JP Journal of Heat and Mass Transfer
Special Issue, Advances in Mechanical System and ICT-Convergence, Pages 65 - 70
(June 2020) http://dx.doi.org/10.17654/HMSI120065 |
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ANALYZING THE SUCCESS FACTORS OF MOVIE BOX-OFFICE USING CUSTOMER REVIEWS WITH TOPIC ANALYSIS
Zeng Jing, Ho-Yeon Park, Dong-Ho Kim and Kyoung-Jae Kim
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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. |
Keywords and phrases: topic modeling, latent Dirichlet allocation, movie box-office success, text mining.
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