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Business intelligence for destinations: Creating knowledge from social media
Mid Sweden University, Faculty of Human Sciences, Department of Tourism Studies and Geography. (ETOUR)ORCID iD: 0000-0003-3964-2716
University of Ravensburg-Weingarten. (ETOUR)
Mid Sweden University, Faculty of Human Sciences, Department of Tourism Studies and Geography. (ETOUR)ORCID iD: 0000-0002-6610-9303
2017 (English)In: Advances in social media for travel, tourism and hospitality: new perspectives, practice and cases / [ed] M. Sigala,U. Gretzel and E. Christou, Routledge, 2017, p. 290-310Chapter in book (Refereed)
Abstract [en]

Due to an increasing number of online reviews in social media sites it has become vital for destinations, and businesses alike, to capture and regularly analyse these reviews to gain valuable new knowledge as input to managerial decision support. However, in practice, the possibility to manually extract and analyse the vast amount of available online reviews is fairly limited. Thus, the focus of this chapter is to highlight how knowledge from social media is utilized in the prototypically implemented destination management information system, DMIS-Åre. In order to extract and analyse user generated content from the social media platforms TripAdvisor.comand Booking.com a recently validated framework applying machine learning methods and a dictionary-based approach is presented.

Place, publisher, year, edition, pages
Routledge, 2017. p. 290-310
Keywords [en]
Business intelligence;tourism;destination development, destination management
National Category
Economic Geography
Identifiers
URN: urn:nbn:se:miun:diva-29238DOI: 10.4324/9781315565736Scopus ID: 2-s2.0-85045041911Local ID: ETOURISBN: 9781472469205 (print)OAI: oai:DiVA.org:miun-29238DiVA, id: diva2:1045158
Projects
Kunskapsdestinationen IIAvailable from: 2016-11-08 Created: 2016-11-08 Last updated: 2018-05-15Bibliographically approved

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Fuchs, MatthiasLexhagen, Maria

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CiteExportLink to record
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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