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What makes tourists feel negatively about tourism destinations? Application of hybrid text mining methodology to smart destination management

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  • Kim, Kun
  • Park, Oun-joung
  • Yun, Seunghyun
  • Yun, Haejung

Abstract

Recently, the Internet has brought a big change in tourists' behavior patterns. Travelers not only reserve hotels and airline tickets online, but also exchange travel information and descriptions of pleasant or unpleasant travel experiences through online review sites and personal travel blogs. In spite of the increasing use of online channels, application of online text data has been limited since the volume of the data set is too large to analyze manually and comprehensively. With recent technological advances in processing big data online, consumer-generated information can be automatically analyzed by artificial intelligence.

Suggested Citation

  • Kim, Kun & Park, Oun-joung & Yun, Seunghyun & Yun, Haejung, 2017. "What makes tourists feel negatively about tourism destinations? Application of hybrid text mining methodology to smart destination management," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 362-369.
    • Handle: RePEc:eee:tefoso:v:123:y:2017:i:c:p:362-369
    DOI: 10.1016/j.techfore.2017.01.001
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    References listed on IDEAS

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