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Classification of c...
Classification of customer Reviews based on Sentiment Analysis
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- Gräbner, Dietmar (författare)
- Econob, Austria
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- Zanker, Markus (författare)
- Institute of Applied Informatics, Alpen-Adria-Universität, Klagenfurt, Austria
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- Fliedl, Günther (författare)
- Institute of Applied Informatics, Alpen-Adria-Universität, Klagenfurt, Austria
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- Fuchs, Matthias (författare)
- Mittuniversitetet,Institutionen för samhällsvetenskap (-2013),ETOUR
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(creator_code:org_t)
- Vienna : Springer, 2012
- 2012
- Engelska.
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Ingår i: Information and Communication Technologies in Tourism 2012. - Vienna : Springer. - 9783709111413 ; , s. 460-470
- Relaterad länk:
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http://www.configwor...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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%.
Nyckelord
- Web 2.0; sentiment analysis; customer reviews; classification
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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