This paper describes experiments concerned with the automatic analysis of emotions in text. We describe the construction of a large data set annotated for six basic emotions: `anger`, `disgust`, `fear`, `joy`, `sadness` and `surprise`, and we propose and evaluate several knowledge-based and corpus-based methods for the automatic identification of these emotions in text.
Learning to Identify Emotions in Text / Strapparava, Carlo; Mihalcea, Rada. - (2008), pp. 1556-1560. (Intervento presentato al convegno 23rd Annual ACM Symposium on Applied Computing (ACM-SAC 2008) tenutosi a Fortaleza, Brasil nel 16/03/2008 - 20/03/2008).
Learning to Identify Emotions in Text
Carlo Strapparava;
2008-01-01
Abstract
This paper describes experiments concerned with the automatic analysis of emotions in text. We describe the construction of a large data set annotated for six basic emotions: `anger`, `disgust`, `fear`, `joy`, `sadness` and `surprise`, and we propose and evaluate several knowledge-based and corpus-based methods for the automatic identification of these emotions in text.File in questo prodotto:
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