Subjectivity Word Sense Disambiguation

Description:

This paper investigates a new task, subjectivity word sense disambiguation (SWSD), which is to automatically determine which word instances in a corpus are being used with subjective senses, and which are being used with objective senses.

Creator(s):
Creation Date: August 2009
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
Usage:
Total Uses: 48
Past 30 days: 7
Yesterday: 1
Creator (Author):
Akkaya, Cem

University of Pittsburgh

Creator (Author):
Wiebe, Janyce M.

University of Pittsburgh

Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas

Date(s):
  • Creation: August 2009
Description:

This paper investigates a new task, subjectivity word sense disambiguation (SWSD), which is to automatically determine which word instances in a corpus are being used with subjective senses, and which are being used with objective senses.

Degree:
Note:

Abstract: This paper investigates a new task, subjectivity word sense disambiguation (SWSD), which is to automatically determine which word instances in a corpus are being used with subjective senses, and which are being used with objective senses. We provide empirical evidence that SWSD is more feasible than full word sense disambiguation, and that it can be exploited to improve the performance of contextual subjectivity and sentiment analysis systems.

Physical Description:

10 p.

Language(s):
Subject(s):
Keyword(s): word sense disambiguation | subjectivity analysis | objectivity | lexicons
Source: Conference on Empirical Methods in Natural Language Processing (EMNLP), 2009, Singapore
Contributor(s):
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc31016
Resource Type: Paper
Format: Text
Rights:
Access: Public