A Bootstrapping Method for Building Subjectivity Lexicons for Languages with Scarce Resources

Description:

This article discusses a bootstrapping method for building subjectivity lexicons for languages with scarce resources.

Creator(s):
Creation Date: May 2008
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
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Creator (Author):
Banea, Carmen

University of North Texas

Creator (Author):
Wiebe, Janyce M.

University of Pittsburgh

Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas

Publisher Info:
Place of Publication: [Paris, France]
Date(s):
  • Creation: May 2008
Description:

This article discusses a bootstrapping method for building subjectivity lexicons for languages with scarce resources.

Degree:
Note:

Abstract: This paper introduces a method for creating a subjectivity lexicon for languages with scarce resources. The method is able to build a subjectivity lexicon by using a small seed set of subjectivity words, and online dictionary, and a small raw corpus, coupled with a bootstrapping process that ranks new candidate words based on a similarity measure. Experiments performed with a rule-based sentence level subjectivity classifier show an 18% absolute improvement in F-measure as compared to previously proposed semi-supervised methods.

Physical Description:

4 p.

Language(s):
Subject(s):
Keyword(s): subjectivity lexicon | bootstrapping | natural language processing
Source: Sixth International Conference on Language Resources and Evaluations (LREC), 2008, Marrakech, Morocco
Contributor(s):
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc31002
Resource Type: Paper
Format: Text
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Access: Public