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DC Field | Value | Language |
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dc.contributor.author | Mohan Raj, Prasanna | - |
dc.contributor.author | Aditya, S | - |
dc.date.accessioned | 2023-03-17T06:52:13Z | - |
dc.date.available | 2023-03-17T06:52:13Z | - |
dc.date.issued | 2020-01-22 | - |
dc.identifier.issn | 2319–1171 | - |
dc.identifier.uri | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/603 | - |
dc.description.abstract | The 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.iso | en | en_US |
dc.publisher | Research Journal of Management Sciences | en_US |
dc.subject | Movie success prediction Model | en_US |
dc.subject | Influencing variables for movie watching | en_US |
dc.subject | Social sentiment analysis | en_US |
dc.subject | Discriminant Analysis | en_US |
dc.title | Predictive Model for Movie's Success and Sentiment Analysis | en_US |
dc.type | Article | en_US |
Appears in Collections: | Journal Articles |
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SSRN-id3194449.pdf Restricted Access | 310.66 kB | Adobe PDF | View/Open Request a copy |
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