Shypd.aiThe largest open index of AI toolsAJAX-Movie-Recommendation-System-with-Sentiment-Analysis is an open-source content-based movie recommender system. It suggests movies based on user preferences and analyzes sentiment from user reviews.
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AJAX-Movie-Recommendation-System-with-Sentiment-Analysis is a content-based movie recommender system that identifies and suggests movies similar to those a user enjoys. Beyond recommendations, it incorporates sentiment analysis to evaluate user reviews for a given movie. The system leverages the TMDB API to fetch movie details such as title, genre, runtime, rating, and poster. For sentiment analysis, it performs web scraping on IMDB using Beautiful Soup to gather user reviews. The core recommendation logic relies on cosine similarity to determine how similar movies are based on their textual details. This project is open-source and available on GitHub, providing a practical example of combining recommendation engines with sentiment analysis.
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