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Extracting Product Features and Opinions from Reviews

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Book cover Natural Language Processing and Text Mining

Abstract

which are expressed in newsgroup posts, review sites, and elsewhere. As a result, the problem of “opinion mining” has seen increasing attention over the past three years from [1], [2] and many others. This chapter focuses on product reviews, though we plan to extend our methods to a broader range of texts and opinions.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Washington, Seattle, WA, 98125-2350, USA

    Ana-Maria Popescu & Orena Etzioni

Authors
  1. Ana-Maria Popescu
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  2. Orena Etzioni
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Editor information

Editors and Affiliations

  1. Bellevue, WA, 98008, USA

    Anne Kao BA, MA, MS, PhD  & Stephen R. Poteet BA, MA, CPhil  & 

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© 2007 Springer-Verlag London Limited

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Popescu, AM., Etzioni, O. (2007). Extracting Product Features and Opinions from Reviews. In: Kao, A., Poteet, S.R. (eds) Natural Language Processing and Text Mining. Springer, London. https://doi.org/10.1007/978-1-84628-754-1_2

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  • DOI: https://doi.org/10.1007/978-1-84628-754-1_2

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84628-175-4

  • Online ISBN: 978-1-84628-754-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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