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Predictive model for movie’s success and sentiment analysis

Author Affiliations

  • 1School of Business, Alliance University, 19th Cross, 7th Main, BTM 2nd Stage, N.S. Palya, Bengaluru – 560 076, India
  • 2Marketing & Business Intelligence, TVS next Pvt. Ltd., ASV Chandilya Towers, OMR, Chennai-600096, India

Res. J. Management Sci., Volume 6, Issue (6), Pages 1-7, June,6 (2017)


The film industry is one of the biggest contributors to the entertainment industry and also it is characterized with its unpredictability in success and Failure. Film Industry has always amused everyone with its unpredictable success and Failure. The Indian scenario works a lot different than the western movies; a lot of importance is normally given to different parameters such as celebrity appeal, the movie album and others, which is an integral part of the movie itself; unlike, the western movies. This research looks into the inner details of watching a movie by splitting the research into three main components. First section is exploring the variables that influence the frequency of movie watch; second, developing a model to predict the success or failure. Finally, social network sentiment analysis is carried out through data mining to capture the audience sentiment and its impact on movie’s success and failure. The research tries to look at the success or failure of a movie on a more holistic manner than trying to grade the performance of a movie over a few variables based on the previous research works on movie success prediction.


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