Movie success prediction using script and summary analysis

IIMA Institutional Repository

Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/26194

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DC Field	Value	Language
dc.contributor.advisor	Gupta, Samrat	-
dc.contributor.author	Bansal, Annu	-
dc.contributor.author	Khanna, Ishaan	-
dc.date.accessioned	2023-03-28T06:20:41Z	-
dc.date.available	2023-03-28T06:20:41Z	-
dc.date.issued	2021-09-07	-
dc.identifier.uri	http://hdl.handle.net/11718/26194	-
dc.description.abstract	A SVM (Support Vector Machine) approach is employed to predict financial success of a film based on summary analysis. The approach analyzed 2090 films and achieved a 55.5% precision accuracy. A method to extract the emotional arc of a film based on sentiment analysis of a film script is also presented. The method successfully extracted the emotiona	en_US
dc.language.iso	en	en_US
dc.publisher	Indian Institute of Management Ahmedabad	en_US
dc.subject	Movie success	en_US
dc.subject	Motion picture industry	en_US
dc.subject	Movie script	en_US
dc.subject	Film industry	en_US
dc.subject	Bollywood movies	en_US
dc.subject	Hollywood film	en_US
dc.subject	Support Vector Machine	en_US
dc.title	Movie success prediction using script and summary analysis	en_US
dc.type	Student Project	en_US
Appears in Collections:	Student Projects

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