Building a Sentiment Lexicon for Social Judgement Mining

  • Mário J. Silva
  • Paula Carvalho
  • Luís Sarmento
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7243)

Abstract

We present a methodology for automatically enlarging a Portuguese sentiment lexicon for mining social judgments from text, i.e., detecting opinions on human entities. Starting from publicly-availabe language resources, the identification of human adjectives is performed through the combination of a linguistic-based strategy, for extracting human adjective candidates from corpora, and machine learning for filtering the human adjectives from the candidate list. We then create a graph of the synonymic relations among the human adjectives, which is built from multiple open thesauri. The graph provides distance features for training a model for polarity assignment. Our initial evaluation shows that this method produces results at least as good as the best that have been reported for this task.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Mário J. Silva
    • 1
  • Paula Carvalho
    • 2
  • Luís Sarmento
    • 3
  1. 1.IST/INESC-IDLisboaPortugal
  2. 2.INESC-IDLisboaPortugal
  3. 3.Portugal TelecomSAPOPortugal

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