Abstract:
On many online movie rating sites, the admin manually rates the movie based on user comments, ratings, and reviews. An online sentiment-based movie rating system automatically stores user reviews and rates movies based on user sentiments. The system checks user sentiments for each comment using stored data. This system has an English and Hindi sentiment library.
User comments are analyzed for sentimental keywords and predicted sentiment. After keywords are found, comments are sentiment-ranked. The system averages all movie comments to score it. Every system movie gets this score. Analysis sorts and displays top-rated movies and automatically calculates a top ten list. This automates sentiment-based movie ratings.
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