GitHub repository: kirandeshpande777/Movie_Recommendation_System_with_sentiment_analysis
Primary language: Jupyter Notebook
Description: Content Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.  The details of the movies(title, genre, runtime, rating, poster, etc) are fetched using an API by TMDB, https://www.themoviedb.org/documentation/api, and using the IMDB id of the movie in the API, I did web scraping to get the reviews given by the user in the IMDB site and performed sentiment analysis on those reviews.