SemEval-2007 task 14: affective text

  • Authors:
  • Carlo Strapparava;Rada Mihalcea

  • Affiliations:
  • Istituto per la Ricerca Scientifica e Tecnologica, Povo, Trento, Italy;University of North Texas, Denton, TX

  • Venue:
  • SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
  • Year:
  • 2007

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Abstract

The "Affective Text" task focuses on the classification of emotions and valence (positive/negative polarity) in news headlines, and is meant as an exploration of the connection between emotions and lexical semantics. In this paper, we describe the data set used in the evaluation and the results obtained by the participating systems.