Document-Self Expansion for Text Categorization

Yuen-Hsien Tseng, Da Wei Juang

Research output: Contribution to journalConference article

3 Citations (Scopus)

Abstract

Approaches to increase training examples to hopefully improve classification effectiveness are proposed in this work. The approaches were verified by use of two Chinese collections classified by two top-performing classifiers.

Original languageEnglish
Pages (from-to)399-400
Number of pages2
JournalSIGIR Forum (ACM Special Interest Group on Information Retrieval)
Issue numberSPEC. ISS.
Publication statusPublished - 2003 Dec 1
EventProceedings of the Twenty-Sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2003 - Toronto, Ont., Canada
Duration: 2003 Jul 282003 Aug 1

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Classifiers
Text categorization
Classifier

Keywords

  • And effectiveness
  • Document expansion
  • Text categorization

ASJC Scopus subject areas

  • Management Information Systems
  • Hardware and Architecture

Cite this

Document-Self Expansion for Text Categorization. / Tseng, Yuen-Hsien; Juang, Da Wei.

In: SIGIR Forum (ACM Special Interest Group on Information Retrieval), No. SPEC. ISS., 01.12.2003, p. 399-400.

Research output: Contribution to journalConference article

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