Movie success prediction using script and summary analysis
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
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