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Sentiment Based Movie Rating System Using Machine Learning(ml)

SENTIMENT BASED MOVIE RATING SYSTEM USING MACHINE LEARNING(ML)

  • Project Code :
  • TCMAJA111
  • .
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SENTIMENT BASED MOVIE RATING SYSTEM USING MACHINE LEARNING(ML)

Sentiment Based Movie Rating System

Abstract:

This information is presented in different formats such as posts, news articles, comments, and reviews. The movie film rating system is used in the dependency, to rate a film's suitability for certain audiences based on its content. The rating system is a voluntary scheme that is not enforced by law films but can be exhibited without a rating; we often encounter online movie rating sites, which are used to extract important aspects of an item and to predict the orientation. It makes use of Machine Learning to find the sentiment orientation. Sentiment based movie rating system is an online system that automatically allows users to post reviews and stores them to rate movies based on user sentiments. The system analyzes the stored data to check for user sentiments associated with each comment. The system gathers all the comments for a particular movie and then calculates an average rating to score it. This score is generated for every movie in the system. The system also sorts and displays top rating movies as per analysis by using machine learning technique and calculate a top ten list automatically. This provides an automated movie rating system based on sentiment analysis.

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Includes

  • Complete Source Code
  • Complete Documentation
  • Complete Presentation Slides
  • Flow Diagram
  • Database File
  • Screenshots
  • Execution Procedure
  • Readme File
  • Addons
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