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Analysing User Reviews in Tourism with Topic Models

In: Information and Communication Technologies in Tourism 2015

Author

Listed:
  • Marco Rossetti

    (University of Milano-Bicocca)

  • Fabio Stella

    (University of Milano-Bicocca)

  • Longbing Cao

    (University of Technology)

  • Markus Zanker

    (Alpen-Adria-Universität)

Abstract

User generated content in general and textual reviews in particular constitute a vast source of information for the decision making of tourists and management and are therefore a key component for e-tourism. This paper explores different application scenarios for the topic model method to process these textual reviews in order to provide accurate decision support and recommendations as well as to build a basis for further analytics. Besides contributing a new model based on the topic model method, this paper also includes empirical evidence from experiments on user reviews from the YELP dataset and from TripAdvisor.

Suggested Citation

  • Marco Rossetti & Fabio Stella & Longbing Cao & Markus Zanker, 2015. "Analysing User Reviews in Tourism with Topic Models," Springer Books, in: Iis Tussyadiah & Alessandro Inversini (ed.), Information and Communication Technologies in Tourism 2015, edition 127, pages 47-58, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-14343-9_4
    DOI: 10.1007/978-3-319-14343-9_4
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