Reference Algorithm of Text Categorization Based on Fuzzy Cognitive Maps

  • Zhang Guiyun
  • Liu Yang
  • Zhang Weijuan
  • Wang Yuanyuan
Conference paper
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 228)


This paper introduces the reference theory and algorithm of text categorization by using fuzzy cognitive map(FCM), which is based on value inference and can be able to infer by combing rule and statistics. This method is flexible and robust, and we do not need train the corpus time after time, it is suitable to the text categorization of insufficiency training, new subject and multi-classification.

Key words

text categorization fuzzy cognitive map reference algorithm 


  1. 1.
    PANG Jianfeng, BU Dongbo, BAI Shuo Research and Implementation of Text Categorization System Based on VSM Application research of computers 2001,9:23–26Google Scholar
  2. 2.
    CHEN Ruifen Chinese text categorization algorithm combined with feedback Computer Applications 2005 Vol. 25 No. 12Google Scholar
  3. 3.
    Axelrod R. Structure of Decision: the Cognitive Maps of Political Elites. Princeton, NJ: Princeton University Press, 1976.Google Scholar
  4. 4.
    Kosko B. Fuzzy cognitive maps. Int. J. Man-machine Studies, 1986, 24: 65–75zbMATHCrossRefGoogle Scholar
  5. 5.
    Kosko B. Adaptive inference in fuzzy knowledge networks. In: Proc. 1st Int. Conf. Neural Networks. 1987. 2: 261–268Google Scholar
  6. 6.
    Wang Xiaolong, Guan Yi Compter Natural Language Processing Tsinghua Press 2005, pp. 146–154Google Scholar
  7. 7.
    YE Hao, WANG Mingwen, ZENG Xueqiang Automatic text multi-classification model based on latent semantic Tsinghua Univ (Sci & Tech), 2005, Vol. 45, No. S1: 1818–1822Google Scholar
  8. 8.
    Luo Xiangfeng, Cognitive map theory and its applications in image analysis and under? standing, dissertation of Ph. D,Hefei University of Technology, P. R. China, April 2003Google Scholar
  9. 9.
    Lu Song Li Xiaoli, Bai Shuo, Wang Shi An Improved Approach to Weighting Terms in Text JOURNAL OF CHINESE INFORMATION PROCESSING Vol. 14 No. 6:8–13,20Google Scholar
  10. 10.
    Zhang Dong li, Wang Dongsheng, Zheng Weimin Chinese text classification system based on VSM J T singhua Univ (Sci & Tech), 2003, Vol. 43, No. 9:1288–1291Google Scholar
  11. 11.
    Liu Yunfeng, Qi Huan, Xiangen Hu, Zhiqiang Cai A Modified Weight Function in Latent Semantic Analysis JOURNAL OF CHINESE INFORMATION PROCESSING Vol119Nol6:64–69Google Scholar
  12. 12.
    Chen Zhigang He Pilian Research and Implementation of Text Categorization System Based on VSM Computer Applications 2004, Vol. 24. 277–279Google Scholar
  13. 13.
    LU Jiaoli, ZHENG Jiaheng The Research of Text Categorization Based on Rough Set JOURNAL OF CHINESE INFORMATION PROCESSING Vol 119 No 12:66–69Google Scholar
  14. 14.
    Sheng Xiaowei Jiang Minghu Automatic Classification of Chinnese Documents Based on Rough Set and Improved Quick-Reduce Algorithm Journal of Electronics & Information Technology 2005, Vol27 No7: 1047–1052Google Scholar
  15. 15.
    Demetrius A. Georgiou, Despina Makry. A Learner’s Style and Profile Recognition via Fuzzy Cognitive Map. Proceedings of the IEEE International Conference on Advanced Learning Technologies (ICALT’04) 2004 0-7695-2181-9/04Google Scholar

Copyright information

© International Federation for Information Processing 2006

Authors and Affiliations

  • Zhang Guiyun
    • 1
  • Liu Yang
    • 1
  • Zhang Weijuan
    • 1
  • Wang Yuanyuan
    • 1
  1. 1.Computer and Information Engineering CollegeTianjin Normal UniversityTianjin

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