Skip to main content

Opinion Summarization of Web Comments

  • Conference paper
Advances in Information Retrieval (ECIR 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5993))

Included in the following conference series:

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.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Beineke, P., Hastie, T., Manning, C., Vaithyanathan, S.: An Exploration of Sentiment Summarization. In: Proc. of AAAI 2003 (2003)

    Google Scholar 

  2. Lerman, K., Blair-Goldensohn, S., McDonald, R.: Sentiment Summarization: Evaluating and Learning User Preferences. In: Proc. of EACL 2009 (2009)

    Google Scholar 

  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. Lu, Y., Zhai, C., Sundaresan, N.: Rated Aspect Summarization of Short Comments. In: Proc. of WWW 2009 (2009)

    Google Scholar 

  5. Mishne, G., Glance, N.: Leave a Reply: An Analysis of Weblog Comments. In: Proc. of WWE 2006 (2006)

    Google Scholar 

  6. Potthast, M.: Measuring the Descriptiveness of Web Comments. In: Proc. of SIGIR 2009 (2009)

    Google Scholar 

  7. Stone, P.J.: The General Inquirer: A Computer Approach to Content Analysis. MIT, Cambridge (1966)

    Google Scholar 

  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)

    Article  Google Scholar 

  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. Zhuang, L., Jing, F., Zhu, X.Y.: Movie Review Mining and Summarization. In: Proc. of CIKM 2006 (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Potthast, M., Becker, S. (2010). Opinion Summarization of Web Comments. In: Gurrin, C., et al. Advances in Information Retrieval. ECIR 2010. Lecture Notes in Computer Science, vol 5993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12275-0_73

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-12275-0_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12274-3

  • Online ISBN: 978-3-642-12275-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics