How do tourists evaluate Chinese hotels at different cities_ Mini.pdf - Association for Information Systems AIS Electronic Library(AISeL WHICEB 2016

How do tourists evaluate Chinese hotels at different cities_ Mini.pdf

This preview shows page 1 - 3 out of 10 pages.

Association for Information Systems AIS Electronic Library (AISeL) WHICEB 2016 Proceedings Wuhan International Conference on e-Business Summer 5-27-2016 How do tourists evaluate Chinese hotels at different cities? Mining online tourist reviewers for new insights Yong Liu Department of Information and Service Economy, Aalto University, Finland , [email protected] Thorsten Teichert Department of Information and Service Economy, Aalto University, Finland Feng Hu Chair of Marketing and Innovation, University of Hamburg, Germany Hongxiu Li Information Systems Science, Turku School of Economics, University of Turku, Finland Follow this and additional works at: This material is brought to you by the Wuhan International Conference on e-Business at AIS Electronic Library (AISeL). It has been accepted for inclusion in WHICEB 2016 Proceedings by an authorized administrator of AIS Electronic Library (AISeL). For more information, please contact [email protected] . Recommended Citation Liu, Yong; Teichert, Thorsten; Hu, Feng; and Li, Hongxiu, "How do tourists evaluate Chinese hotels at different cities? Mining online tourist reviewers for new insights" (2016). WHICEB 2016 Proceedings . 67.
Image of page 1

Subscribe to view the full document.

The Fifteenth Wuhan International Conference on E-Business Marketing and Social Media 23 How do tourists evaluate Chinese hotels at different cities? Mining online tourist reviewers for new insights Yong Liu 1* , Thorsten Teichert 2 , Feng Hu 2 , Hongxiu Li 3 1 Department of Information and Service Economy, Aalto University, Finland 2 Chair of Marketing and Innovation, University of Hamburg, Germany 3 Information Systems Science, Turku School of Economics, University of Turku, Finland Abstract: Affected by the factors like population, economic and geographic conditions, accommodation offerings are inherently different at different cities and characterized with their specific features. This heterogeneity is not limited to the supply-side but covers the demand-side as well. For instance, business and leisure tourists may favor different travel destinations. Therefore, the development of accommodation industry needs to match the evolving demands of tourists. In this study, we utilize text mining techniques to understand English-speaking tourists’ likes and dislikes with regard to hotels at different Chinese cities. Based on the studying the titles of 96,089 English reviews collected from TripAdvisor, the study seeks to explore the hotel attributes that tourists discussed in their reviews with regard to their lodging experience at a specific city. In particular, tourists’ complaints are studied through the use of low rating reviews. In addition, hotel features favored by tourists are identified via associating hotel attributes with sentiment-featured words like ‘great’ and ‘good’.
Image of page 2
Image of page 3
  • Fall '19

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern

Ask Expert Tutors You can ask You can ask ( soon) You can ask (will expire )
Answers in as fast as 15 minutes