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Generating Domain-Specific Sentiment Lexicons for Opinion Mining

  • Zaher Salah
  • Frans Coenen
  • Davide Grossi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8346)

Abstract

Two approaches to generating domain-specific sentiment lexicons are proposed: (i) direct generation and (ii) adaptation. The first is founded on the idea of generating a dedicated lexicon directly from labelled source data. The second approach is founded on the idea of using an existing general purpose lexicon and adapting this so that it becomes a specialised lexicon with respect to some domain. The operation of the two approaches is illustrated using a political opinion mining domain and evaluated using a large corpus of labelled political speeches extracted from political debates held within the UK Houses of Commons.

Keywords

Domain-Specific Sentiment Lexicons Opinion Mining Sentiment Analysis 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Zaher Salah
    • 1
  • Frans Coenen
    • 1
  • Davide Grossi
    • 1
  1. 1.Department of Computer ScienceUniversity of LiverpoolLiverpoolUnited Kingdom

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