Annotating and Identifying Emotions in Text

PDF Version Also Available for Download.

Description

This book chapter discusses annotating and identifying emotions in text.

Physical Description

18 p.

Creation Information

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

Context

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 1419 times , with 12 in the last month . More information about this chapter can be viewed below.

Who

People and organizations associated with either the creation of this chapter or its content.

Authors

Publisher

Provided By

UNT College of Engineering

The UNT College of Engineering strives to educate and train engineers and technologists who have the vision to recognize and solve the problems of society. The college comprises six degree-granting departments of instruction and research.

Contact Us

What

Descriptive information to help identify this chapter. Follow the links below to find similar items on the Digital Library.

Degree Information

Description

This book chapter discusses annotating and identifying emotions in text.

Physical Description

18 p.

Notes

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.

Source

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

Language

Item Type

Identifier

Unique identifying numbers for this chapter in the Digital Library or other systems.

Collections

This chapter is part of the following collection of related materials.

UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

What responsibilities do I have when using this chapter?

When

Dates and time periods associated with this chapter.

Creation Date

  • 2010

Added to The UNT Digital Library

  • Jan. 31, 2011, 2:01 p.m.

Description Last Updated

  • Sept. 25, 2015, 1:06 p.m.

Usage Statistics

When was this chapter last used?

Yesterday: 0
Past 30 days: 12
Total Uses: 1,419

Interact With This Chapter

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

International Image Interoperability Framework

IIF Logo

We support the IIIF Presentation API

Strapparava, Carlo, 1962- & Mihalcea, Rada, 1974-. Annotating and Identifying Emotions in Text, chapter, 2010; [Berlin, Germany]. (digital.library.unt.edu/ark:/67531/metadc31010/: accessed September 21, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.