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Classification of customer Reviews based on Sentiment Analysis
Econob, Austria.
Institute of Applied Informatics, Alpen-Adria-Universität, Klagenfurt, Austria.
Institute of Applied Informatics, Alpen-Adria-Universität, Klagenfurt, Austria.
Mid Sweden University, Faculty of Human Sciences, Department of Social Sciences. (ETOUR)ORCID iD: 0000-0003-3964-2716
2012 (English)In: Information and Communication Technologies in Tourism 2012: Proceedings of the International Conference in Helsingborg, Sweden, January 25–27, 2012 / [ed] Fuchs, M., Ricci, F. & Cantoni, L., Vienna: Springer, 2012, 460-470 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we propose a system that performs the classification of customer reviews of hotels by means of a sentiment analysis. We elaborate on a process to extract a domainspecific lexicon of semantically relevant words based on a given corpus (Scharl et al., 2003; Pak & Paroubek, 2010). The resulting lexicon backs the sentiment analysis for generating a classification of the reviews. The evaluation of the classification on test data shows that the proposed system performs better compared to a predefined baseline: if a customer review is classified as good or bad the classification is correct with a probability of about 90%.

Place, publisher, year, edition, pages
Vienna: Springer, 2012. 460-470 p.
Keyword [en]
Web 2.0; sentiment analysis; customer reviews; classification
National Category
Social Sciences
Identifiers
URN: urn:nbn:se:miun:diva-18038DOI: 10.1007/978-3-7091-1142-0_40Local ID: ETOURISBN: 978-3-7091-1141-3 (print)OAI: oai:DiVA.org:miun-18038DiVA: diva2:579422
Conference
Enter 2012, eTourism Present and Future services and Applications, Helsingborg, Sweden,24-27 January 2012
Available from: 2012-12-20 Created: 2012-12-20 Last updated: 2016-11-21Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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