kishan0725/AJAX-Movie-Recommendation-System-with-Sentiment-Analysis
A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user
Uses cosine similarity over TF-IDF vectorized movie metadata (genre, runtime, cast, plot) to generate recommendations, with AJAX enabling real-time asynchronous queries. Integrates TMDB API for movie details and scrapes IMDB reviews via BeautifulSoup4 for sentiment analysis. Built on Flask backend with vanilla JavaScript frontend for dynamic user interactions without page reloads.
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Nov 23, 2024
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