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Expanding Opinion Attribute Lexicons

  • Aleksander Wawer
  • Konrad Gołuchowski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7499)

Abstract

The article focuses on acquiring new vocabulary used to express opinion attributes. We apply two automated expansion techniques to a manually annotated corpus of attribute-level opinions. The first method extracts opinion attribute words using patterns. It has been augmented by the second, wordnet and similarity-based expansion procedure. We examine the types of errors and shortcomings of both methods and end up proposing two hybrid, machine learning approaches that utilise all the available information: rules, lexical and distributional. One of them proves highly successful.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Aleksander Wawer
    • 1
  • Konrad Gołuchowski
    • 1
  1. 1.Institute of Computer SciencePolish Academy of ScienceWarszawaPoland

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