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

  • Authors:
  • Tai-Yue Wang;Huei-Min Chiang

  • Affiliations:
  • Department of Industrial and Information Management, National Cheng Kung University, 1 University Road, Tainan 70101, Taiwan, ROC;Department of Industrial and Information Management, National Cheng Kung University, 1 University Road, Tainan 70101, Taiwan, ROC

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2009

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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.