destroying town after town with its landing reaching the capital. This mysterious giant monster is named \"Godzilla\".                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             2\n",
       "Sam Flynn, the tech-savvy 27-year-old son of Kevin Flynn, looks into his father's disappearance and finds himself pulled into the same world of fierce programs and gladiatorial games where his father has been living for 20 years. Along with Kevin's loyal confidant Quorra, father and son embark on a life-and-death journey across a visually-stunning cyber universe that has become far more advanced and exceedingly dangerous. Meanwhile, the malevolent program CLU, who dominates the digital world, plans to invade the real world and will stop at nothing to prevent their escape.                                                                                                                                                                                                                                                                                                                                                                                                                                            2\n",
       "Michael Myers is still at large and no less dangerous than ever. After a failed reunion to reach his baby sister at their old home, Laurie Strode is immediately taken to a hospital to be treated by the wounds that had been afflicted by her brother a few hours ago. However, Michael isn't too far off and will continue his murdering 'Halloween' rampage until he gets his sister all to himself.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      2\n",
       "Matthew, a young advertising executive in Chicago, puts his life and a business trip to China on hold when he thinks he sees Lisa, the love of his life who walked out on him without a word two years earlier, walking out of a restaurant one day. With a little help from his friend Luke, Matthew obsessively and relentlessly tracks Lisa down and while doing so, runs into another young woman calling herself Lisa whom, unknown to Matthew, is an actress named Alex and may hold the key to Lisa's disappearance, and discovery.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    2\n",
       "When their attempt to rob a casino owned by the feared gangster Pope goes awry and a shootout ensues, Vaughn and Cox are forced to flee on foot and hijack city Bus 657 and take the passengers hostage.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      2\n",
       "While being transported by two detectives in a car, the dangerous criminal Krug is rescued by his brother Francis and his girlfriend Sadie, and they brutally kill the detectives. Meanwhile Emma, her husband John, and their daughter Mari Collingwood head to their summer home near the lake. Mari borrows the family car to meet her friend Paige that is working in a store in the town. While in the store, they befriend a teen boy named Justin, who offers some marijuana to Paige in the motel where he is lodged. While they are smoking marijuana in Justin's room, Krug, Francis, and Sadie arrive and abduct the girls. Krug drives Mari's car and she causes them to crash into a tree. Krug stabs Paige and rapes Mari; however Mari manages to escape, swimming in the lake, but Krug shoots her in the back. They walk through the isolated road in the woods and they reach Collingwood's house telling that they have just had a car accident. Emma and John welcome the strangers until they discover what has ...      2\n",
       "Historical drama detailing the 1835-36 Texas revolution before, during, and after the famous siege of the Alamo (February 23-March 6, 1836) where 183 Texans (American-born Texans) and Tejanos (Mexican-born Texans) commanded by Colonel Travis, along with Davey Crockett and Jim Bowie, were besieged in an abandoned mission outside San Antonio by a Mexican army of nearly 2,000 men under the personal command of the dictator of Mexico, General Santa Anna, as well as detailing the Battle of San Jacinto (April 21, 1836) where General Sam Houston's rag-tag army of Texans took on and defeated Santa Anna's army which led to the indepedence of Texas.                                                                                                                                                                                                                                                                                                                                                                        2\n",
       "A small group of survivors are left behind after millions of people suddenly vanish and the world is plunged into chaos and destruction.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      2\n",
       "Daniel and his mother move from New Jersey to California. She has a wonderful new job, but Daniel quickly discovers that a dark haired Italian boy with a Jersey accent doesn't fit into the blond surfer crowd. Daniel manages to talk his way out of some fights, but he is finally cornered by several who belong to the same karate school. As Daniel is passing out from the beating he sees Miyagi, the elderly gardener leaps into the fray and save him by outfighting half a dozen teenagers. Miyagi and Daniel soon find out the real motivator behind the boys' violent attitude in the form of their karate teacher. Miyagi promises to teach Daniel karate and arranges a fight at the all-valley tournament some months off. When his training begins, Daniel doesn't understand what he is being shown. Miyagi seems more interested in having Daniel paint fences and wax cars than teaching him Karate.                                                                                                                      2\n",
       "Hamlet, son of the king of Denmark, is summoned home for his father's funeral and his mother's wedding to his uncle. In a supernatural episode, he discovers that his uncle, whom he hates anyway, murdered his father. In an incredibly convoluted plot--the most complicated and most interesting in all literature--he manages to (impossible to put this in exact order) feign (or perhaps not to feign) madness, murder the \"prime minister,\" love and then unlove an innocent whom he drives to madness, plot and then unplot against the uncle, direct a play within a play, successfully conspire against the lives of two well-meaning friends, and finally take his revenge on the uncle, but only at the cost of almost every life on stage, including his own and his mother's.                                                                                                                                                                                                                                                   2\n",
       "The final Twilight Saga begins with Bella now a vampire learning to use her abilities. And happy to see her daughter, Renesmee is flourishing. But when someone sees Renesmee do something that makes them think that she was turned. This person goes to the Volturi, because it is a violation to turn a child. And the penalty is death for both who turned the child into a vampire and the child, cause they deem a turned child too dangerous. Alice gets a vision of the Volturi coming after them. So the Cullens try to convince them that Renesmee is not a threat. So they ask friends and family to come stand with them. But when someone who has it in for the Volturi shows up and tells them they should be ready for a fight. And they get ready.                                                                                                                                                                                                                                                                            2\n",
       "Six unemployed steel workers, inspired by the Chippendale's dancers, form a male striptease act. The women cheer them on to go for \"the full monty\" - total nudity.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           2\n",
       "Peter Parker has finally managed to piece together the once-broken parts of his life, maintaining a balance between his relationship with Mary-Jane and his responsibility as Spider-Man. But more challenges arise for our young hero. Peter's old friend Harry Obsourne has set out for revenge against Peter; taking up the mantle of his late father's persona as The New Goblin, and Peter must also capture Uncle Ben's real killer, Flint Marko, who has been transformed into his toughest foe yet, the Sandman. All hope seems lost when suddenly Peter's suit turns jet-black and greatly amplifies his powers. But it also begins to greatly amplify the much darker qualities of Peter's personality that he begins to lose himself to. Peter has to reach deep inside himself to free the compassionate hero he used to be if he is to ever conquer the darkness within and face not only his greatest enemies, but also...himself.                                                                                              2\n",
       "While babysitting a boy and his baby brother, Casey Beldon has a dreadful nightmare involving a weird dog and an evil child, and she tells her best friend Romy over the phone. Casey is haunted by this boy, and when she goes to the ophthalmologist, he asks if she has a twin brother or sister. She asks her father and discovers that her mother lost a son that died in the womb. Casey suspects that she is haunted by the spirit of her brother. She finds a letter addressed to a woman called Sofi Kozma and a creepy picture at home that belonged to her mother. She goes with Romy to a retirement home to meet Sofi, a survivor of the experiments during the Holocaust. But Sofi tells Casey that she had never met her mother and later calls Casey to tell her she is in great danger.                                                                                                                                                                                                                                      2\n",
       "Shaw was an officer in the Federal Army during the American Civil War who volunteered to lead the first company of black soldiers. Shaw was forced to deal with the prejudices of both the enemy (who had orders to kill commanding officers of blacks), and of his own fellow officers.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      2\n",
       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             ..\n",
       "When Berke Landers, a popular high school basketball star, gets dumped by his life-long girlfriend, Allison, he soon begins to lose it. But with the help of his best friend Felix's sister Kelly, he follows his ex into the school's spring musical. Thus endues a love triangle loosely based upon Shakespeare's \"A Midsummer Night's Dream\", where Berke is only to find himself getting over Allison and beginning to fall for Kelly.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    1\n",
       "It's the ultimate buddy cop movie except for one thing: they're not cops. When two struggling pals dress as police officers for a costume party, they become neighborhood sensations. But when these newly-minted \"heroes\" get tangled in a real life web of mobsters and dirty detectives, they must put their fake badges on the line.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      1\n",
       "In Philadelphia, Detective Bowden is still grieving for his wife and son, killed in a hit-and-run five years ago. When someone jumps from a skyscraper onto a truck, Bowden is sent to investigate. Meanwhile, five strangers are trapped in an elevator in the building where the jumper committed suicide. The communication radio in the elevator is broken but the guards, Lustig and Ramirez, observe the individuals via CCTV as events unfold. Tensions run high among those trapped, so Lustig calls the police and Detective Bowden assumes the case. Without being able to contact the individuals, he tries to work out who they are, but he can only account for four of them. Time is running out for the occupants of the elevator, as Bowden realizes he has to get them out quickly.                                                                                                                                                                                                                                          1\n",
       "Dray is a young playboy whose only objective in life seems to be to have sex with as many girls as he can without getting caught by his girlfriend Lisa. Dray's sister Jenny and her friend Katrina plan to show him that the way he lives is wrong and organize a party in Malibu, inviting all of his girlfriends.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          1\n",
       "A vicious killer named Fung goes around Hong Kong killing top martial arts exponents and leaving a secret weapon called the Moonshadow as his calling card. When a convicted killer and kung fu expert named Ha - formerly working as a martial arts instructor before accidentally killing a man and being imprisoned and convicted for the crime he didn't intend to do - hears of this, he offers to help the police catch the killer in return for his freedom. With Ha's help, the police realize from the chronological order of the victims that the killer is targeting his victims, all top masters in their respective martial arts style, and following a martial code of training. After a close encounter with Fung, Ha suddenly disappears and the police begin to suspect the worse: that the two are accomplices and Fung was the bait to help spring Ha from jail. But Ha has actually gone back to his home in Foshan to find out more about the mysterious calling card. While doing so, he discovers the killer's ...     1\n",
       "In the 30's, in New York, the coffin of the leftist gangster Johnny Tempio is brought to the house of his older brother Ray for the wake of family and friends. Ray is a cold gangster that likes to read and is married to Jean. His brother Chez is a hot head that runs a bar and is married to Clara . Ray decides to revenge the murder of his younger brother and believes the gangster Gaspare is the one who killed Johnny. Meanwhile Chez has a breakdown with tragic consequences for the Tempio brothers.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          1\n",
       "A sketch comedy movie about the joys and embarrassments of teen sex. But mostly the embarrassments.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           1\n",
       "A single mother in Paris, Bernadette tried hard to give her daughters everything. She is thrilled when her eldest, Elza, the first college graduate in the family, completes her master's degree. However, Elza breaks her mother's heart by running away to their native Guadeloupe in search of a distant childhood memory: the father she barely remembers. This feature debut by writer/director Mariette Monpierre offers an unusual insider's view of lush island culture as she captures the passion and contradictions of this family.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                1\n",
       "When Waring Hudsucker, head of hugely successful Hudsucker Industries, commits suicide, his board of directors, led by Sidney Mussberger, comes up with a brilliant plan to make a lot of money: appoint a moron to run the company. When the stock falls low enough, Sidney and friends can buy it up for pennies on the dollar, take over the company, and restore its fortunes. They choose idealistic Norville Barnes, who just started in the mail room. Norville is whacky enough to drive any company to ruin, but soon, tough reporter Amy Archer smells a rat and begins an undercover investigation of Hudsucker Industries.                                                                                                                                                                                                                                                                                                                                                                                                        1\n",
       "After the death of 11 climbers, Austrian Heinrich Harrer (Brad Pitt) decides to add glory to his country and to the Austrian pride by climbing Nanga Parbat in British India, and leaves his expectant wife behind. An egoist and a loner, he does not get along with others on his team - but must bend to their wishes after bad weather threatens them. Then WWII breaks out, they are arrested and lodged in Dehra Dun's P.O.W. Camp. He attempts to break out several times in vain, but finally does succeed along with Peter Aufschnaiter (David Thewlis), and they end up in the holy city of Lhasa - a place banned to foreigners. They are provided food and shelter, and Peter ends up marrying a tailor, Pema Lhaki, while Heinrich befriends the Dalai Lama. They meet regularly; while he satiates the child's curiosity about the world, including Jack the Ripper and 'yellow hair'; he is exposed to the teachings of Lord Buddha, He even constructs a movie theater, while getting news of the end of the war, his ...     1\n",
       "A senior at an elite college, already under severe pressure to complete her thesis and land a prestigious job, must confront the sudden reappearance of her old boyfriend, after his two-year, unexplained absence.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           1\n",
       "Ken Castle is extremely rich, popular and powerful since he invented and started exploiting the virtual online parallel reality games, in which people can either pay as user or be paid as 'actor' in a system of mind-control. The ultimate version, Slayers, fields death row convicts as gladiators in a desperate dim bid for survival, which no-one made yet. The champion, John 'Kable' Tillman, was scheduled to die just before he'ld gain release, but he persuades his teenage 'handler' to hand over the reins so he can fully use his talents and experience. Thus Kable escapes to freedom, only to be chased illegally by Castle's men, yet fights back all the way to his HQ and challenges his evil hidden plans.                                                                                                                                                                                                                                                                                                            1\n",
       "This is the story of Melvin, the Tromaville Health Club mop boy, who inadvertently and naively trusts the hedonistic, contemptuous and vain health club members, to the point of accidentally ending up in a vat of toxic waste. The devastating results then have a transmogrification effect, his alter ego is released, and the Toxic Avenger is born, to deadly and comical results. The local mop boy is now the local Superhero, the saviour of corruption, thuggish bullies and indifference. Troma classic with good make-up effects and stunts, a pleasant surprise indeed.                                                                                                                                                                                                                                                                                                                                                                                                                                                          1\n",
       "After eight years serving the U.S. Army Special Forces, Sergeant Chris Vaughn returns to his hometown seeking for a job in the local mill. He is informed by Sheriff Stan Watkins that the mill was closed three years ago and now the Wild Cherry Casino, owned by his former high school friend Jay Hamilton, is the major source of jobs and income to the town. Chris goes home, and meets his best-friend Ray Templeton, who organized a football game with their friends. After the game, Jay invites Chris and his friends to spend the night in his casino on him, but when Chris finds that the casino crabs dealer is cheating with loaded dice, he fights against the security men and is almost killed by them. When his nephew Pete overdosed on crystal meth sold by the security men at the casino, Chris realizes that the town is dominated by the mobsters and the corrupt sheriff and with a huge piece of wood, he breaks the casino and the criminals. He is prosecuted and in the trial, he promises to the jury ...    1\n",
       "An ecological drama/documentary, filmed throughout the globe. Part thriller, part meditation on the vanishing wonders of the sub-aquatic world.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               1\n",
       "A fictional film set in the alluring world of one of the most stunning scandals to rock our nation, American Hustle tells the story of brilliant con man Irving Rosenfeld (Christian Bale), who along with his equally cunning and seductive British partner Sydney Prosser (Amy Adams) is forced to work for a wild FBI agent Richie DiMaso (Bradley Cooper). DiMaso pushes them into a world of Jersey powerbrokers and mafia that's as dangerous as it is enchanting. Jeremy Renner is Carmine Polito, the passionate, volatile, New Jersey political operator caught between the con-artists and Feds. Irving's unpredictable wife Rosalyn (Jennifer Lawrence) could be the one to pull the thread that brings the entire world crashing down.                                                                                                                                                                                                                                                                                            1\n",
       "This light-hearted romantic comedy centers tells of love sought, found, lost, and found again, revolving around the lives of two college students in New York City. Sophomore Al Connelly meets the girl of his dreams, freshman Imogen, and true love abounds. The two engage on a whirlwind courtship--they pick a song, eat a cake together, even make love. But Imogen's fear of lost youth causes her to push away from Al, and they go their separate ways. Al attempts to rebound from the relationship, determined to forget Imogen, and he goes to desperate measures to do so. The story is told from the points of view of both Al and Imogen.                                                                                                                                                                                                                                                                                                                                                                                     1\n",
       "When two unemployed telephone pranksters decide to use their vocal \"talents\" to impersonate a Chicago mob boss and curry favor with organized crime in New York, the trouble begins. It isn't long before Johnny and Kamal (the \"Jerky Boys\" of crank call fame) are wanted by the local mafia, the police, and their neighbor.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               1\n",
       "When the Boston Globe's tenacious \"Spotlight\" team of reporters delves into allegations of abuse in the Catholic Church, their year-long investigation uncovers a decades-long cover-up at the highest levels of Boston's religious, legal, and government establishment, touching off a wave of revelations around the world.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                1\n",
       "In 1968, the Ford auto factory in Dagenham was one of the largest single private employers in the United Kingdom. In addition to the thousands of male employees, there are also 187 underpaid women machinists who primarily assemble the car seat upholstery in poor working conditions. Dissatisfied, the women, represented by the shop steward and Rita O'Grady, work with union rep Albert Passingham for a better deal. However, Rita learns that there is a larger issue in this dispute considering that women are paid an appalling fraction of the men's wages for the same work across the board on the sole basis of their sex. Refusing to tolerate this inequality any longer, O'Grady leads a strike by her fellow machinists for equal pay for equal work. What follows would test the patience of all involved in a grinding labour and political struggle that ultimately would advance the cause of women's rights around the world.                                                                                      1\n",
       "Charly is an adult male with a cognitive disability struggling to survive in the modern world. His frequent attempts at learning, reading, and writing prove difficult. His teacher, Miss Kinian, takes Charly to the clinic where he is observed by doctors who have Charly \"race\" a mouse, Algernon. Algernon is usually the winner thanks to an experiment that greatly raised his intelligence. This experiment is given to Charly, who at first does not seem affected. However, he becomes more logically advanced, eventually becoming a pure genius. Emotional and intra-personal consequences are involved when Charly learns the truth of the experiment, and struggles with whether or not the procedure was a good idea.                                                                                                                                                                                                                                                                                                          1\n",
       "Michael O'Hara, against his better judgement, hires on as a crew member of Arthur Bannister's yacht, sailing to San Francisco. They pick up Grisby, Bannister's law partner, en route. Bannister has a wife, Rosalie, who seems to like Michael much better than she likes her husband. After they dock in Sausalito, Michael goes along with Grisby's weird plan to fake his (Grisby's) murder so he can disappear untailed. He wants the $5000 Grisby has offered, so he can run off with Rosalie. But Grisby turns up actually murdered, and Michael gets blamed for it. Somebody set him up, but it is not clear who or how. Bannister (the actual murderer?) defends Michael in court.                                                                                                                                                                                                                                                                                                                                                   1\n",
       "Harold Lee and Kumar Patel are two stoners who end up getting the munchies. What they crave the most after seeing a TV advertisement, is a trip to White Castle. So from here, follows a journey for the burgers they require. On their way they will encounter many obstacles including a raccoon, a racist officer, and a horny Neil Patrick Harris.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        1\n",
       "In a dystopian future, two rival gangs fight for control of Frazier Park which for all intents purposes is the remaining inhabited world. Gangs settle disputes for leadership by playing \"Beat Beat Revelation\", a deadly version of a popular dance video game. The power of the land has shifted leaving the local alcoholics to become meth addicts and worse. Can JTRO overcome the obstacles necessary to redeem Frazier Park? Competitive dance-fight video game \"Beat-Beat Revolution.\"                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               1\n",
       "The movie opens in Lahore of 1947 before India and Pakistan became independent. It is a cosmopolitan city, depicted by the coterie of working class friends who are from different religions. The rest of the movie chronicles the fate of this group and the maddening religious that sweeps even this city as the partition of the two countries is decided and Lahore is given to Pakistan.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                1\n",
       "Deke DaSilva and Matthew Fox are two New York City cops who get transferred to an elite anti-terrorism squad. About this same time, an infamous international terrorist shows up in New York City looking to cause some chaos. It's up to DaSilva and Fox to stop him, but will they be in time...?                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           1\n",
       "Something unspeakably chilling is ultimately starting to heat up at The City of Los Angeles! Beneath the famed La Brea Tar Pits, a raging volcano has formed, raining a storm of deadly fire bombs and an endless tide of white-hot lava upon the stunned city!                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               1\n",
       "An ordinary man with an ordinary life joins a mysterious club. The membership lasts for one year only and there is one rule: no cancellation under any circumstance. The man enters into a whole new exciting world he never before experienced where crazy love goes wilder and crazier. Is it an illusion or is it real? Welcome to the world no one has dared to explore until now!                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        1\n",
       "Cloverfield follows five New Yorkers from the perspective of a hand-held video camera. The movie is exactly the length of a DV Tape and a sub-plot is established by showing bits and pieces of video previously recorded on the tape that is being recorded over. The movie starts as a monster of unknown origin destroys a building. As they go to investigate, parts of the building and the head of the Statue of Liberty come raining down. The movie follows their adventure trying to escape and save a friend, a love interest of the main character.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                1\n",
       "Based on the true story of Leigh Anne Tuohy and Sean Tuohy who take in a homeless teenage African-American, Michael Oher. Michael has no idea who his father is and his mother is a drug addict. Michael has had little formal education and few skills to help him learn. Leigh Anne soon takes charge however, as is her nature, ensuring that the young man has every opportunity to succeed. When he expresses an interest in football, she goes all out to help him, including giving the coach a few ideas on how best to use Michael's skills. They not only provide him with a loving home, but hire a tutor to help him improve his grades to the point where he would qualify for an NCAA Division I athletic scholarship. Michael Oher was the first-round pick of the Baltimore Ravens in the 2009 NFL draft.                                                                                                                                                                                                                     1\n",
       "Name: storyline, Length: 4914, dtype: int64"
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    "df.storyline.value_counts()"
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    "colab_type": "code",
    "id": "4O7xrisnlU7p",
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       "The four and 1/4 hour depiction of the historical and personal events surrounding and including the decisive American civil war battle features thousands of civil war re-enactors marching over the exact ground that the federal army and the army of North Virginia fought on. The defense of the Little Round Top and Pickett's Charge are highlighted in the actual three day battle which is surrounded by the speeches of the commanding officers and the personal reflections of the fighting men. Based upon the novel 'The Killer Angels'.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          1\n",
       "Rosalee Futch is a grocery clerk living in rural West Virginia. But even a small-town girl can have big dreams, and Rosalee's is to someday--somehow--meet her big-screen idol Tad Hamilton. The somehow arrives in the form of a contest--the grand prize: a date with Tad Hamilton--and the someday is now. Rosalee wins, much to the chagrin of her best friend and co-worker Pete, who is deeply, hopelessly--and secretly--in love with Rosalee. The Win a Date contest was cooked up by Tad's agent, Richard Levy, and his manager, also named Richard Levy, to clean up Tad's bad-boy image. Someone should have told them to be careful what you wish for. When Tad meets Rosalee and gets a taste of what he's been missing in the real world, he decides he wants seconds and moves to West Virginia, turning Rosalee's dream come true into a nightmare for Richard Levy, Richard Levy and, most of all, Pete.                                                                                                                     1\n",
       "This one-hour weekly docu-soap from the creator/executive producer of \"American Chopper\" follows a group of real-life paranormal researchers as they investigate haunted houses throughout the country, encountering every type of imaginable haunting. Jason Hawes and Grant Wilson, plumbers by trade, head up TAPS -- The Atlantic Paranormal Society -- a group of ordinary, everyday people with an interest in getting to the bottom of your otherworldly disturbances.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 1\n",
       "A newlywed develops a strange lump on his neck that gives him the ability to transform people or objects at will. His wife is very upset. Meanwhile, the CEO of Smilecorp learns of this man and his ability and sees a way to achieve world domination if only the man can be taken alive.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   1\n",
       "Disgraced ex-England captain (Danny 'Mean Machine' Meehan) is thrown in jail for assaulting two police officers. Whilst in jail, he doesn't recieve any favours because of his celebrity status in the outside world. He is out numbered and many prisoners constantly barrage him with insults for letting down his country in a crucial World Cup game. He keeps his head down and has the opportunity to forget everything and change the lives of the prisoners. These prisoners have the chance to put one over the evil guards. The prisoners are lead by Danny and the whole of the prison, guards aside, are behind them. Game on......                                                                                                                                                                                                                                                                                                                                                                                               1\n",
       "In the cold war, a lawyer, James B. Donovan is recruited by the CIA and involved in an intense negotiation mission to release and exchange a CIA U-2 spy-plane pilot, Francis G. Powers. The pilot was arrested alive after his plane was shot down by the Soviet Union during a mission and stays in the company of a KGB intelligence officer, Rudolf Abel, who was arrested for espionage in the US.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       1\n",
       "Tuesday, June 4, 1968: the California presidential primary. As day breaks Robert F. Kennedy arrives at the Ambassador Hotel; he'll campaign, then speak to supporters at midnight. To capture the texture of the late 1960s, we see vignettes at the hotel: a couple marries so he can avoid Vietnam, kitchen staff discuss race and baseball, a man cheats on his wife, another is fired for racism, a retired hotel doorman plays chess in the lobby with an old friend, a campaign strategist's wife needs a pair of black shoes, two campaign staff trip on LSD, a lounge singer is on the downhill slide. Through it all, we see and hear RFK calling for a better society and a better nation.                                                                                                                                                                                                                                                                                                                                          1\n",
       "A naive, bumbling veterinarian named Corky Romano the outcast son if a Mafia boss, is recruited by his family to infiltrate the FBI and steal any and all evidence that will put his cranky father named Francis A. \"Pops\" Romano in jail! But he's in way over his head when he's made out to be a super agent. It's a reputation must live up to as he tries to fake his way through one tough assignment after another while hunting for the elusive incriminating proof of his father's illegal activities.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               1\n",
       "On a rainy London night in 1946, novelist Maurice Bendrix has a chance meeting with Henry Miles, husband of his ex-mistress Sarah, who abruptly ended their affair two years before. Bendrix's obsession with Sarah is rekindled; he succumbs to his own jealousy and arranges to have her followed.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          1\n",
       "East Germany, the year 1989: A young man protests against the regime. His mother watches the police arresting him and suffers a heart attack and falls into a coma. Some months later, the GDR does not exist anymore and the mother awakes. Since she has to avoid every excitement, the son tries to set up the GDR again for her in their flat. But the world has changed a lot.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           1\n",
       "Wreck-It Ralph longs to be as beloved as his game's perfect Good Guy, Fix-It Felix. Problem is, nobody loves a Bad Guy. But they do love heroes... so when a modern, first-person shooter game arrives featuring tough-as-nails Sergeant Calhoun, Ralph sees it as his ticket to heroism and happiness. He sneaks into the game with a simple plan -- win a medal -- but soon wrecks everything, and accidentally unleashes a deadly enemy that threatens every game in the arcade. Ralph's only hope? Vanellope von Schweetz, a young troublemaking \"glitch\" from a candy-coated cart racing game who might just be the one to teach Ralph what it means to be a Good Guy. But will he realize he is good enough to become a hero before it's \"Game Over\" for the entire arcade?                                                                                                                                                                                                                                                             1\n",
       "At 16, Nick Twisp is wry about his teen funk: he lives in Oakland with his sex-addled mother; his father's child support is her meal ticket. While camping in Ukiah, Nick meets Sheeni: for him, it's love at first sight. Nick has to figure out how to get his father a job in Ukiah, then how to get sent to live with his father, then how to get close to Sheeni, whose religious parents may want her sent away from temptation to a boarding school. There's also Sheeni's all-American boyfriend to contend with. Overwhelmed by the challenges, Nick's about to give up when he conjures an alter ego who whispers revolt into his ear. Nick is not altogether hapless, but can this end well?                                                                                                                                                                                                                                                                                                                                       1\n",
       "To be a Pet Detective, you have to understand both the criminals and animals. Ace Ventura goes even further... He behaves like a criminal animal. When a football team's mascot (a dolphin) is stolen just before the Superbowl, Ace Ventura is put on the case. Now, who would want to steal a dolphin, and why?                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             1\n",
       "Norma and Arthur Lewis, a suburban couple with a young child, receive a simple wooden box as a gift, which bears fatal and irrevocable consequences. A mysterious stranger delivers the message that the box promises to bestow upon its owner $1 million with the press of a button. However, pressing this button will simultaneously cause the death of another human being somewhere in the world, someone they don't know. With just 24 hours to have the box in their possession, Norma and Arthur find themselves in the cross-hairs of a startling moral dilemma and must face the true nature of their humanity.                                                                                                                                                                                                                                                                                                                                                                                                                     1\n",
       "After a nationwide casting search including college campuses across the country--Arizona State University, University of Oklahoma, University of Vermont, University of Wisconsin at Madison, University of Georgia, Texas Tech, Boston University and Washington State University--the filmmakers cast a unique collection of real people ready to explore reality's barriers beyond the limits of television, while on the ultimate Spring Break vacation, with surprising results. Designed to be the first true reality feature film, six camera crews followed the cast--made up of 16 American college students--and filmed their exploits as they immersed and indulged in the Spring Break revelry of Cancun, Mexico. Filmed 24 hours a day over the course of a week in March 2003, the movie was shot on location and reveals the students' exploits through interviews and planned group activities, as well as through their own spontaneous adventures.                                                                          1\n",
       "A documentarian decides to follow the career of New York actress Lisa Picard, believing she is on the brink of fame. Instead, he bears witness to Lisa's continued, humorous, struggles as an actress, as well as the conflict that arises when Lisa's best friend Tate hits it big with an off-Broadway one-man show.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        1\n",
       "The true story of Operation Market Garden, the Allies attempt, in September 1944, to hasten the end of WW2 by driving through Belgium and Holland into Germany. The idea was for US airborne divisions to take the towns of Eindhoven and Nijmegen and a British airborne division, reinforced by a Polish airborne brigade, to take the town of Arnhem. They would be reinforced, in due course and in turn, by the British XXX Corps, land-based and driving up from the British lines in the south. The key to the operation was the bridges, as if the Germans held or blew them, the paratroopers could not be relieved. Faulty intelligence, Allied high command hubris and stubborn German resistance would ensure that Arnhem was a bridge too far.                                                                                                                                                                                                                                                                                   1\n",
       "In a futuristic London, the rising sea levels mean that large areas are under feet of water. Hauer plays a cop who previously lost his partner to some strange creature. Now the creature is back and its after him.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          1\n",
       "Picking up where the original Nightmare left off, Nancy has grown up and become a psychiatrist specializing in dream therapy. She meets a group of children at a local hospital facing Freddy Krueger, the same demon she once encountered in her sleep. One of them is Kristen, who has the power to draw other people into her dreams. Working with a male doctor assigned to the case, Nancy helps the kids realize their special abilities within the nightmare world. When Freddy captures one of her charges, she leads a rescue attempt into Krueger's domain, in hopes of putting his spirit to rest once and for all.                                                                                                                                                                                                                                                                                                                                                                                                                1\n",
       "Reuben Feffer thinks he's found the love of his life but on his honeymoon he discovers her cheating on him with a scuba instructor. Reuben travels back home to get his life on track. On a night out with best pal, Sandy Lyle, Reuben discovers an old school friend, Polly Prince. Reuben feels a connection straight away, and tries constantly to get her to like him. But it's not going to be easy for Reuben, especially when he spends his days calculating risks, and when someone unexpected turns up.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             1\n",
       "When a freak hurricane swamps Los Angeles, nature's deadliest killer rules sea, land, and air as thousands of sharks terrorize the waterlogged populace.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      1\n",
       "Throughout history, tales of chivalry have burnished the legends of brave, handsome knights who rescue fair damsels, slay dragons and conquer evil. But behind many a hero is a good-for-nothing younger brother trying just to stay out of the way of those dragons, evil and trouble in general. As two princes on a daring mission to save their land, they must rescue the heir apparent's fiancée before their kingdom is destroyed. Thadeous (McBride) has spent his life watching his perfect older brother Fabious (Franco) embark upon valiant journeys and win the hearts of his people. Tired of being passed over for adventure, adoration and the throne, he's settled for a life of wizard's weed, hard booze and easy maidens. But when Fabious' bride-to-be, Belladonna (Zooey Deschanel), gets kidnapped by the evil wizard Leezar (Justin Theroux), the king gives his deadbeat son an ultimatum: Man up and help rescue her or get cut off. Half-assedly embarking upon his first quest, Thadeous joins Fabious to ...     1\n",
       "This is the story of Willard Stiles who is a social misfit taking care of his ill and fragile but verbally abusive mother Henrietta in a musty old mansion that is also home to a colony of rats. Willard then finds himself constantly humiliated in front of his co-workers and is eventually fired by his cruel and uncaring boss, Mr. Frank Martin, a vicious man whose professional interest in Willard extends to a personal financial one.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             1\n",
       "Hollywood send-up. No-name actors are making a low-budget period drama called \"Home for Purim,\" when an anonymous post on the Internet suggests that one performance is Oscar-worthy. Then, two more cast members get Oscar-related press: buzz in \"Variety\" and appearances on TV prompt the studio executives to insist on changes in the script in anticipation of a blockbuster. Jump ahead a few months to the days before Oscar nominees are announced: just the possibility of a nomination has changed the actors' lives. Agents, publicists, make-up artists, local celebrity reporters, and other bit players round out the backstage ensemble. Hooray for Hollywood!                                                                                                                                                                                                                                                                                                                                                               1\n",
       "Housewife and mother Penny Chenery agrees to take over her ailing father's Virginia-based Meadow Stables, despite her lack of horse-racing knowledge. Against all odds, Chenery -- with the help of veteran trainer Lucien Laurin -- manages to navigate the male-dominated business, ultimately fostering the first Triple Crown winner in twenty-five years.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                1\n",
       "After it looks as if she's left his life for good this time, Tom Hansen reflects back on the just over one year that he knew Summer Finn. For Tom, it was love at first sight when she walked into the greeting card company where he worked, she the new administrative assistant. Soon, Tom knew that Summer was the woman with whom he wanted to spend the rest of his life. Although Summer did not believe in relationships or boyfriends - in her assertion, real life will always ultimately get in the way - Tom and Summer became more than just friends. Through the trials and tribulations of Tom and Summer's so-called relationship, Tom could always count on the advice of his two best friends, McKenzie and Paul. However, it is Tom's adolescent sister, Rachel, who is his voice of reason. After all is said and done, Tom is the one who ultimately has to make the choice to listen or not.                                                                                                                            1\n",
       "Nader (Peyman Moaadi) and Simin (Leila Hatami) argue about living abroad. Simin prefers to live abroad to provide better opportunities for their only daughter, Termeh. However, Nader refuses to go because he thinks he must stay in Iran and take care of his father (Ali-Asghar Shahbazi), who suffers from Alzheimers. However, Simin is determined to get a divorce and leave the country with her daughter.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            1\n",
       "In Jungle Village, the leader of the Lion's clan Gold Lion is summoned by the Governor and assigned to protect his gold that will be transported through the village. However he is betrayed and murdered by the greedy Silver Lion and Bronze Lion. Gold Lion's favorite son Zen Yi, a.k.a. The X-Blade, seeks revenge and heads to Jungle Village, but he is defeated by Brass Body and rescued by the local Blacksmith Thaddeus. Meanwhile the Gemini Female and the Gemini Male protect the Governor's gold, but they are vanquished by the army of Silver and Bronze Lion. The Blacksmith is abducted by the Lions and has his arms severed by Brass Body. However he is saved by the British Jack Knife, who is the emissary of the Emperor, and he manufactures iron arms for Thaddeus. Meanwhile the Governor sends the Jackal army to fight against the Lions and they hide the gold in the brothel of Madam Blossom. However, Madam Blossom and his girls form an army of black widows and together with Jack, Zen Yi and The...    1\n",
       "The story of a Californian couple expecting a child and their group of friends confronted with the tragedy of a big loss.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     1\n",
       "Chris Pontius, Johnny Knoxville, Steve-O, Bam Margera, and the whole crew return to the screen to raise the stakes higher than ever before.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   1\n",
       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             ..\n",
       "One thousand years after cataclysmic events forced humanity's escape from Earth, Nova Prime has become mankind's new home. Legendary General Cypher Raige returns from an extended tour of duty to his estranged family, ready to be a father to his 13-year-old son, Kitai. When an asteroid storm damages Cypher and Kitai's craft, they crash-land on a now unfamiliar and dangerous Earth. As his father lies dying in the cockpit, Kitai must trek across the hostile terrain to recover their rescue beacon. His whole life, Kitai has wanted nothing more than to be a soldier like his father. Today, he gets his chance.                                                                                                                                                                                                                                                                                                                                                                                                             1\n",
       "Phoenix officeworker Marion Crane is fed up with the way life has treated her. She has to meet her lover Sam in lunch breaks and they cannot get married because Sam has to give most of his money away in alimony. One Friday Marion is trusted to bank $40,000 by her employer. Seeing the opportunity to take the money and start a new life, Marion leaves town and heads towards Sam's California store. Tired after the long drive and caught in a storm, she gets off the main highway and pulls into The Bates Motel. The motel is managed by a quiet young man called Norman who seems to be dominated by his mother.                                                                                                                                                                                                                                                                                                                                                                                                                1\n",
       "More than a dozen Angelenos navigate Valentine's Day from early morning until midnight. Three couples awake together, but each relationship will sputter; are any worth saving? A grade-school boy wants flowers for his first true love; two high school seniors plan first-time sex at noon; a TV sports reporter gets the assignment to find romance in LA; a star quarterback contemplates his future; two strangers meet on a plane; grandparents, together for years, face a crisis; and, an \"I Hate Valentine's Day\" dinner beckons the lonely and the lied to. Can Cupid finish his work by midnight?                                                                                                                                                                                                                                                                                                                                                                                                                                 1\n",
       "An international soccer star is on his way to sign a multimillion-dollar contract when a series of events unfold that bring his career to an abrupt end. A beautiful waitress, struggling to make it in New York City, discovers something about herself that she's unprepared for. In one irreversible moment, their lives are turned upside down... until a simple gesture of kindness brings them both together, turning an ordinary day to an unforgettable experience.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   1\n",
       "Venice, 1596. Melancholy Antonio loves the youthful Bassanio, so when Bassanio asks for 3000 ducats, Antonio says yes before knowing it's to sue for the hand of Portia. His capital tied up in merchant ships at sea, Antonio must go to Shylock, a Jewish moneylender he reviles. Shylock wraps his grudge in kindness, offering a three-month loan at no interest, but if not repaid, Antonio will owe a pound of flesh. The Jew's daughter elopes with a Christian, whetting Shylock's hatred. While Bassanio's away wooing Portia, Antonio's ships founder, and Shylock demands his pound of flesh. With court assembled and a judgment due, Portia swings into action to save Bassanio's friend.                                                                                                                                                                                                                                                                                                                                        1\n",
       "Aladdin is a poor street urchin who spends his time stealing food from the marketplace in the city of Agrabah. His adventures begin when he meets a young girl who happens to be Princess Jasmine, who is forced to be married by her wacky yet estranged father. Aladdin's luck suddenly changes when he retrieves a magical lamp from the Cave of Wonders. What he unwittingly gets is a fun-loving genie who only wishes to have his freedom. Little do they know is that the Sultan's sinister advisor Jafar has his own plans for both Aladdin and the lamp.                                                                                                                                                                                                                                                                                                                                                                                                                                                                             1\n",
       "On August 7, 1974, Philippe Petit, a French wire walker, juggler, and street performer days shy of his 25th birthday, spent 45 minutes walking, dancing, kneeling, and lying on a wire he and friends strung between the rooftops of the Twin Towers. Uses contemporary interviews, archival footage, and recreations to tell the story of his previous walks between towers of Notre Dame and of the Sydney Harbour Bridge, his passions and friendships, and the details of the night before the walk: getting cable into the towers, hiding from guards, and mounting the wire. It ends with observations of the profound changes the walk's success brought to Philippe and those closest to him.                                                                                                                                                                                                                                                                                                                                         1\n",
       "Arthur and his two children, Kathy and Bobby, inherit his Uncle Cyrus's estate: a glass house that serves as a prison to 12 ghosts. When the family, accompanied by Bobby's Nanny and an attorney, enter the house they find themselves trapped inside an evil machine \"designed by the devil and powered by the dead\" to open the Eye of Hell. Aided by Dennis, a ghost hunter, and his rival Kalina, a ghost rights activist out to set the ghosts free, the group must do what they can to get out of the house alive.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     1\n",
       "In rural Texas, welder and hunter Llewelyn Moss (Josh Brolin) discovers the remains of several drug runners who have all killed each other in an exchange gone violently wrong. Rather than report the discovery to the police, Moss decides to simply take the two million dollars present for himself. This puts the psychopathic killer, Anton Chigurh (Javier Bardem), on his trail as he dispassionately murders nearly every rival, bystander and even employer in his pursuit of his quarry and the money. As Moss desperately attempts to keep one step ahead, the blood from this hunt begins to flow behind him with relentlessly growing intensity as Chigurh closes in. Meanwhile, the laconic Sheriff Ed Tom Bell (Tommy Lee Jones) blithely oversees the investigation even as he struggles to face the sheer enormity of the crimes he is attempting to thwart.                                                                                                                                                                1\n",
       "When he wakes up the morning after his bachelor party in bed with a strange woman, a man presumes he must have cheated on his fiancée. Guilt leads him to try to cover it up in the week before the wedding, high jinks ensue.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                1\n",
       "During the reign of the Tang dynasty in China, a secret organization called \"The House of the Flying Daggers\" rises and opposes the government. A police officer called Leo sends officer Jin to investigate a young dancer named Mei, claiming that she has ties to the \"Flying Daggers\". Leo arrests Mei, only to have Jin breaking her free in a plot to gain her trust and lead the police to the new leader of the secret organization. But things are far more complicated than they seem...                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            1\n",
       "Jerri Blank is a 46-year-old \"boozer, user and a loser\" who tries to put her life back together again. The reformed runaway and addict returns to high school as a freshman, where she tries to fit in and act hip with girls 1/3 her age. Unfortunately, she hasn't quite shed her immoral background or acquired any ethics, and her bizarre family and frustrated schoolmates have trouble interacting with her.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           1\n",
       "An undercover Detroit cop navigates a dangerous neighborhood that's surrounded by a containment wall with the help of an ex-con in order to bring down a crime lord and his plot to devastate the entire city.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                1\n",
       "Winter, 1988: Harrisburg PA's celebrity weatherman, Russ Richards, is broke: he's borrowed heavily to open a snowmobile dealership, and it's still unseasonably warm. Gig, his seedy pal, advises him to run an insurance scam; when it goes awry, Russ is out another $10,000 and in trouble with Dale, a bat-wielding thug. Gig convinces Russ to rig the state lottery with the help of Crystal, a gold-digging ditz with a heart of tin. They have to find a beard to buy the ticket, and then they have to cash it. Soon, murder and various double-crosses add to Russ's nightmare. A lazy cop zeroes in. Jail is closer than riches. Will Russ have to choose between his money and his life?                                                                                                                                                                                                                                                                                                                                          1\n",
       "The plot revolves around the 1969 Stonewall Riots, the violent clash that kicked off the gay rights movement in New York City. The drama centers on Danny Winters, who flees to New York, leaving behind his sister. He finds his way to the Stonewall Inn, where he meets Trevor before catching the eye of Ed Murphy, manager of the Stonewall. He colludes with corrupt police and exploits homeless youth.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                1\n",
       "After his bombardier is killed, Jake \"Cool Hand\" Grafton (Brad Johnson)', a carrier-based Intruder pilot, questions the purpose of Navy bombing missions. He finds an ally for his cynicism in Virgil Cole, a bombardier on his third tour of duty, and together they ponder the notion of one unsanctioned mission \"downtown\", to \"Sam City\" in North Vietnam.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               1\n",
       "When Berke Landers, a popular high school basketball star, gets dumped by his life-long girlfriend, Allison, he soon begins to lose it. But with the help of his best friend Felix's sister Kelly, he follows his ex into the school's spring musical. Thus endues a love triangle loosely based upon Shakespeare's \"A Midsummer Night's Dream\", where Berke is only to find himself getting over Allison and beginning to fall for Kelly.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    1\n",
       "It's the ultimate buddy cop movie except for one thing: they're not cops. When two struggling pals dress as police officers for a costume party, they become neighborhood sensations. But when these newly-minted \"heroes\" get tangled in a real life web of mobsters and dirty detectives, they must put their fake badges on the line.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      1\n",
       "In Philadelphia, Detective Bowden is still grieving for his wife and son, killed in a hit-and-run five years ago. When someone jumps from a skyscraper onto a truck, Bowden is sent to investigate. Meanwhile, five strangers are trapped in an elevator in the building where the jumper committed suicide. The communication radio in the elevator is broken but the guards, Lustig and Ramirez, observe the individuals via CCTV as events unfold. Tensions run high among those trapped, so Lustig calls the police and Detective Bowden assumes the case. Without being able to contact the individuals, he tries to work out who they are, but he can only account for four of them. Time is running out for the occupants of the elevator, as Bowden realizes he has to get them out quickly.                                                                                                                                                                                                                                          1\n",
       "Dray is a young playboy whose only objective in life seems to be to have sex with as many girls as he can without getting caught by his girlfriend Lisa. Dray's sister Jenny and her friend Katrina plan to show him that the way he lives is wrong and organize a party in Malibu, inviting all of his girlfriends.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          1\n",
       "A vicious killer named Fung goes around Hong Kong killing top martial arts exponents and leaving a secret weapon called the Moonshadow as his calling card. When a convicted killer and kung fu expert named Ha - formerly working as a martial arts instructor before accidentally killing a man and being imprisoned and convicted for the crime he didn't intend to do - hears of this, he offers to help the police catch the killer in return for his freedom. With Ha's help, the police realize from the chronological order of the victims that the killer is targeting his victims, all top masters in their respective martial arts style, and following a martial code of training. After a close encounter with Fung, Ha suddenly disappears and the police begin to suspect the worse: that the two are accomplices and Fung was the bait to help spring Ha from jail. But Ha has actually gone back to his home in Foshan to find out more about the mysterious calling card. While doing so, he discovers the killer's ...     1\n",
       "In the 30's, in New York, the coffin of the leftist gangster Johnny Tempio is brought to the house of his older brother Ray for the wake of family and friends. Ray is a cold gangster that likes to read and is married to Jean. His brother Chez is a hot head that runs a bar and is married to Clara . Ray decides to revenge the murder of his younger brother and believes the gangster Gaspare is the one who killed Johnny. Meanwhile Chez has a breakdown with tragic consequences for the Tempio brothers.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          1\n",
       "A sketch comedy movie about the joys and embarrassments of teen sex. But mostly the embarrassments.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           1\n",
       "A single mother in Paris, Bernadette tried hard to give her daughters everything. She is thrilled when her eldest, Elza, the first college graduate in the family, completes her master's degree. However, Elza breaks her mother's heart by running away to their native Guadeloupe in search of a distant childhood memory: the father she barely remembers. This feature debut by writer/director Mariette Monpierre offers an unusual insider's view of lush island culture as she captures the passion and contradictions of this family.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                1\n",
       "When Waring Hudsucker, head of hugely successful Hudsucker Industries, commits suicide, his board of directors, led by Sidney Mussberger, comes up with a brilliant plan to make a lot of money: appoint a moron to run the company. When the stock falls low enough, Sidney and friends can buy it up for pennies on the dollar, take over the company, and restore its fortunes. They choose idealistic Norville Barnes, who just started in the mail room. Norville is whacky enough to drive any company to ruin, but soon, tough reporter Amy Archer smells a rat and begins an undercover investigation of Hudsucker Industries.                                                                                                                                                                                                                                                                                                                                                                                                        1\n",
       "After the death of 11 climbers, Austrian Heinrich Harrer (Brad Pitt) decides to add glory to his country and to the Austrian pride by climbing Nanga Parbat in British India, and leaves his expectant wife behind. An egoist and a loner, he does not get along with others on his team - but must bend to their wishes after bad weather threatens them. Then WWII breaks out, they are arrested and lodged in Dehra Dun's P.O.W. Camp. He attempts to break out several times in vain, but finally does succeed along with Peter Aufschnaiter (David Thewlis), and they end up in the holy city of Lhasa - a place banned to foreigners. They are provided food and shelter, and Peter ends up marrying a tailor, Pema Lhaki, while Heinrich befriends the Dalai Lama. They meet regularly; while he satiates the child's curiosity about the world, including Jack the Ripper and 'yellow hair'; he is exposed to the teachings of Lord Buddha, He even constructs a movie theater, while getting news of the end of the war, his ...     1\n",
       "A senior at an elite college, already under severe pressure to complete her thesis and land a prestigious job, must confront the sudden reappearance of her old boyfriend, after his two-year, unexplained absence.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           1\n",
       "Follow a week in the life of a young folk singer as he navigates the Greenwich Village folk scene of 1961. Guitar in tow, huddled against the unforgiving New York winter, he is struggling to make it as a musician against seemingly insurmountable obstacles -- some of them of his own making.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            1\n",
       "Jim Morris is a Texas high school chemistry teacher and coach of the school's baseball team. He's always loved baseball and as a way of motivating his players, he agrees to go to a professional try-out if they win the championship. He once had aspirations to be a professional baseball player but an injury brought that to an end. Sure enough, the 39 year-old father of three finds himself at a camp for the Tampa Bay Devil Rays and he somehow seems to have regained his pitching arm, easily throwing a 98 mph fastball. Signed to a contract, he toils in the minor leagues while his supportive wife stays home raising their children. He soon finds himself called up to the big club and pitching for Tampa which is in Texas playing the Rangers. Based on a true story.                                                                                                                                                                                                                                                 1\n",
       "Based on the true story of Leigh Anne Tuohy and Sean Tuohy who take in a homeless teenage African-American, Michael Oher. Michael has no idea who his father is and his mother is a drug addict. Michael has had little formal education and few skills to help him learn. Leigh Anne soon takes charge however, as is her nature, ensuring that the young man has every opportunity to succeed. When he expresses an interest in football, she goes all out to help him, including giving the coach a few ideas on how best to use Michael's skills. They not only provide him with a loving home, but hire a tutor to help him improve his grades to the point where he would qualify for an NCAA Division I athletic scholarship. Michael Oher was the first-round pick of the Baltimore Ravens in the 2009 NFL draft.                                                                                                                                                                                                                     1\n",
       "Name: storyline, Length: 4914, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.storyline=df.storyline.drop_duplicates(keep='first')\n",
    "df.storyline.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "colab_type": "code",
    "id": "92oJbtAilU7t",
    "outputId": "18142760-fa78-4f98-dbbb-e7098d470e41"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to C:\\Users\\admin-\n",
      "[nltk_data]     karim\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Unzipping corpora\\stopwords.zip.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['when',\n",
       " 'his',\n",
       " 'brother',\n",
       " 'is',\n",
       " 'killed',\n",
       " 'in',\n",
       " 'a',\n",
       " 'robbery',\n",
       " 'paraplegic',\n",
       " 'marine',\n",
       " 'jake',\n",
       " 'sully',\n",
       " 'decides',\n",
       " 'to',\n",
       " 'take',\n",
       " 'his',\n",
       " 'place',\n",
       " 'in',\n",
       " 'a',\n",
       " 'mission',\n",
       " 'on',\n",
       " 'the',\n",
       " 'distant',\n",
       " 'world',\n",
       " 'of',\n",
       " 'pandora',\n",
       " 'there',\n",
       " 'he',\n",
       " 'learns',\n",
       " 'of',\n",
       " 'greedy',\n",
       " 'corporate',\n",
       " 'figurehead',\n",
       " 'parker',\n",
       " 'selfridges',\n",
       " 'intentions',\n",
       " 'of',\n",
       " 'driving',\n",
       " 'off',\n",
       " 'the',\n",
       " 'native',\n",
       " 'humanoid',\n",
       " 'navi',\n",
       " 'in',\n",
       " 'order',\n",
       " 'to',\n",
       " 'mine',\n",
       " 'for',\n",
       " 'the',\n",
       " 'precious',\n",
       " 'material',\n",
       " 'scattered',\n",
       " 'throughout',\n",
       " 'their',\n",
       " 'rich',\n",
       " 'woodland',\n",
       " 'in',\n",
       " 'exchange',\n",
       " 'for',\n",
       " 'the',\n",
       " 'spinal',\n",
       " 'surgery',\n",
       " 'that',\n",
       " 'will',\n",
       " 'fix',\n",
       " 'his',\n",
       " 'legs',\n",
       " 'jake',\n",
       " 'gathers',\n",
       " 'intel',\n",
       " 'for',\n",
       " 'the',\n",
       " 'cooperating',\n",
       " 'military',\n",
       " 'unit',\n",
       " 'spearheaded',\n",
       " 'by',\n",
       " 'gungho',\n",
       " 'colonel',\n",
       " 'quaritch',\n",
       " 'while',\n",
       " 'simultaneously',\n",
       " 'attempting',\n",
       " 'to',\n",
       " 'infiltrate',\n",
       " 'the',\n",
       " 'navi',\n",
       " 'people',\n",
       " 'with',\n",
       " 'the',\n",
       " 'use',\n",
       " 'of',\n",
       " 'an',\n",
       " 'avatar',\n",
       " 'identity',\n",
       " 'while',\n",
       " 'jake',\n",
       " 'begins',\n",
       " 'to',\n",
       " 'bond',\n",
       " 'with',\n",
       " 'the',\n",
       " 'native',\n",
       " 'tribe',\n",
       " 'and',\n",
       " 'quickly',\n",
       " 'falls',\n",
       " 'in',\n",
       " 'love',\n",
       " 'with',\n",
       " 'the',\n",
       " 'beautiful',\n",
       " 'alien',\n",
       " 'neytiri',\n",
       " 'the',\n",
       " 'restless',\n",
       " 'colonel',\n",
       " 'moves',\n",
       " 'forward',\n",
       " 'with',\n",
       " 'his',\n",
       " 'ruthless',\n",
       " 'extermination',\n",
       " 'tactics',\n",
       " 'forcing',\n",
       " 'the',\n",
       " 'soldier',\n",
       " 'to',\n",
       " 'take',\n",
       " 'a',\n",
       " 'stand',\n",
       " '',\n",
       " 'and',\n",
       " 'fight',\n",
       " 'back',\n",
       " 'in',\n",
       " 'an',\n",
       " 'epic',\n",
       " 'battle',\n",
       " 'for',\n",
       " 'the',\n",
       " 'fate',\n",
       " 'of',\n",
       " 'pandora']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import re\n",
    "nltk.download('stopwords')\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.stem.snowball import SnowballStemmer\n",
    "from nltk.stem.wordnet import WordNetLemmatizer\n",
    "def clean(s):\n",
    "    s=str(s)\n",
    "    s=s.lower()\n",
    "    html=re.compile('<.*?>')   #removing html tags\n",
    "    cleaned = re.sub(html,' ',s)\n",
    "    fil=[]\n",
    "    for i in cleaned.split():\n",
    "        if i!='c++':\n",
    "            cleaned=re.sub('[^A-Za-z]+', '', i)\n",
    "            fil.append(cleaned)\n",
    "        else:\n",
    "            fil.append(i)\n",
    "    return fil\n",
    "stop=set(stopwords.words('english'))\n",
    "sno=SnowballStemmer('english')\n",
    "clean(df.storyline[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "mEMiquUilU7z"
   },
   "outputs": [],
   "source": [
    "def stem(s):\n",
    "    fil=[]\n",
    "    for _ in s:\n",
    "        if _ not in stop:\n",
    "            s=(sno.stem(_).encode('utf8'))\n",
    "            fil.append(s)\n",
    "    s=b' '.join(fil)\n",
    "    return s\n",
    "#stem(\"b'how to draw a stacked dotplot in r'\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "PlVBX1v7lU74"
   },
   "outputs": [],
   "source": [
    "l=[]\n",
    "for _ in df.storyline:\n",
    "    l.append(stem(clean(_)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "s26IP7_plU7-"
   },
   "outputs": [],
   "source": [
    "df['clean']=l\n",
    "#df.to_csv('train_clean',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Bz_JxQivlU8E"
   },
   "outputs": [],
   "source": [
    "import re\n",
    "l=[]\n",
    "for i in df.genres:\n",
    "    l.append(re.sub('[^A-Za-z#+-]+', ' ', i))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 206
    },
    "colab_type": "code",
    "id": "DErfq2ZblU8I",
    "outputId": "7370e4ba-cb9d-4836-bc33-e648803615d8"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genres</th>\n",
       "      <th>storyline</th>\n",
       "      <th>clean</th>\n",
       "      <th>cgenres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Action|Adventure|Fantasy|Sci-Fi</td>\n",
       "      <td>When his brother is killed in a robbery, parap...</td>\n",
       "      <td>b'brother kill robberi parapleg marin jake sul...</td>\n",
       "      <td>Action Adventure Fantasy Sci-Fi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Action|Adventure|Fantasy</td>\n",
       "      <td>After Elizabeth, Will, and Captain Barbossa re...</td>\n",
       "      <td>b'elizabeth captain barbossa rescu captain jac...</td>\n",
       "      <td>Action Adventure Fantasy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Action|Adventure|Thriller</td>\n",
       "      <td>A cryptic message from the past sends James Bo...</td>\n",
       "      <td>b'cryptic messag past send jame bond rogu miss...</td>\n",
       "      <td>Action Adventure Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Action|Thriller</td>\n",
       "      <td>Despite his tarnished reputation after the eve...</td>\n",
       "      <td>b'despit tarnish reput event dark knight took ...</td>\n",
       "      <td>Action Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Documentary</td>\n",
       "      <td>NaN</td>\n",
       "      <td>b'nan'</td>\n",
       "      <td>Documentary</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            genres  \\\n",
       "0  Action|Adventure|Fantasy|Sci-Fi   \n",
       "1         Action|Adventure|Fantasy   \n",
       "2        Action|Adventure|Thriller   \n",
       "3                  Action|Thriller   \n",
       "4                      Documentary   \n",
       "\n",
       "                                           storyline  \\\n",
       "0  When his brother is killed in a robbery, parap...   \n",
       "1  After Elizabeth, Will, and Captain Barbossa re...   \n",
       "2  A cryptic message from the past sends James Bo...   \n",
       "3  Despite his tarnished reputation after the eve...   \n",
       "4                                                NaN   \n",
       "\n",
       "                                               clean  \\\n",
       "0  b'brother kill robberi parapleg marin jake sul...   \n",
       "1  b'elizabeth captain barbossa rescu captain jac...   \n",
       "2  b'cryptic messag past send jame bond rogu miss...   \n",
       "3  b'despit tarnish reput event dark knight took ...   \n",
       "4                                             b'nan'   \n",
       "\n",
       "                           cgenres  \n",
       "0  Action Adventure Fantasy Sci-Fi  \n",
       "1         Action Adventure Fantasy  \n",
       "2        Action Adventure Thriller  \n",
       "3                  Action Thriller  \n",
       "4                      Documentary  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['cgenres']=l\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "rzxWbaUDlU8N"
   },
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "vectorizer = CountVectorizer(tokenizer = lambda x: x.split())\n",
    "genre_dtm = vectorizer.fit_transform(df['cgenres'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 72
    },
    "colab_type": "code",
    "id": "Qk2YXyEolU8S",
    "outputId": "43c4b2a2-70a5-4d3b-838a-ae39700196aa"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of data points : 5043\n",
      "Number of unique tags : 26\n",
      "Some of the genres we have : ['action', 'adventure', 'animation', 'biography', 'comedy', 'crime', 'documentary', 'drama', 'family', 'fantasy']\n"
     ]
    }
   ],
   "source": [
    "print(\"Number of data points :\", genre_dtm.shape[0])\n",
    "print(\"Number of unique tags :\", genre_dtm.shape[1])\n",
    "genres = vectorizer.get_feature_names()\n",
    "#Lets look at the tags we have.\n",
    "print(\"Some of the genres we have :\", genres[:10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "kygavTUplU8W"
   },
   "outputs": [],
   "source": [
    "freqs = genre_dtm.sum(axis=0).A1\n",
    "result = dict(zip(genres, freqs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 206
    },
    "colab_type": "code",
    "id": "RgscZFnslU8Y",
    "outputId": "c9bc00fe-ebb2-4690-f102-2544bc7549f5"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genres</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>action</td>\n",
       "      <td>1153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>adventure</td>\n",
       "      <td>923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>animation</td>\n",
       "      <td>242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>biography</td>\n",
       "      <td>293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>comedy</td>\n",
       "      <td>1872</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      genres  count\n",
       "0     action   1153\n",
       "1  adventure    923\n",
       "2  animation    242\n",
       "3  biography    293\n",
       "4     comedy   1872"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "l=list(freqs)\n",
    "df_genrecount=pd.DataFrame()\n",
    "df_genrecount['genres']=genres\n",
    "df_genrecount['count']=l\n",
    "df_genrecount.to_csv('genrecount',index=False)\n",
    "df_genrecount=pd.read_csv('genrecount')\n",
    "df_genrecount.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 72
    },
    "colab_type": "code",
    "id": "EdgbTFTtlU8d",
    "outputId": "41387c81-0e5f-499b-8d64-ec341488a42b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2594, 1872, 1411, 1153, 1107,  923,  889,  616,  610,  565,  546,\n",
       "        500,  293,  242,  214,  213,  207,  182,  132,  121,   97,    6,\n",
       "          5,    3,    2,    1], dtype=int64)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_genre_sort=df_genrecount.sort_values(['count'],ascending=False)\n",
    "df_count=df_genre_sort['count'].values\n",
    "df_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 295
    },
    "colab_type": "code",
    "id": "rVBziGnGlU8h",
    "outputId": "29540326-5718-460e-88df-92ac4e8b53ec"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x207f62fb7f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.plot(df_count)\n",
    "plt.title(\"Distribution of number of times tag appeared questions\")\n",
    "plt.grid()\n",
    "plt.xlabel(\"Genre number\")\n",
    "plt.ylabel(\"Number of times tag appeared\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 54
    },
    "colab_type": "code",
    "id": "RYkee2TslU8n",
    "outputId": "3745fb31-ea03-4998-8c99-7e3e90e04db6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We have total 5043 datapoints.\n",
      "[4, 3, 3, 2, 1]\n"
     ]
    }
   ],
   "source": [
    "genre_quest_count = genre_dtm.sum(axis=1).tolist()\n",
    "genre_quest_count=[int(j) for i in genre_quest_count for j in i]\n",
    "print ('We have total {} datapoints.'.format(len(genre_quest_count)))\n",
    "\n",
    "print(genre_quest_count[:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 72
    },
    "colab_type": "code",
    "id": "SlJceXmklU8s",
    "outputId": "88a10e40-aba0-409d-a2ad-dee469dbe467"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Maximum number of genres per question: 8\n",
      "Minimum number of genres per question: 1\n",
      "Avg. number of genres per question: 2.876066\n"
     ]
    }
   ],
   "source": [
    "print( \"Maximum number of genres per question: %d\"%max(genre_quest_count))\n",
    "print( \"Minimum number of genres per question: %d\"%min(genre_quest_count))\n",
    "print( \"Avg. number of genres per question: %f\"% ((sum(genre_quest_count)*1.0)/len(genre_quest_count)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 295
    },
    "colab_type": "code",
    "id": "qdMc9fC6lU8x",
    "outputId": "ab7313dd-389c-49a3-e39b-c4fbf1c01e59"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x207f6b9c550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.countplot(genre_quest_count, palette='gist_rainbow')\n",
    "plt.title(\"Number of tags in the questions \")\n",
    "plt.xlabel(\"Number of Tags\")\n",
    "plt.ylabel(\"Number of questions\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "colab_type": "code",
    "id": "cJ8eW2IklU8_",
    "outputId": "94f125ab-684a-4a2e-e7ae-230a01cc1551"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x207f6c44048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from wordcloud import WordCloud\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "tup = dict(result.items())\n",
    "wordcloud = WordCloud(    background_color='black',\n",
    "                          width=1600,\n",
    "                          height=800,\n",
    "                    ).generate_from_frequencies(tup)\n",
    "\n",
    "fig = plt.figure(figsize=(30,20))\n",
    "plt.imshow(wordcloud)\n",
    "plt.axis('off')\n",
    "plt.tight_layout(pad=0)\n",
    "fig.savefig(\"genre.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 352
    },
    "colab_type": "code",
    "id": "T2IfAk-elU9C",
    "outputId": "a44f0392-c1d4-4f4e-f612-00469d449278"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x207f70979e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "i=np.arange(30)\n",
    "df_genre_sort.head(30).plot(kind='bar')\n",
    "plt.title('Frequency of top 20 tags')\n",
    "plt.xticks(i, df_genre_sort['genres'])\n",
    "plt.xlabel('Genres')\n",
    "plt.ylabel('Counts')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "TGqdr_RFlU9H"
   },
   "outputs": [],
   "source": [
    "# binary='true' will give a binary vectorizer\n",
    "vectorizer = CountVectorizer(tokenizer = lambda x: x.split(), binary='true')\n",
    "multilabel_y = vectorizer.fit_transform(df['cgenres'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "aGOO2V7QlU9J"
   },
   "outputs": [],
   "source": [
    "def genres_to_choose(n):\n",
    "    t = multilabel_y.sum(axis=0).tolist()[0]\n",
    "    sorted_genres_i = sorted(range(len(t)), key=lambda i: t[i], reverse=True)\n",
    "    multilabel_yn=multilabel_y[:,sorted_genres_i[:n]]\n",
    "    return multilabel_yn\n",
    "\n",
    "def questions_explained_fn(n):\n",
    "    multilabel_yn = genres_to_choose(n)\n",
    "    x= multilabel_yn.sum(axis=1)\n",
    "    return (np.count_nonzero(x==0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "2MHe546SlU9N"
   },
   "outputs": [],
   "source": [
    "questions_explained = []\n",
    "total_genres=multilabel_y.shape[1]\n",
    "total_qs=df.shape[0]\n",
    "for i in range(1, total_genres):\n",
    "    questions_explained.append(np.round(((total_qs-questions_explained_fn(i))/total_qs)*100,3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 301
    },
    "colab_type": "code",
    "id": "wJmvcSSRlU9P",
    "outputId": "a0d83f90-e9ae-4120-d51d-b539c6da0e33"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function matplotlib.pyplot.show(*args, **kw)>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x207f6c06898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.plot(questions_explained)\n",
    "xlabel = list(np.array(range(10,100,10)))\n",
    "ax.set_xticklabels(xlabel)\n",
    "plt.xlabel(\"Number of genres\")\n",
    "plt.ylabel(\"Number Questions coverd partially\")\n",
    "plt.grid()\n",
    "plt.show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "HozDO0BAlU9R"
   },
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import TransformerMixin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Ics_gsaOlU9W"
   },
   "outputs": [],
   "source": [
    "d=pd.DataFrame()\n",
    "d['storyline']=df.clean\n",
    "d['genres']=df.cgenres\n",
    "d.to_csv('C:/Users/admin-karim/Downloads/bn/final.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 206
    },
    "colab_type": "code",
    "id": "c4QiOweJlU9Z",
    "outputId": "43d40266-f30e-4b6a-ccf4-89a10649e300"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>storyline</th>\n",
       "      <th>genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>b'brother kill robberi parapleg marin jake sul...</td>\n",
       "      <td>Action Adventure Fantasy Sci-Fi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>b'elizabeth captain barbossa rescu captain jac...</td>\n",
       "      <td>Action Adventure Fantasy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>b'cryptic messag past send jame bond rogu miss...</td>\n",
       "      <td>Action Adventure Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>b'despit tarnish reput event dark knight took ...</td>\n",
       "      <td>Action Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>b'nan'</td>\n",
       "      <td>Documentary</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           storyline  \\\n",
       "0  b'brother kill robberi parapleg marin jake sul...   \n",
       "1  b'elizabeth captain barbossa rescu captain jac...   \n",
       "2  b'cryptic messag past send jame bond rogu miss...   \n",
       "3  b'despit tarnish reput event dark knight took ...   \n",
       "4                                             b'nan'   \n",
       "\n",
       "                            genres  \n",
       "0  Action Adventure Fantasy Sci-Fi  \n",
       "1         Action Adventure Fantasy  \n",
       "2        Action Adventure Thriller  \n",
       "3                  Action Thriller  \n",
       "4                      Documentary  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_csv('C:/Users/admin-karim/Downloads/bn/final.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "YS0l5uV9lU9b"
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "x_train,x_test,y_train,y_test=train_test_split(df.storyline, df.genres, test_size=0.2, random_state=9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "-SYr5nASlU9e"
   },
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import TfidfVectorizer,CountVectorizer\n",
    "tfvectorizer = TfidfVectorizer(min_df=0.00009, max_features=200000, smooth_idf=True, norm=\"l2\", \\\n",
    "                             tokenizer = lambda x: x.split(), sublinear_tf=False, ngram_range=(1,3))\n",
    "x_train_multilabel = tfvectorizer.fit_transform(x_train)\n",
    "x_test_multilabel = tfvectorizer.transform(x_test)\n",
    "\n",
    "vectorizer = CountVectorizer(tokenizer = lambda x: x.split(), binary='true')\n",
    "y_train_multilabel = vectorizer.fit_transform(y_train)\n",
    "y_test_multilabel = vectorizer.transform(y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 54
    },
    "colab_type": "code",
    "id": "DNzRzB7ElU9g",
    "outputId": "dbc3ceec-adfd-4f2b-83f9-ccb5f45f0b35"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<1009x200000 sparse matrix of type '<class 'numpy.float64'>'\n",
       "\twith 50712 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_test_multilabel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4034, 25)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train_multilabel.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 919
    },
    "colab_type": "code",
    "id": "t4FIlYEWlU9j",
    "outputId": "613f1c25-524c-4d56-faa2-b4024748d393"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy : 0.10604558969276512\n",
      "macro f1 score : 0.4103509948387882\n",
      "micro f1 scoore : 0.5928544845552661\n",
      "hamming loss : 0.08673934588701684\n",
      "Precision recall report :\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.62      0.68      0.65       229\n",
      "           1       0.67      0.57      0.62       191\n",
      "           2       0.56      0.16      0.25        57\n",
      "           3       0.64      0.17      0.26        54\n",
      "           4       0.68      0.63      0.65       361\n",
      "           5       0.58      0.62      0.60       160\n",
      "           6       0.78      0.24      0.37        29\n",
      "           7       0.70      0.71      0.71       514\n",
      "           8       0.48      0.49      0.48       113\n",
      "           9       0.58      0.42      0.49       118\n",
      "          10       0.00      0.00      0.00         0\n",
      "          11       0.50      0.13      0.21        45\n",
      "          12       0.68      0.50      0.58       116\n",
      "          13       0.50      0.34      0.41        29\n",
      "          14       0.40      0.09      0.14        23\n",
      "          15       0.61      0.33      0.43       112\n",
      "          16       0.00      0.00      0.00         2\n",
      "          17       0.00      0.00      0.00         1\n",
      "          18       0.54      0.55      0.54       212\n",
      "          19       0.77      0.55      0.64       119\n",
      "          20       0.00      0.00      0.00         1\n",
      "          21       0.89      0.60      0.72        40\n",
      "          22       0.57      0.61      0.59       276\n",
      "          23       0.63      0.58      0.60        33\n",
      "          24       0.83      0.21      0.33        24\n",
      "\n",
      "   micro avg       0.63      0.56      0.59      2859\n",
      "   macro avg       0.53      0.37      0.41      2859\n",
      "weighted avg       0.63      0.56      0.58      2859\n",
      " samples avg       0.63      0.58      0.56      2859\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\admin-karim\\appdata\\local\\programs\\python\\python35\\lib\\site-packages\\sklearn\\metrics\\classification.py:1437: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "c:\\users\\admin-karim\\appdata\\local\\programs\\python\\python35\\lib\\site-packages\\sklearn\\metrics\\classification.py:1439: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true samples.\n",
      "  'recall', 'true', average, warn_for)\n",
      "c:\\users\\admin-karim\\appdata\\local\\programs\\python\\python35\\lib\\site-packages\\sklearn\\metrics\\classification.py:1437: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "c:\\users\\admin-karim\\appdata\\local\\programs\\python\\python35\\lib\\site-packages\\sklearn\\metrics\\classification.py:1439: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n",
      "  'recall', 'true', average, warn_for)\n",
      "c:\\users\\admin-karim\\appdata\\local\\programs\\python\\python35\\lib\\site-packages\\sklearn\\metrics\\classification.py:1437: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "c:\\users\\admin-karim\\appdata\\local\\programs\\python\\python35\\lib\\site-packages\\sklearn\\metrics\\classification.py:1439: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n",
      "  'recall', 'true', average, warn_for)\n",
      "c:\\users\\admin-karim\\appdata\\local\\programs\\python\\python35\\lib\\site-packages\\sklearn\\metrics\\classification.py:1437: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "c:\\users\\admin-karim\\appdata\\local\\programs\\python\\python35\\lib\\site-packages\\sklearn\\metrics\\classification.py:1439: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n",
      "  'recall', 'true', average, warn_for)\n",
      "c:\\users\\admin-karim\\appdata\\local\\programs\\python\\python35\\lib\\site-packages\\sklearn\\metrics\\classification.py:1437: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in samples with no predicted labels.\n",
      "  'precision', 'predicted', average, warn_for)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.multiclass import OneVsRestClassifier\n",
    "from sklearn.linear_model import SGDClassifier\n",
    "from sklearn import metrics\n",
    "from sklearn.metrics import f1_score,precision_score,recall_score\n",
    "from sklearn import svm\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "\n",
    "\n",
    "classifier = OneVsRestClassifier(SGDClassifier(loss='log', alpha=0.00001, penalty='l1'), n_jobs=-1)\n",
    "classifier.fit(x_train_multilabel, y_train_multilabel)\n",
    "predictions = classifier.predict(x_test_multilabel)\n",
    "\n",
    "print(\"accuracy :\",metrics.accuracy_score(y_test_multilabel,predictions))\n",
    "print(\"macro f1 score :\",metrics.f1_score(y_test_multilabel, predictions, average = 'macro'))\n",
    "print(\"micro f1 scoore :\",metrics.f1_score(y_test_multilabel, predictions, average = 'micro'))\n",
    "print(\"hamming loss :\",metrics.hamming_loss(y_test_multilabel,predictions))\n",
    "print(\"Precision recall report :\\n\",metrics.classification_report(y_test_multilabel, predictions))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(4034, 25)\n"
     ]
    }
   ],
   "source": [
    "print(y_train_multilabel.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "IOhA9WfIlU9m",
    "outputId": "8eee6e11-fc3e-442a-e7ab-862d6448c053"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "You have TensorFlow version 1.8.0\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "\n",
    "from sklearn.preprocessing import LabelBinarizer, LabelEncoder\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from keras.callbacks import LambdaCallback\n",
    "from tensorflow import keras\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Activation, Dropout\n",
    "from keras.preprocessing import text, sequence\n",
    "from keras import utils\n",
    "from keras.optimizers import RMSprop\n",
    "from keras.layers import Dense, Embedding, LSTM, SpatialDropout1D\n",
    "\n",
    "import tensorflow as tf\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Dropout, LSTM\n",
    "import random\n",
    "import sys\n",
    "import io\n",
    "import re\n",
    "import string\n",
    "from keras.layers import Dense\n",
    "\n",
    "# This code was tested with TensorFlow v1.4\n",
    "print(\"You have TensorFlow version\", tf.__version__)\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "from keras import Sequential\n",
    "from keras import layers\n",
    "\n",
    "from keras.preprocessing import sequence\n",
    "from keras.layers import Dense, Dropout, Embedding, LSTM, Bidirectional"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "wm_XGgc4lU9o"
   },
   "outputs": [],
   "source": [
    "max_features = 100\n",
    "# cut texts after this number of words\n",
    "# (among top max_features most common words)\n",
    "max_len = 100\n",
    "batch_size =32\n",
    "#x_train[0:1]\n",
    "#x_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 384
    },
    "colab_type": "code",
    "id": "fbRutnLgZa5W",
    "outputId": "25e4811e-bc93-4db1-af69-6d962fb2d5b2"
   },
   "outputs": [],
   "source": [
    "max_len = 500       #length of sequence\n",
    "batch_size = 256\n",
    "epochs = 500\n",
    "\n",
    "# The maximum number of words to be used. (most frequent)\n",
    "MAX_NB_WORDS = 50000\n",
    "# Max number of words in each complaint.\n",
    "MAX_SEQUENCE_LENGTH = 250\n",
    "# This is fixed.\n",
    "EMBEDDING_DIM = 100\n",
    "#max_features = len(word_index) + 1   # (number of words in the vocabulary) + 1\n",
    "#x_train = sequence.pad_sequences(x_train, maxlen=max_len, padding='pre')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 25814 unique tokens.\n"
     ]
    }
   ],
   "source": [
    "from keras.preprocessing.text import Tokenizer\n",
    "\n",
    "tokenizer = Tokenizer(num_words=MAX_NB_WORDS, filters = '!\"#$%&()*+,-./:;<=>?@[\\]^_`{|}~', lower=True)\n",
    "tokenizer.fit_on_texts(df['storyline'].values)\n",
    "word_index = tokenizer.word_index\n",
    "print('Found %s unique tokens.' % len(word_index))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of input tensor: (5043, 250)\n"
     ]
    }
   ],
   "source": [
    "features = tokenizer.texts_to_sequences(df['storyline'].values)\n",
    "features = pad_sequences(features, maxlen = MAX_SEQUENCE_LENGTH)\n",
    "print('Shape of input tensor:', features.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of label tensor: (5043, 914)\n"
     ]
    }
   ],
   "source": [
    "labels = pd.get_dummies(df['genres']).values\n",
    "print('Shape of label tensor:', labels.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "x_train, x_test, y_train, y_test = train_test_split(features, labels, test_size = 0.4, random_state = 42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 311
    },
    "colab_type": "code",
    "id": "g7CYuO0dlU9q",
    "outputId": "64aef15b-c76e-49d0-d46d-a8a2c8335a63"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "embedding_9 (Embedding)      (None, 250, 100)          5000000   \n",
      "_________________________________________________________________\n",
      "spatial_dropout1d_5 (Spatial (None, 250, 100)          0         \n",
      "_________________________________________________________________\n",
      "lstm_10 (LSTM)               (None, 128)               117248    \n",
      "_________________________________________________________________\n",
      "dropout_8 (Dropout)          (None, 128)               0         \n",
      "_________________________________________________________________\n",
      "dense_6 (Dense)              (None, 914)               117906    \n",
      "=================================================================\n",
      "Total params: 5,235,154\n",
      "Trainable params: 5,235,154\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model = Sequential()\n",
    "model.add(Embedding(MAX_NB_WORDS, EMBEDDING_DIM, input_length=MAX_SEQUENCE_LENGTH))\n",
    "model.add(SpatialDropout1D(0.2))\n",
    "model.add(LSTM(128))\n",
    "model.add(Dropout(0.3))\n",
    "model.add(Dense(y_train.shape[1], activation='softmax'))\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "z0beYmsOwFTa"
   },
   "outputs": [],
   "source": [
    "model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 382
    },
    "colab_type": "code",
    "id": "kjzwvtiTlU9v",
    "outputId": "27fd5baa-a3aa-4a90-e022-cb184af0eded"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train...\n",
      "Train on 3025 samples, validate on 2018 samples\n",
      "Epoch 1/1\n",
      "3025/3025 [==============================] - 49s 16ms/step - loss: 6.8059 - acc: 0.0314 - val_loss: 6.7535 - val_acc: 0.0436\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x2078a130320>"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('Train...')\n",
    "model.fit(x_train, y_train,\n",
    "          batch_size=batch_size,\n",
    "          epochs=1,\n",
    "          validation_data=[x_test, y_test])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 382
    },
    "colab_type": "code",
    "id": "TIatrjILwbRQ",
    "outputId": "3987ea20-a171-46c2-bab9-6933623941fa"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training Accuracy: 0.0489\n",
      "Testing Accuracy:  0.0436\n"
     ]
    }
   ],
   "source": [
    "loss, accuracy = model.evaluate(x_train, y_train, verbose=False)\n",
    "print(\"Training Accuracy: {:.4f}\".format(accuracy))\n",
    "loss, accuracy = model.evaluate(x_test, y_test, verbose=False)\n",
    "print(\"Testing Accuracy:  {:.4f}\".format(accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "name": "Movie storyline with LSTM.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}