descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Report 01 Jan 2007Publisher:Association for Computational Linguistics (ACL)Journal:Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07

Authors: Strapparava C; Mihalcea R;

doi: 10.3115/1621474.1621487

handle: 11572/343321

SemEval-2007 task 14

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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.

Related Organizations

University of North Texas System
United States
University of Trento
Italy
University of North Texas
United States

Keywords

sentiment analysis, lexical resources, emotions, semantic relations

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