SemEval-2007 task 14

著者: Carlo Strapparava, Rada Mihalcea - Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07 2007 被引用: 603

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.