A survey on the role of negation in sentiment analysis

  • Authors:
  • Michael Wiegand;Alexandra Balahur;Benjamin Roth;Dietrich Klakow;Andrés Montoyo

  • Affiliations:
  • Saarland University, Saarbrücken, Germany;University of Alicante, Alicante, Spain;Saarland University, Saarbrücken, Germany;Saarland University, Saarbrücken, Germany;University of Alicante, Alicante, Spain

  • Venue:
  • NeSp-NLP '10 Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
  • Year:
  • 2010

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Abstract

This paper presents a survey on the role of negation in sentiment analysis. Negation is a very common linguistic construction that affects polarity and, therefore, needs to be taken into consideration in sentiment analysis. We will present various computational approaches modeling negation in sentiment analysis. We will, in particular, focus on aspects, such as level of representation used for sentiment analysis, negation word detection and scope of negation. We will also discuss limits and challenges of negation modeling on that task.