Annotating and Identifying Emotions in Text

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This book chapter discusses annotating and identifying emotions in text.

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18 p.

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Strapparava, Carlo, 1962- & Mihalcea, Rada, 1974- 2010.

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This chapter is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Engineering to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 1340 times , with 9 in the last month . More information about this chapter can be viewed below.

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This book chapter discusses annotating and identifying emotions in text.

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18 p.

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Abstract: This paper focuses on the classification of emotions and polarity in news headlines and it is meant as an exploration of the connection between emotions and lexical semantics. The authors first describe the construction of the data set used in evaluation exercise "Affective Text" task at SemEval 2007, annotated for six basic emotions: Anger, Disgust, Fear, Joy, Sadness, and Surprise, and for Positive and Negative polarity. The authors also briefly describe the participating systems and their results. Second, exploiting the same data set, the authors propose and evaluate several knowledge-based and corpus-based methods for the automatic identification of emotions in text.

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  • Intelligent Information Access, 2010. Berlin: Springer-Verlag, v. 301/2010, pp. 21-38.

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  • 2010

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  • Jan. 31, 2011, 2:01 p.m.

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  • Sept. 25, 2015, 1:06 p.m.

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Strapparava, Carlo, 1962- & Mihalcea, Rada, 1974-. Annotating and Identifying Emotions in Text, chapter, 2010; [Berlin, Germany]. (digital.library.unt.edu/ark:/67531/metadc31010/: accessed November 24, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.