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)


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.


Sentiment Analysis Polarity Assignment Lexical Resource Sentiment Lexicon Semantic Orientation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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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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