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Application of text mining in tourism: Case of Croatia

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  • Godnov, Uroš
  • Redek, Tjaša

Abstract

•Text reviews increasingly important for travelers and managerial decision-making.•Numerical evaluation of facility rarely sufficient, textual reviews provide rich information.•Illustration how text mining methods can be used to summarize reviews.•Implications for travelers and management highlighted.

Suggested Citation

  • Godnov, Uroš & Redek, Tjaša, 2016. "Application of text mining in tourism: Case of Croatia," Annals of Tourism Research, Elsevier, vol. 58(C), pages 162-166.
    • Handle: RePEc:eee:anture:v:58:y:2016:i:c:p:162-166
    DOI: 10.1016/j.annals.2016.02.005
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    References listed on IDEAS

    as
    1. Pabel, Anja & Pearce, Philip L., 2016. "Tourists’ responses to humour," Annals of Tourism Research, Elsevier, vol. 57(C), pages 190-205.
    2. Feinerer, Ingo & Hornik, Kurt & Meyer, David, 2008. "Text Mining Infrastructure in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i05).
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Nilashi, Mehrbakhsh & Abumalloh, Rabab Ali & Minaei-Bidgoli, Behrouz & Abdu Zogaan, Waleed & Alhargan, Ashwaq & Mohd, Saidatulakmal & Syed Azhar, Sharifah Nurlaili Farhana & Asadi, Shahla & Samad, Sar, 2022. "Revealing travellers’ satisfaction during COVID-19 outbreak: Moderating role of service quality," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    2. Vinaitheerthan Renganathan & Amitabh Upadhya, 2021. "Dubai Restaurants: A Sentiment Analysis of Tourist Reviews," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 14(2), pages 165-174.
    3. Villamediana, Jenely & Küster, Inés & Vila, Natalia, 2019. "Destination engagement on Facebook: Time and seasonality," Annals of Tourism Research, Elsevier, vol. 79(C).
    4. Gkritzali, Alkmini, 2017. "Online destination sentiment recovery during a sustained crisis," Annals of Tourism Research, Elsevier, vol. 66(C), pages 183-185.
    5. Liu, Yuan-Yuan & Tseng, Fang-Mei & Tseng, Yi-Heng, 2018. "Big Data analytics for forecasting tourism destination arrivals with the applied Vector Autoregression model," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 123-134.
    6. Wen-Kuo Chen & Dalianus Riantama & Long-Sheng Chen, 2020. "Using a Text Mining Approach to Hear Voices of Customers from Social Media toward the Fast-Food Restaurant Industry," Sustainability, MDPI, vol. 13(1), pages 1-17, December.

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