OpinionFinder: a system for subjectivity analysis

  • Authors:
  • Theresa Wilson;Paul Hoffmann;Swapna Somasundaran;Jason Kessler;Janyce Wiebe;Yejin Choi;Claire Cardie;Ellen Riloff;Siddharth Patwardhan

  • Affiliations:
  • University of Pittsburgh, Pittsburgh, PA;University of Pittsburgh, Pittsburgh, PA;University of Pittsburgh, Pittsburgh, PA;University of Pittsburgh, Pittsburgh, PA;University of Pittsburgh, Pittsburgh, PA;Cornell University, Ithaca, NY;Cornell University, Ithaca, NY;University of Utah, Salt Lake City, UT;University of Utah, Salt Lake City, UT

  • Venue:
  • HLT-Demo '05 Proceedings of HLT/EMNLP on Interactive Demonstrations
  • Year:
  • 2005

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Abstract

OpinionFinder is a system that performs subjectivity analysis, automatically identifying when opinions, sentiments, speculations, and other private states are present in text. Specifically, OpinionFinder aims to identify subjective sentences and to mark various aspects of the subjectivity in these sentences, including the source (holder) of the subjectivity and words that are included in phrases expressing positive or negative sentiments.