IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitdm/v22y2023i01ns0219622022500626.html
   My bibliography  Save this article

A Hotel Ranking Model Through Online Reviews With Aspect-Based Sentiment Analysis

Author

Listed:
  • Tian-Hui You

    (Department of Information Management and Decision Sciences, School of Business Administration, Northeastern University, Shenyang 110169, P. R. China)

  • Ling-Ling Tao

    (Department of Information Management and Decision Sciences, School of Business Administration, Northeastern University, Shenyang 110169, P. R. China)

  • Erik Cambria

    (��School of Computer Science and Engineering, Nanyang Technological University, Singapore)

Abstract

The number of online textual reviews on each hotel aspect can reflect the tourist preference difference on distinct aspects. Therefore, not only online textual reviews but their numbers have a significant impact on tourists’ hotel selection decisions. Motivated by this observation, this study proposes a hotel ranking model for hotel selection based on the sentiment analysis of online textual reviews by considering the differences in the number of reviews on different aspects. We explicitly model the differences in the number of reviews on aspects through the confidence interval estimation. In addition, the AS-Capsules model, which can jointly perform aspect detection and aspect-level sentiment classification with high accuracy, is employed for sentiment analysis. We conducted a case study on TripAdvisor.com, the experimental results show that our proposed model is able to effectively assist the tourists in making the desirable decision on hotel selection.

Suggested Citation

  • Tian-Hui You & Ling-Ling Tao & Erik Cambria, 2023. "A Hotel Ranking Model Through Online Reviews With Aspect-Based Sentiment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 89-113, January.
    • Handle: RePEc:wsi:ijitdm:v:22:y:2023:i:01:n:s0219622022500626
    DOI: 10.1142/S0219622022500626
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219622022500626
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0219622022500626?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:ijitdm:v:22:y:2023:i:01:n:s0219622022500626. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitdm/ijitdm.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.