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Opinion Summarization of Web Comments

  • Martin Potthast
  • Steffen Becker
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5993)

Abstract

All kinds of Web sites invite visitors to provide feedback on comment boards. Typically, submitted comments are published immediately on the same page, so that new visitors can get an idea of the opinions of previous visitors. Popular multimedia items, such as videos and images, frequently get up to thousands of comments, which is too much to be read in reasonable time. I.e., visitors read, if at all, only the newest comments and hence get an incomplete and possibly misleading picture of the overall opinion. To address this issue we introduce OPINIONCLOUD, a technology to summarize and visualize opinions that are expressed in the form of Web comments.

References

  1. 1.
    Beineke, P., Hastie, T., Manning, C., Vaithyanathan, S.: An Exploration of Sentiment Summarization. In: Proc. of AAAI 2003 (2003)Google Scholar
  2. 2.
    Lerman, K., Blair-Goldensohn, S., McDonald, R.: Sentiment Summarization: Evaluating and Learning User Preferences. In: Proc. of EACL 2009 (2009)Google Scholar
  3. 3.
    Liu, B., Hu, M., Cheng, J.: Opinion Observer: Analyzing and Comparing Opinions on the Web. In: Proc. of WWW 2005 (2005)Google Scholar
  4. 4.
    Lu, Y., Zhai, C., Sundaresan, N.: Rated Aspect Summarization of Short Comments. In: Proc. of WWW 2009 (2009)Google Scholar
  5. 5.
    Mishne, G., Glance, N.: Leave a Reply: An Analysis of Weblog Comments. In: Proc. of WWE 2006 (2006)Google Scholar
  6. 6.
    Potthast, M.: Measuring the Descriptiveness of Web Comments. In: Proc. of SIGIR 2009 (2009)Google Scholar
  7. 7.
    Stone, P.J.: The General Inquirer: A Computer Approach to Content Analysis. MIT, Cambridge (1966)Google Scholar
  8. 8.
    Turney, P.D., Littman, M.L.: Measuring Praise and Criticism: Inference of Semantic Orientation from Association. ACM Trans. Inf. Syst. 21(4), 315–346 (2003)CrossRefGoogle Scholar
  9. 9.
    Yee, W.G., Yates, A., Liu, S., Frieder, O.: Are Web User Comments Useful for Search? In: Proc. of LSDS-IR 2009 (2009)Google Scholar
  10. 10.
    Zhuang, L., Jing, F., Zhu, X.Y.: Movie Review Mining and Summarization. In: Proc. of CIKM 2006 (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Martin Potthast
    • 1
  • Steffen Becker
    • 1
  1. 1.Bauhaus-Universität WeimarGermany

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