etBlogAnalysis —Mining Virtual Communities using Statistical and Linguistic Methods for Quality Control in Tourism

  • Klemens Waldhör
  • Alexander Rind


Travellers use Virtual Communities such as blogs or forums to share their experiences. This content can give invaluable support in developing and improving tourism products. Since the quantity of online travel reports has exploded in recent years, tourism managers and marketers cannot check all the entries potentially mentioning their product, enterprise or destination. The approach of the etBlogAnalysis project, which aims to provide a semi-automatic tool for this purpose, is described. This software includes routines for crawling, sentiment extraction and text categorisation. It combines robust linguistic parsing methodology with information and terminology extraction methods in order to determine polarity and power of expressions.


Virtual Communities Blogs Computational Linguistics Information Extraction Text Understanding Sentiment Analysis 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Berendt, B., & Draheim, M. (2007). The Image of Germany in the World, KI, 2007(3), 30–36.Google Scholar
  2. Carson, D., & Middleton, S. (2007). The ‘Blogosphere’ as a Market Research Tool for Tourism Destinations: a case study of Australia’s Northern Territory. In K. Waldhör (Ed.), Proceedings of the 1 st International Conference on Blogs in Tourism (pp. 14–37). Krems: Krems Research Forschungsgesellschaft.Google Scholar
  3. Dave, K., Lawrence, S., & Pennock, D. M. (2003). Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews. In G. Hencsey and B. White (Eds.), Proceedings of the 12th international conference on World Wide Web (pp. 519–528). New York: ACM Press.Google Scholar
  4. Douglas, A. C., & Mills, J. E. (2006). Logging Brand Personality Online: Website Content Analysis of Middle Eastern and North African Destinations. In M. Hitz, M. Sigala and J. Murphy (Eds.), Information and Communication Technologies in Tourism 2006 (p. 345). Vienna: Springer.CrossRefGoogle Scholar
  5. Esuli, A., & Sebastiani, F. (2006). SentiWordNet: A Publicly Available Lexical Resource for Opinion Mining. In N. Calzolari (Ed.), Proceedings of LREC-06 (pp. 417–422). Paris: ELDA.Google Scholar
  6. Esuli, A., & Sebastiani, F. (2007). PageRanking WordNet Synsets: An Application to Opinion Mining. In J. Carroll (Ed.), Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (pp. 424–431). East Stroudsburg, PA: ACLGoogle Scholar
  7. Hatzivassiloglou, V., & McKeown, K. R. (1997). Predicting the semantic orientation of adjectives. In P. Cohen and W. Wahlster (Eds.), Proceedings of the eighth conference on European chapter of the Association for Computational Linguistics (pp. 174–181). East Stroudsburg, PA: ACL.CrossRefGoogle Scholar
  8. Hoser, B., Schröder, J., Geyer-Schulz, A., Viermetz M., & Skubacz, M. (2007). Topic trend detection in newsgroups. KI, 2007(3), 37–40.Google Scholar
  9. Savourel, Y., & Reid, J. (2003). XLIFF 1.1 Specification. Retrieved August 6, 2007 from Scholar
  10. Sebastiani, F. (2002). Machine Learning in Automated Text Categorization. ACM Computing Surveys, 4(1), 1–47.CrossRefGoogle Scholar
  11. Stein, B., & Meyer S. (2007). Topic Identification. KI, 2007(3), 16–22.Google Scholar
  12. Turney, P. D. (2002). Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. In P. Isabelle (Ed.), Proceedings of the 40th Annual Meeting on Association for Computational Linguistics (pp. 417–424). East Stroudsburg, PA: ACLGoogle Scholar
  13. Turney, P. D., & Littman, M. L. (2003). Measuring praise and criticism: Inference of semantic orientation from association. ACM Trans. on Information Systems, 21(4), 315–346.CrossRefGoogle Scholar
  14. Waldhör, K. (2007). etBlogAnalysis — Analysing tourism Weblogs and forums using statistical and computer linguistic methods for quality control. In K. Waldhör (Ed.), Proceedings of the 1 st International Conference on Blogs in Tourism (pp. 110–134). Krems: Krems Research Forschungsgesellschaft.Google Scholar
  15. Wenger, A. (2007). Analysis of Travel Bloggers’ Characteristics and their Communication about Austria as a Tourism Destination. Unpublished master’s thesis, IMC Fachhochschule Krems, Krems.Google Scholar

Copyright information

© Springer-Verlag Wien 2008

Authors and Affiliations

  • Klemens Waldhör
    • 1
  • Alexander Rind
    • 1
  1. 1.Krems Research Forschungsgesellschaft mbHAustria

Personalised recommendations