Extracting Product Features and Opinions from Reviews

  title={Extracting Product Features and Opinions from Reviews},
  author={Ana-Maria Popescu and Oren Etzioni},
Consumers are often forced to wade through many on-line reviews in order to make an informed product choice. This paper introduces OPINE, an unsupervised informationextraction system which mines reviews in order to build a model of important product features, their evaluation by reviewers, and their relative quality across products. Compared to previous work, OPINE achieves 22% higher precision (with only 3% lower recall) on the feature extraction task.OPINE’s novel use of relaxation… CONTINUE READING
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  • Compared to previous work, OPINE achieves 22% higher precision (with only 3% lower recall) on the feature extraction task.


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