Document-self expansion for text categorization

  • Authors:
  • Yuen-Hsien Tseng;Da-Wei Juang

  • Affiliations:
  • Fu Jen Catholic University, Taipei, Taiwan;Fu Jen Catholic University, Taipei, Taiwan

  • Venue:
  • Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
  • Year:
  • 2003

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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.