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

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

Technological Forecasting and Social Change, 2017, vol. 123, issue C, 362-369

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.

Keywords: Smart tourism; Smart destination management; Sentiment analysis; Text mining; User-generated content (UGC) (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (32)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:123:y:2017:i:c:p:362-369

DOI: 10.1016/j.techfore.2017.01.001

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