Skip to main content

Classification of Customer Reviews based on Sentiment Analysis

  • Conference paper
Information and Communication Technologies in Tourism 2012

Abstract

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%.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Bosangit, C., McCabe, S. & Hibbert, S. (2009). What is Told in Travel Blogs? Exploring Travel Blogs for Consumer Narrative Analysis. In W. Höpken, U. Gretzel & R. Law (Eds.). Information and Communication Technologies in Tourism 2009. Wien New York: Springer, pp.61–71.

    Chapter  Google Scholar 

  • Boiy, E. & Moens, M. (2009). A machine learning approach to sentiment analysis in multilingual Web texts. Information Retrieval 12(5): 526–558.

    Article  Google Scholar 

  • Carson, D. (2008). The Blogosphere as a Market Research Tool for Tourism Destinations. Journal of Vacation Marketing 14(2): 111–119.

    Article  Google Scholar 

  • Dippelreiter, B., Grün, Chr., Pöttler, M., Seidel, I., Berger, H., Dittenbach, M. & Pesenhofer, A. (2007). Online Tourism Communities on the Path to Web 2.0 — An Evaluation, Virtual Communities in Travel and Tourism. Information Technology & Tourism 10(4): 329–353.

    Article  Google Scholar 

  • Gindl, S., Weichselbraun, A. & Scharl, A. (2010). Cross-Domain Contextualisation of Sentiment Lexicons. In Proceeding of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence, pp. 771–776.

    Google Scholar 

  • Lin, Y.S. & Huang, J.Y., (2006). Internet blogs as a tourism marketing medium: A case study. Journal of Business Research 59(10–11): 1201–1205.

    Article  Google Scholar 

  • Litvin, S.W., Goldsmith, R.E. & Pan, B. (2008). Electronic Word-Of-Mouth in Hospitality and Tourism Management. Tourism Management 29(3): 458–68.

    Article  Google Scholar 

  • Manning, C.D. & Schuetze, H. (1999). Foundations of Statistical Natural Language Processing (1st edition). MIT Press,.

    Google Scholar 

  • O’Connor, P. (2008). User-Generated Content and Travel — A Case Study on Tripadvisor.Com. In O’Connor, P., Höpken, W. and Gretzel, U (Eds.), Information and Communication Technologies in Tourism 2008. New York: Springer, pp. 47–58.

    Chapter  Google Scholar 

  • Ohana, B. & Tierney, B. (2009). Sentiment Classification of Reviews Using SentiWordNet. In Proceedings of the 9th IT&T Conference. Dublin, Ireland: Dublin Institute of Technology.

    Google Scholar 

  • Pak, A. & Paroubek, P. (2010). Twitter as a Corpus for Sentiment Analysis and Opinion Mining. In Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC’10), Valletta, Malta.

    Google Scholar 

  • Pan, B., MacLaurin, T. & Crotts, J. C. (2007). Travel Blogs and the Implications for Destination Marketing. Journal of Travel Research 46(4): 35–45.

    Article  Google Scholar 

  • Pang, B. & Lee, L. (2008). Opinion Mining and Sentiment Analysis, Foundations and Trends in Information Retrieval 2(1–2): 1–135.

    Article  Google Scholar 

  • Scharl, A., Pollach, I. & Bauer, C. (2003). Determining the Semantic Orientation of Web-based Corpora. In J. Liu, Y. Cheung & H. Yin (Eds.), Intelligent Data Engineering and Automated Learning, 4th Int. Conference, Ideal, 2003, Hong Kong (Lecture Notes in Computer Science Vol. 2690). Berlin: Springer, pp. 840–849.

    Chapter  Google Scholar 

  • Schmallegger, D. & Carson, D. (2008). Blogs in Tourism: Changing Approaches to Information Exchange. Journal of Vacation Marketing 14(2): 99–110.

    Article  Google Scholar 

  • Taboada, M., Brooke, J., Tofiloski, M., Voll, K.D. & Stede, M., (2011). Lexicon-Based Methods for Sentiment Analysis. Computational Linguistics 37(2): 267–307.

    Article  Google Scholar 

  • Taboada, M. & Grieve, J. (2004). Analyzing Appraisal Automatically, Proceedings of the AAAI Spring Symposium on Exploring Attitude and Affect in Text.

    Google Scholar 

  • Vermeulen, I.E. & Seegers, D. (2009). Tried and Tested: The Impact of Online Hotel Reviews on Consumer Consideration. Tourism Management 30(2): 123–127.

    Article  Google Scholar 

  • Xiang, Z. & Gretzel, U. (2010). Role of Social Media in Online Travel Information Search. Tourism Management 31(2): 179–188

    Article  Google Scholar 

  • Ye, Q., Law, R., Gu, B. & Chen, W. (2011). The Influence of User-Generated Content on Traveler Behavior: An Empirical Investigation on the Effects of e-Word-Of-Mouth to Hotel Online Bookings. Computers in Human Behavior 27(2): 634–39.

    Article  Google Scholar 

  • Zehrer, A., Crotts, J.C. & Magnini, V.P. (2011). The Perceived Usefulness of Blog Postings: An Extension of the Expectancy-Disconfirmation Paradigm. Tourism Management 32(1): 106–13.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag/Wien

About this paper

Cite this paper

Gräbner, D., Zanker, M., Fliedl, G., Fuchs, M. (2012). Classification of Customer Reviews based on Sentiment Analysis. In: Fuchs, M., Ricci, F., Cantoni, L. (eds) Information and Communication Technologies in Tourism 2012. Springer, Vienna. https://doi.org/10.1007/978-3-7091-1142-0_40

Download citation

  • DOI: https://doi.org/10.1007/978-3-7091-1142-0_40

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-7091-1141-3

  • Online ISBN: 978-3-7091-1142-0

Publish with us

Policies and ethics