A Review of Early Box Office Prediction Based on Social Media

Fangrui Liu

doi:10.54254/2755-2721/116/20251729

Research Article

Open access

Published on 8 November 2024

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A Review of Early Box Office Prediction Based on Social Media

Fangrui Liu *^,1,

¹ International College, Chongqing University of Posts and Telecommunications, No. 2, Chongwen Road, Nan'an District, Chongqing, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/116/20251729

Abstract

A wide range of box office prediction surveys based on artificial intelligence have made progress. However, early box office prediction remains imperfect due to significant uncertainty before a film's release, leading to increased interest in this area of research. Despite this, research is still in its early stages. To address this issue, we review early box office prediction methods based on social media data. By examining three approaches, we derive a generic process for early box office prediction. This paper compares the advantages and disadvantages of machine learning- and deep learning-based prediction methods. Additionally, we analyze the research trends and challenges in the field, providing a reference for researchers who are new to this area.

Keywords

Box Office Prediction, Machine Learning, Deep Learning.

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Cite this article

Liu,F. (2024). A Review of Early Box Office Prediction Based on Social Media. Applied and Computational Engineering,116,67-72.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 5th International Conference on Signal Processing and Machine Learning

Conference website: https://2025.confspml.org/

ISBN：978-1-83558-791-1(Print) / 978-1-83558-792-8(Online)

Conference date: 12 January 2025

Editor：Stavros Shiaeles

Series: Applied and Computational Engineering

Volume number: Vol.116

ISSN：2755-2721(Print) / 2755-273X(Online)

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