Box Office Success Prediction Through Artificial Neural Network and Machine Learning Algorithm

6 Pages Posted: 21 Dec 2020

See all articles by Jay Bhatt

Jay Bhatt

NMIMS University

Saurav Verma

NMIMS University

Date Written: December 21, 2020

Abstract

In this study, a comparison is made between Artificial Neural Network Algorithm and Machine Learning Algorithm of Support Vector Machine by considering pre-release and pre plus post release features of a movie for predicting a movie to a particular success class. These success classes includes Flop/Disaster, Average, Hit, Super-Hit and Block-Buster of a movie. Our best performing model from Artificial Neural Network and Support Vector Machine is able to give better performance in order to predict any particular movie to specific success class of a movie for both the cases of prerelease as well as pre plus post release features of a movie.

Keywords: Artificial Intelligence, ANN, SVM

Suggested Citation

Bhatt, Jay and Verma, Saurav, Box Office Success Prediction Through Artificial Neural Network and Machine Learning Algorithm (December 21, 2020). e-journal - First Pan IIT International Management Conference – 2018, Available at SSRN: https://ssrn.com/abstract=3753059 or http://dx.doi.org/10.2139/ssrn.3753059

Jay Bhatt (Contact Author)

NMIMS University ( email )

Mumbai
India

Saurav Verma

NMIMS University ( email )

V. L. Mehta Road, Juhu
Vile Parle, Mumbai 400056
India

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