One-against-one fuzzy support vector machine classifier: An approach to text categorization

Tai Yue Wang, Huei Min Chiang

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)

Abstract

The growth of the internet information delivery has made automatic text categorization essential. This investigation explores the challenges of multi-class text categorization using one-against-one fuzzy support vector machine with Reuter's news as the example data. The performances of four different membership functions on one-against-one fuzzy support vector machine are measured using the macro-average performance indices. Analytical results indicate that the proposed method achieves a comparable or better performance than the one-against-one support vector machine.

Original languageEnglish
Pages (from-to)10030-10034
Number of pages5
JournalExpert Systems With Applications
Volume36
Issue number6
DOIs
Publication statusPublished - 2009 Aug 1

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

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