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This paper discusses learning to identify emotions in text.
Physical Description
5 p.
Notes
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.
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Strapparava, Carlo, 1962- & Mihalcea, Rada, 1974-.Learning to Identify Emotions in Text,
paper,
March 2008;
[New York, New York].
(https://digital.library.unt.edu/ark:/67531/metadc31005/:
accessed December 4, 2023),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT College of Engineering.
