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Movie Recommendation System using Sentimental Analysis

Author(s) Dr. V. Ravi Kumar, K. Nithin Reddy, Ch. Shirisha, J. Vani, R. Poojitha
Country India
Abstract This project presents a movie recommendation system enhanced with sentiment analysis of user reviews. Unlike traditional systems that rely solely on ratings, this approach uses natural language processing to interpret user sentiments, enabling more accurate and personalized recommendations. The system leverages machine learning to classify review sentiments and improve user experience.
Keywords Recommendation System, Sentiment Analysis, Collaborative Filtering, Content-Based Filtering, Natural Language Processing, Twitter, VADER, TextBlob, Hybrid Model, User Preferences.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 6, June 2025
Published On 2025-06-13
Cite This Movie Recommendation System using Sentimental Analysis - Dr. V. Ravi Kumar, K. Nithin Reddy, Ch. Shirisha, J. Vani, R. Poojitha - IJLRP Volume 6, Issue 6, June 2025.
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