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Analyzing the success factors of movie box-office using customer reviews with topic analysis
- Authors
- Jing, Z.; Park, H.-Y.; Kim, D.-H.; Kim, K.-J.
- Issue Date
- 2020
- Publisher
- Pushpa Publishing House
- Keywords
- Latent Dirichlet allocation; Movie box-office success; Text mining; topic modeling
- Citation
- JP Journal of Heat and Mass Transfer, v.2020, no.Special Issue 1, pp 65 - 70
- Pages
- 6
- Indexed
- SCOPUS
- Journal Title
- JP Journal of Heat and Mass Transfer
- Volume
- 2020
- Number
- Special Issue 1
- Start Page
- 65
- End Page
- 70
- ISSN
- 0973-5763
- Abstract
- The film review website has evaluated and rated the film through several movie fan registration member accounts, thus forming a mode of offline viewing and online evaluation. The online commentary of the movie is analyzed by the latent Dirichlet allocation model, and the topics have been obtained by the experiment named as the seven emotions of the viewers. © 2020 Pushpa Publishing House, Prayagraj, India.
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Related Researcher
- Kim, Kyong Jae
- Dongguk Business School (Department of Management Information System)