Assessing the helpfulness of online hotel reviews: A classification-based approach

Pei Ju Lee, Ya Han Hu, Kuan Ting Lu

研究成果: 雜誌貢獻期刊論文同行評審

118 引文 斯高帕斯(Scopus)

摘要

With the rapid development of Web 2.0, travelers have started sharing their travel experiences on websites. The expanding amount of online hotel reviews results in the problem of information overload. Therefore, the effective identification of helpful reviews has become an important research issue. In this study, online hotel reviews were collected from TripAdvisor.com, and the helpfulness of these reviews was comprehensively investigated from the aspects of review quality, review sentiment, and reviewer characteristics. Review helpfulness prediction models were also developed by using classification techniques. The results indicate that reviewer characteristics are good predictors of review helpfulness, whereas review quality and review sentiment are poor predictors of review helpfulness.

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頁(從 - 到)436-445
頁數10
期刊Telematics and Informatics
35
發行號2
DOIs
出版狀態已出版 - 5月 2018

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