How to Predict Financial Success of Movies based on Big Data Analytics

Yifan Yao

2021

Abstract

The movie industry is a field with high potential values but movies’ success is highly unpredictable. In this study, a model is developed to predict the financial performance of movies using big data analytics methods, which can serve as a reference for movie decision makers. The box office is considered as the major indicators of the financial performance of movies. Six features are defined to describe the movies and seven machine learning-based algorithms are used to predict the box office of movies. Four models are selected among them as component models to formulate the cinema ensemble model (CEM) by voting the estimates of four component models. The accuracy of the CEM model is tested by the APHR test, which is about 58.5% of Bingo rate. As a result, the accuracy of the CEM model is higher than all of the seven single component models.

Paper Citation

in Harvard Style

Yao Y. (2021). How to Predict Financial Success of Movies based on Big Data Analytics. In Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA, ISBN 978-989-758-589-0, pages 238-243. DOI: 10.5220/0011304800003437

in Bibtex Style

@conference{pmbda21,
author={Yifan Yao},
title={How to Predict Financial Success of Movies based on Big Data Analytics},
booktitle={Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,},
year={2021},
pages={238-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011304800003437},
isbn={978-989-758-589-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,
TI - How to Predict Financial Success of Movies based on Big Data Analytics
SN - 978-989-758-589-0
AU - Yao Y.
PY - 2021
SP - 238
EP - 243
DO - 10.5220/0011304800003437