著者

金 勝鎮 多田 伶 勝又 壮太郎

出版者

日本行動計量学会

雑誌

行動計量学 (ISSN:03855481)

巻号頁・発行日

vol.47, no.2, pp.99-109, 2020 (Released:2021-04-21)

参考文献数

30

被引用文献数

2

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This study proposes LDA with evaluation information. The authors focus on online consumer reviews with “helpfulness of review”. The purpose is to find specific topics that affect consumer's decision making from many consumer reviews. The authors exploit an evaluation score in addition to review text which is described in the natural language for simultaneously classifying topic model. The “helpfulness” scores are accessed by readers and are with integers of zero or more. The authors apply the suggested model in reviews for coffeemakers crawled from consumer's review website. The results show that the model distinguishes two topic groups with extremity which indicates that is helpful or not. Also, it shows that the two topic groups also have qualitative differences among firms (brands). The authors discuss the application of the model and findings for both review website managers and firm's marketers.