Learning to Identify Emotions in Text

Description:

This paper discusses learning to identify emotions in text.

Creator(s):
Creation Date: March 2008
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
Usage:
Total Uses: 911
Past 30 days: 65
Yesterday: 5
Creator (Author):
Strapparava, Carlo, 1962-

Fondazione Bruno Kessler (FBK)-IRST

Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas

Publisher Info:
Place of Publication: [New York, New York]
Date(s):
  • Creation: March 2008
Description:

This paper discusses learning to identify emotions in text.

Degree:
Note:

Abstract: This paper describes experiments concerned with the automatic analysis of emotions in text. We describe the construction of a large data set annotated for six basic emotions: Anger, Disgust, Fear, Joy, Sadness, and Surprise, and we propose and evaluate several knowledge-based and corpus-based methods for the automatic identification of these emotions in text.

Physical Description:

5 p.

Language(s):
Subject(s):
Keyword(s): natural language processing | text analysis | emotion annotations | emotion analysis | sentiment analysis
Source: Twenty-Third Annual Symposium on Applied Computing (ACM-SAC), 2008, CearĂ¡, Brazil
Contributor(s):
  • Organizer of meeting : SIGAPP
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc31005
Resource Type: Paper
Format: Text
Rights:
Access: Public