Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/603
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dc.contributor.authorMohan Raj, Prasanna-
dc.contributor.authorAditya, S-
dc.date.accessioned2023-03-17T06:52:13Z-
dc.date.available2023-03-17T06:52:13Z-
dc.date.issued2020-01-22-
dc.identifier.issn2319–1171-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/603-
dc.description.abstractThe film industry is one of the biggest contributors to the entertainment industry and also it is characterised with its unpredictability in success and Failure. Film Industry has always amused everyone with its unpredictable success and Failure.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. The research work has taken two Indian movies as samples for study.en_US
dc.language.isoenen_US
dc.publisherResearch Journal of Management Sciencesen_US
dc.subjectMovie success prediction Modelen_US
dc.subjectInfluencing variables for movie watchingen_US
dc.subjectSocial sentiment analysisen_US
dc.subjectDiscriminant Analysisen_US
dc.titlePredictive Model for Movie's Success and Sentiment Analysisen_US
dc.typeArticleen_US
Appears in Collections:Journal Articles

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