skip to main content
10.3115/1220355.1220555dlproceedingsArticle/Chapter ViewAbstractPublication PagescolingConference Proceedingsconference-collections
Article
Free Access

Determining the sentiment of opinions

Authors Info & Claims
Published:23 August 2004Publication History

ABSTRACT

Identifying sentiments (the affective parts of opinions) is a challenging problem. We present a system that, given a topic, automatically finds the people who hold opinions about that topic and the sentiment of each opinion. The system contains a module for determining word sentiment and another for combining sentiments within a sentence. We experiment with various models of classifying and combining sentiment at word and sentence levels, with promising results.

References

  1. Aristotle. The Rhetorics and Poetics (trans. W. Rhys Roberts), Modern Library, 1954.Google ScholarGoogle Scholar
  2. Fellbaum, C., D. Gross, and K. Miller. 1993. Adjectives in WordNet. http://www.cosgi.princeton.edu/~wn.Google ScholarGoogle Scholar
  3. Hatzivassiloglou, V. and K. McKeown 1997. Predicting the Semantic Orientation of Adjectives. Proceedings of the 35th ACL conference, 174--181. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Miller, G. A., R. Beckwith, C. Fellbaum, D. Gross, and K. Miller. 1993. Introduction to WordNet: An On-Line Lexical Database. http://www.cosgi.princeton.edu/~wn.Google ScholarGoogle Scholar
  5. Pang, B. L. Lee, and S. Vaithyanathan, 2002. Thumbs up? Sentiment classification using Machine Learning Techniques. Proceedings of the EMNLP conference. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Perelman, C. 1970. The New Rhetoric: A Theory of Practical Reasoning. In The Great Ideas Today. Chicago: Encyclopedia Britannica.Google ScholarGoogle Scholar
  7. Riloff, E., J. Wiebe, and T. Wilson 2003. Learning Subjective Nouns Using Extraction Pattern Bootstrapping. Proceedings of the CoNLL-03 conference. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Siegel, S. and N. J. Castellan Jr. 1988. Nonparametric Statistics for the Behavioral Sciences. McGraw-Hill.Google ScholarGoogle Scholar
  9. Toulmin, S. E., R. Rieke, and A. Janik. 1979. An Introduction to Reasoning. Macmillan, New York.Google ScholarGoogle Scholar
  10. Toulmin, S. E. 2003. The Uses of Argument. Cambridge University Press.Google ScholarGoogle Scholar
  11. Turney, P. 2002. Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. Proceedings of the 40th Annual Meeting of the ACL, Philadelphia, 417--424. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Wallace, K. 1975. Topoi and the Problem of Invention. In W. Ross Winterowd (ed), Contemporary Rhetoric. Harcourt Brace Jovanovich.Google ScholarGoogle Scholar
  13. Wiebe, J. et al. 2002. NRRC summer study Jan Wiebe and group (University of Pittsburgh) on 'subjective' statements.Google ScholarGoogle Scholar
  14. Yu, H. and V. Hatzivassiloglou. 2003. Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences. Proceedings of the EMNLP conference. Google ScholarGoogle ScholarDigital LibraryDigital Library
  1. Determining the sentiment of opinions

      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 DL Hosted proceedings
        COLING '04: Proceedings of the 20th international conference on Computational Linguistics
        August 2004
        1411 pages

        Publisher

        Association for Computational Linguistics

        United States

        Publication History

        • Published: 23 August 2004

        Qualifiers

        • Article

        Acceptance Rates

        COLING '04 Paper Acceptance Rate1,411of1,411submissions,100%Overall Acceptance Rate1,537of1,537submissions,100%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader