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Commit 14343fc

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Movie Recommendation on your mood
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‎Movie Recommendation/README.md

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# Movie Recommendation Based on Your Emotions 🤪
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The **_Movie Titles_** are scraped from the **IMDb list** by using **_BeautifulSoup Python Library_** to recommend to the user.
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There are 8 Pre-Defined Classes of Emotion that would be effectively classify Movies:
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## 1. Anger 😡
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## 2. Anticipation 🙄
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## 3. Disgust 🤢
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## 4. Fear 😱
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## 5. Joy 😃
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## 6. Sad 😞
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## 7. Surprise 😯
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## 8. Trust 😌

‎Movie Recommendation/script.py

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# Python3 code for movie recommendation based on your emotion
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# Import library for web
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# scrapping
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from bs4 import BeautifulSoup as SOUP
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import re
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import requests as HTTP
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# Main Function for scraping
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def main(emotion):
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# IMDb Url for Drama genre of
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# movie against emotion Sad
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if(emotion == "Sad"):
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urlhere = 'http://www.imdb.com/search/title?genres=drama&title_type=feature&sort=moviemeter, asc'
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# IMDb Url for Musical genre of
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# movie against emotion Disgust
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elif(emotion == "Disgust"):
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urlhere = 'http://www.imdb.com/search/title?genres=musical&title_type=feature&sort=moviemeter, asc'
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# IMDb Url for Family genre of
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# movie against emotion Anger
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elif(emotion == "Anger"):
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urlhere = 'http://www.imdb.com/search/title?genres=family&title_type=feature&sort=moviemeter, asc'
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# IMDb Url for Thriller genre of
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# movie against emotion Anticipation
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elif(emotion == "Anticipation"):
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urlhere = 'http://www.imdb.com/search/title?genres=thriller&title_type=feature&sort=moviemeter, asc'
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# IMDb Url for Sport genre of
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# movie against emotion Fear
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elif(emotion == "Fear"):
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urlhere = 'http://www.imdb.com/search/title?genres=sport&title_type=feature&sort=moviemeter, asc'
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# IMDb Url for Thriller genre of
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# movie against emotion Joy
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elif(emotion == "Joy"):
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urlhere = 'http://www.imdb.com/search/title?genres=thriller&title_type=feature&sort=moviemeter, asc'
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# IMDb Url for Western genre of
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# movie against emotion Trust
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elif(emotion == "Trust"):
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urlhere = 'http://www.imdb.com/search/title?genres=western&title_type=feature&sort=moviemeter, asc'
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# IMDb Url for Film_noir genre of
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# movie against emotion Surprise
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elif(emotion == "Surprise"):
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urlhere = 'http://www.imdb.com/search/title?genres=film_noir&title_type=feature&sort=moviemeter, asc'
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# HTTP request to get the data of
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# the whole page
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response = HTTP.get(urlhere)
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data = response.text
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# Parsing the data using
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# BeautifulSoup
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soup = SOUP(data, "lxml")
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# Extract movie titles from the
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# data using regex
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title = soup.find_all(
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"a", attrs={"href": re.compile(r'\/title\/tt+\d*\/')})
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return title
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# Driver Function
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if __name__ == '__main__':
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print("Select Your Emotion:\n 1. Anger\n 2. Anticipation\n 3. Disgust\n 4. Fear\n 5. Joy\n 6. Sad\n 7. Surprise\n 8. Trust")
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emotion = input("Enter the emotion: ")
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a = main(emotion)
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count = 0
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if(emotion == "Disgust" or emotion == "Anger"
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or emotion == "Surprise"):
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for i in a:
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# Splitting each line of the
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# IMDb data to scrape movies
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tmp = str(i).split('>;')
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if(len(tmp) == 3):
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print(tmp[1][:-3])
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if(count > 13):
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break
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count += 1
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else:
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for i in a:
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tmp = str(i).split('>')
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if(len(tmp) == 3):
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print(tmp[1][:-3])
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if(count > 11):
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break
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count += 1

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