Subjectivity Word Sense Disambiguation Metadata

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Title

  • Main Title Subjectivity Word Sense Disambiguation

Creator

  • Author: Akkaya, Cem
    Creator Type: Personal
    Creator Info: University of Pittsburgh
  • Author: Wiebe, Janyce M.
    Creator Type: Personal
    Creator Info: University of Pittsburgh
  • Author: Mihalcea, Rada, 1974-
    Creator Type: Personal
    Creator Info: University of North Texas

Contributor

  • Organizer of meeting: Association for Computational Linguistics
    Contributor Type: Organization
  • Organizer of meeting: Asian Federation of Natural Language Processing
    Contributor Type: Organization

Date

  • Creation: 2009-08

Language

  • English

Description

  • Content 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.
  • Physical Description: 10 p.

Subject

  • Keyword: word sense disambiguation
  • Keyword: subjectivity analysis
  • Keyword: objectivity
  • Keyword: lexicons

Source

  • Conference: Conference on Empirical Methods in Natural Language Processing (EMNLP), August 6-7, 2009. Singapore

Collection

  • Name: UNT Scholarly Works
    Code: UNTSW

Institution

  • Name: UNT College of Engineering
    Code: UNTCOE

Rights

  • Rights Access: public

Resource Type

  • Paper

Format

  • Text

Identifier

  • Archival Resource Key: ark:/67531/metadc31016

Degree

  • Academic Department: Computer Science and Engineering

Note

  • Display 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.
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