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Polarity Preference of Verbs: What Could Verbs Reveal about the Polarity of Their Objects?

  • Manfred Klenner
  • Stefanos Petrakis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7337)

Abstract

The current endeavour focuses on the notion of positive versus negative polarity preference of verbs for their direct objects. This preference has to be distinguished from a verb’s own prior polarity - for the same verb, these two properties might even be inverse. Polarity preferences of verbs are extracted on the basis of a large and dependency-parsed corpus by means of statistical measures. We observed verbs with a relatively clear positive or negative polarity preference, as well as cases of verbs where positive and negative polarity preference is balanced (we call these bipolar-preference verbs). Given clear-cut polarity preferences of a verb, nouns, whose polarity is yet unknown, can now be classified. We reached a lower bound of 81% precision in our experiments, whereas the upper bound goes up to 92%.

Keywords

sentiment analysis polarity inference data mining 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Manfred Klenner
    • 1
  • Stefanos Petrakis
    • 1
  1. 1.Institute for Computational LinguisticsUniversity of ZurichSwitzerland

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