Multi-labeled Chinese text categorization based on the boosting algorithms

  • Authors:
  • Zhan Wang;Minghu Jiang

  • Affiliations:
  • School of Computing, University of Utah, Salt Lake City, UT;Lab. of Computational Linguistics, Tsinghua University, Beijing, China

  • Venue:
  • ICNC'09 Proceedings of the 5th international conference on Natural computation
  • Year:
  • 2009

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Abstract

This paper proposes approaches for multilabeled text categorization based on the Boosting Algorithms. We discussed the performances of various feature selection methods for multi-labeled TC. Besides the multilabeled categorization, we also make efforts on ranking the labels assigned to the texts.