Utility scoring of product reviews

  • Authors:
  • Zhu Zhang;Balaji Varadarajan

  • Affiliations:
  • University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ

  • Venue:
  • CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
  • Year:
  • 2006

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Abstract

We identify a new task in the ongoing research in text sentiment analysis: predicting utility of product reviews, which is orthogonal to polarity classification and opinion extraction. We build regression models by incorporating a diverse set of features, and achieve highly competitive performance for utility scoring on three real-world data sets.