Extraction of hints and advice from hotel reviews for improving small hotel management

Sachio Hirokawa, Makoto Okada, Kiyota Hashimoto

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    There are various kinds of and huge amounts of hotel information both from providers and customers. Hotel information by hotels and travel agents are reliable. A much large number of reviews by general users are available, which might be less reliable compared to the official ones. However, those reviews are helpful, since we can hear their personal experience and opinion. This paper proposes a method to find hints and advice for improving small hotel management by extracting and analyzing the feature words of reviews. This paper focuses on the secondary major words and compares their occurrence probabilities in the business customer's review with the family customer's review. A visual interpretation is proposed by mapping the feature words on Word Net.

    Original languageEnglish
    Title of host publicationProceedings of the 2012 IEEE 14th International Conference on Commerce and Enterprise Computing, CEC 2012
    Pages166-170
    Number of pages5
    DOIs
    Publication statusPublished - 2012
    Event2012 IEEE 14th International Conference on Commerce and Enterprise Computing, CEC 2012 - Hangzhou, China
    Duration: Sept 9 2012Sept 11 2012

    Publication series

    NameProceedings of the 2012 IEEE 14th International Conference on Commerce and Enterprise Computing, CEC 2012

    Other

    Other2012 IEEE 14th International Conference on Commerce and Enterprise Computing, CEC 2012
    Country/TerritoryChina
    CityHangzhou
    Period9/9/129/11/12

    All Science Journal Classification (ASJC) codes

    • Information Systems and Management
    • Economics, Econometrics and Finance (miscellaneous)

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