EMOCause: an easy-adaptable approach to emotion cause contexts

  • Authors:
  • Irene Russo;Tommaso Caselli;Francesco Rubino;Ester Boldrini;Patricio Martínez-Barco

  • Affiliations:
  • ILC "A.Zampolli" -- CNR, Via G. Moruzzi, Pisa;ILC "A.Zampolli" -- CNR, Via G. Moruzzi, Pisa;ILC "A.Zampolli" -- CNR, Via G. Moruzzi, Pisa;DSLI -- University of Alicante, Ap. de Correos, Alicante;DSLI -- University of Alicante, Ap. de Correos, Alicante

  • Venue:
  • WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
  • Year:
  • 2011

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Abstract

In this paper we present a method to automatically identify linguistic contexts which contain possible causes of emotions or emotional states from Italian newspaper articles (La Repubblica Corpus). Our methodology is based on the interplay between relevant linguistic patterns and an incremental repository of common sense knowledge on emotional states and emotion eliciting situations. Our approach has been evaluated with respect to manually annotated data. The results obtained so far are satisfying and support the validity of the methodology proposed.