Analysing User Reviews in Tourism with Topic Models

Marco Rossetti (), Fabio Stella (), Longbing Cao () and Markus Zanker ()
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Marco Rossetti: University of Milano-Bicocca
Fabio Stella: University of Milano-Bicocca
Longbing Cao: University of Technology
Markus Zanker: Alpen-Adria-Universität

A chapter in Information and Communication Technologies in Tourism 2015, 2015, pp 47-58 from Springer

Abstract: 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.

Keywords: Web 2.0; Customer reviews; Classification (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-14343-9_4

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DOI: 10.1007/978-3-319-14343-9_4

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