Movie success prediction using script and summary analysis

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