Annotating and Identifying Emotions in Text Metadata
Metadata describes a digital item, providing (if known) such information as creator, publisher, contents, size, relationship to other resources, and more. Metadata may also contain "preservation" components that help us to maintain the integrity of digital files over time.
- Main Title Annotating and Identifying Emotions in Text
Author: Strapparava, Carlo, 1962-Creator Type: PersonalCreator Info: Human Language Technology Group; Fondazione Bruno Kessler
Author: Mihalcea, Rada, 1974-Creator Type: PersonalCreator Info: University of North Texas
Name: Springer-VerlagPlace of Publication: [Berlin, Germany]
- Creation: 2010
- Content Description: This book chapter discusses annotating and identifying emotions in text.
- Physical Description: 18 p.
- Keyword: lexical semantics
- Keyword: emotion analysis
- Book: Intelligent Information Access, 2010. Berlin: Springer-Verlag, v. 301/2010, pp. 21-38.
Name: UNT Scholarly WorksCode: UNTSW
Name: UNT College of EngineeringCode: UNTCOE
- Rights Access: public
- Book Chapter
- DOI: 10.1007/978-3-642-14000-6_2
- Archival Resource Key: ark:/67531/metadc31010
- Academic Department: Computer Science and Engineering
- Display Note: 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.