SemEval-2007 Task 14: Affective Text

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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, the authors describe the data set used in the evaluation and the results obtained by the participating systems.

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5 p.

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Strapparava, Carlo, 1962- & Mihalcea, Rada, 1974- June 2007.

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This paper 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 487 times . More information about this paper can be viewed below.

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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, the authors describe the data set used in the evaluation and the results obtained by the participating systems.

Physical Description

5 p.

Notes

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, the authors describe the data set used in the evaluation and the results obtained by the participating systems.

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  • Fourth International Workshop on the Semantic Evaluations, 2007, Prague, Czech Republic

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  • June 2007

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  • Jan. 31, 2011, 2:01 p.m.

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  • April 28, 2014, 2:14 p.m.

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Strapparava, Carlo, 1962- & Mihalcea, Rada, 1974-. SemEval-2007 Task 14: Affective Text, paper, June 2007; [Stroudsburg, Pennsylvania]. (digital.library.unt.edu/ark:/67531/metadc30995/: accessed September 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.