Annotating and Identifying Emotions in Text

Description:

This book chapter discusses annotating and identifying emotions in text. 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.
Creator(s):
Creation Date: 2010  
Partner(s):
UNT College of Engineering
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Collection(s):
UNT Scholarly Works
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Usage:
Total Uses: 478
Past 30 days: 11
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Creator (Author):
Strapparava, Carlo

Human Language Technology Group; Fondazione Bruno Kessler

Annotating and Identifying Emotions in Text
Creator (Author):
Mihalcea, Rada

University of North Texas
Publisher Info:
Publisher Name: Springer-Verlag
Place of Publication: [Berlin, Heidelberg]
Original Creation Date: 2010  
Description:

This book chapter discusses annotating and identifying emotions in text. 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.
Degree:
Physical Description:

18 p.
Language(s):
Subject(s):
Keyword(s): lexical semantics | emotion analysis
Source: Intelligent Information Access, 2010. Berlin: Springer-Verlag, v. 301/2010, pp. 21-38.
Added Title: Intelligent Information Access
Partner:
UNT College of Engineering
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Collection:
UNT Scholarly Works
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Identifier:
  • DOI: 10.1007/978-3-642-14000-6_2
  • ARK: ark:/67531/metadc31010
Resource Type: Book Chapter
Format: Text
Rights:
Access: Public