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Topic detection – identifying relevant topics in tourism reviews
University of Weingarten-Ravensburg. (Etour)
University of Weingarten-Ravensburg. (Etour)
Mid Sweden University, Faculty of Human Sciences, Department of Tourism Studies and Geography. (Etour)ORCID iD: 0000-0003-3964-2716
Mid Sweden University, Faculty of Human Sciences, Department of Tourism Studies and Geography. (Etour)ORCID iD: 0000-0002-6610-9303
2016 (English)In: Information and Communication Technologies in Tourism 2016: Proceedings of the International Conference in Bilbao, Spain, February 2-5, 2016 / [ed] A. Inversini, R. Schegg, Springer-Verlag New York, 2016, p. 411-423Conference paper, Published paper (Refereed)
Abstract [en]

In the past few years, user generated content (UGC) has been taking an increasingly important role in tourism. Traveller’s experiences and opinions about destinations and tourism services support potential customers in their booking decisions. Sentiments can be extracted automatically from UGC and be used as valuable input for managerial decisions. An important subtask of sentiment analysis is the task of topic detection, thus, identifying the topics or product features, like room, service, or food & drink in case of hotel reviews, the review is about. The paper presents an overall approach for extracting topics from touristic UGC, making use of different data mining techniques. The applied data mining techniques are compared and evaluated on the base of hotel reviews regarding the Swedish mountain tourism destination Åre.

Place, publisher, year, edition, pages
Springer-Verlag New York, 2016. p. 411-423
Keywords [en]
social media, tourism, social media reviews
National Category
Economic Geography
Identifiers
URN: urn:nbn:se:miun:diva-29227Local ID: ETOURISBN: 978-3-319-28231-2 (print)OAI: oai:DiVA.org:miun-29227DiVA, id: diva2:1045127
Conference
Proceedings of the ENTER Conference 2-5 February 2016 (Bilbao, Spain)
Projects
Kunskapsdestinationen IIAvailable from: 2016-11-08 Created: 2016-11-08 Last updated: 2017-01-11Bibliographically approved

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Fuchs, MatthiasLexhagen, Maria

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf