skip to main content
10.1145/1964858.1964867acmconferencesArticle/Chapter ViewAbstractPublication PageskddConference Proceedingsconference-collections
research-article

Identifying breakpoints in public opinion

Published:25 July 2010Publication History

ABSTRACT

While polls are traditionally used for observing public opinion, they provide a point snapshot, not a continuum. We consider the problem of identifying breakpoints in public opinion, and propose using micro-blogging sites to capture trends in public opinion. We develop methods to detect changes in public opinion, and find events that cause these changes.

Our experiments show that the proposed methods are able to determine changes in public opinion and extract the major news about the events effectively. We also deploy an application where users can view the important news stories for a continuing event and find the related articles on web.

References

  1. M. A. Bayir, I. H. Toroslu, A. Cosar, and G. Fidan. Smart miner: a new framework for mining large scale web usage data. In WWW, pages 161--170, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. M. W. Berry, editor. Survey of text mining: clustering, classification, and retrieval. Springer, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. H. Cao, D. Jiang, J. Pei, Q. He, Z. Liao, E. Chen, and H. Li. Context-aware query suggestion by mining click-through and session data. In KDD, pages 875--883, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. K. Dave, S. Lawrence, and D. M. Pennock. Mining the peanut gallery: opinion extraction and semantic classification of product reviews. In WWW, pages 519--528, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. J. Dean and S. Ghemawat. Mapreduce: Simplified data processing on large clusters. In OSDI, pages 137--150, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. N. Diakopoulos and D. A. Shamma. Characterizing debate performance via aggregated twitter sentiment. In Conference on Human Factors in Computing Systems (CHI), April 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. A. Java, X. Song, T. Finin, and B. Tseng. Why we twitter: understanding microblogging usage and communities. In Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis, pages 56--65. ACM, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. W. Jin, H. H. Ho, and R. K. Srihari. Opinionminer: a novel machine learning system for web opinion mining and extraction. In KDD, pages 1195--1204, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. L. Ku, Y. Liang, and H. Chen. Opinion extraction, summarization and tracking in news and blog corpora. In Proceedings of AAAI-2006 Spring Symposium on Computational Approaches to Analyzing Weblogs, pages 100--107, 2006.Google ScholarGoogle Scholar
  10. H. Kwak, C. Lee, H. Park, and S. B. Moon. What is twitter, a social network or a news media? In WWW, pages 591--600, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. B. Pang and L. Lee. Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2(1--2):1--135, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. W. G. Parrott, editor. Emotions in social psychology: essential readings. Psychology Press, 2001.Google ScholarGoogle Scholar
  13. A. Popescu and O. Etzioni. Extracting product features and opinions from reviews. In EMNLP-05, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. P. D. Turney. Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews. In ACL, pages 417--424, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. L. Zhuang, F. Jing, X.-Y. Zhu, and L. Zhang. Movie review mining and summarization. In CIKM-06, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Identifying breakpoints in public opinion

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          SOMA '10: Proceedings of the First Workshop on Social Media Analytics
          July 2010
          145 pages
          ISBN:9781450302173
          DOI:10.1145/1964858

          Copyright © 2010 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 25 July 2010

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article

          Upcoming Conference

          KDD '24

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader