Comparative experiments on sentiment classification for online product reviews

  • Authors:
  • Hang Cui;Vibhu Mittal;Mayur Datar

  • Affiliations:
  • Department of Computer Science, School of Computing, National University of Singapore;Google Inc.;Google Inc.

  • Venue:
  • AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
  • Year:
  • 2006

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Abstract

Evaluating text fragments for positive and negative subjective expressions and their strength can be important in applications such as single- or multi- document summarization, document ranking, data mining, etc. This paper looks at a simplified version of the problem: classifying online product reviews into positive and negative classes. We discuss a series of experiments with different machine learning algorithms in order to experimentally evaluate various trade-offs, using approximately 100K product reviews from the web.