GitHub / iamdebasishdas123 / Movie_Recommended_System_With_Sentiment_Analysis
This project features a Movie Recommendation System that combines cosine similarity for personalized movie suggestions with sentiment analysis of real-time reviews from IMDb. By analyzing user sentiments, the system provides insights into how well-received a movie is by audiences, enhancing the recommendation experience.
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PURL: pkg:github/iamdebasishdas123/Movie_Recommended_System_With_Sentiment_Analysis
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 1000 KB
Dependencies parsed at: Pending
Created at: 12 months ago
Updated at: 3 months ago
Pushed at: 3 months ago
Last synced at: 3 months ago
Topics: cosine-similarity, movie-recommendation-app, recommendation-system, recommender-system, sentiment-analysis