Movie recommendation system based on emotion using python

It’s not always easy to pick the right movie to watch. Sometimes you're in the state of mind to see individuals begin to look all starry eyed at, or you need a motion picture to remind your connection with music, or you need to just watch characters to whom you relate or any emotion-based movie. Settling on this decision can't generally be understood by attempting to pick something dependent on genre. This is why we are going to create,  a “Movie recommendation system based on emotion”, which enables us to choose movies based on how you want their viewing experience to make them feel.

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Project description

Web Scraping using Python

Web Scraping refers to access the HTML of the webpage and extract useful information and data from it. This method is also called web scratching or web reaping or web information extraction. Here in this task, we are going to utilize web scratching to separate information from the website page utilizing Python and BeautifulSoup. The scraper is written in Python and utilizations lxml for parsing the site pages.

LXML

Python lxml is the most feature-rich and simple to-utilize library for processing XML and HTML data. Python contents are composed to perform numerous errands like Web scraping or scratching and parsing XML.

BeautifulSoup

It is a library of python which is utilized to pull the data from the web pages i.e HTML and XML files. It works with your preferred parser to give colloquial methods for exploring, looking and changing the parse tree.

Classify the emotions based and associated with the Genre of Movie

There are 8 classes of feeling that would be compelling to classification to the text. These are: ‘Anger’, ‘Expectation’, ‘Disgust’, ‘Fear’, ‘Bliss’, ‘Sad’, ‘Surprise’, ‘Trust’. Here these are taken as information and the relating motion pictures would be shown for the feeling.

The correspondence of each feeling with the class of films is recorded beneath:

• Sad – Drama
• Disgust – Musical
• Anger – Family
• Expectation – Thriller
• Fear – Sport
• Enjoyment – Thriller
• Trust – Western
• Surprise – Film-Noir

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Based on the input emotion, the relating classification would be chosen and all the main 5 films of that kind would be prescribed to the client.

Project Implementation

Few  essential steps for accomplishing the objective and step are:

1. One of the fundamental focuses of movies is to bring out feelings in their watchers. So we have IMDb that offers a variety of movies for all genres or kind. In this manner, the movie titles can be scratched from the IMDb rundown to recommend to the user.
2. Presently IMDb doesn't have an API for getting to data on motion pictures and TV Series. Accordingly, we need to perform scratching or scraping.
3. Scraping is utilized for getting to data from a site that is normally finished with APIs i.e utilizing BeautifulSoup which helps in scratching or scraping all the movie titles of the class relating to the information feeling and rundown to the user.
4. In the wake of Scrapping, the user has to choose the emotion and based on the emotion, it will suggest you the best and top five movies of that genre would be recommended to the user.
5. Now the user can enjoy the movie according to their mood and emotions.

Software Requirements

Programming Languages - BeautifulSoup and LXML

• No kit is required

• Python
• Machine Learning

Movie recommendation system based on emotion using python