skip to main content
10.1145/1963192.1963262acmotherconferencesArticle/Chapter ViewAbstractPublication PageswwwConference Proceedingsconference-collections
poster

A non-syntactic approach for text sentiment classification with stopwords

Published:28 March 2011Publication History

ABSTRACT

The present approach uses stopwords and the gaps that occur between successive stopwords -formed by contentwords- as features for sentiment classification.

References

  1. D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. J. Mach. Learn. Res., 3:993--1022, March 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. F. Mosteller and D. L. Wallace. Inference and disputed authorship : the Federalist / {by} Frederick Mosteller {and} David L. Wallace. Addison-Wesley, Reading, Mass. :, 1964.Google ScholarGoogle Scholar
  3. P. D. Turney. Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews. In Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, ACL '02, pages 417--424, Morristown, NJ, USA, 2002. Association for Computational Linguistics. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. A non-syntactic approach for text sentiment classification with stopwords

    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

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader