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Stemming Algorithm to Classify Arabic Documents 被引量:1

Stemming Algorithm to Classify Arabic Documents
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出处 《通讯和计算机(中英文版)》 2010年第9期1-5,共5页 Journal of Communication and Computer
关键词 阿拉伯语 机密文件 文本分类 算法 分类系统 文件分类 阿拉伯文 实验数据 Machine learning, automatic document classification, stemming, keywords extraction
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参考文献8

  • 1M.E. Kourdi, A. Bensaid, T.E. Rachidi, Automatic Arabic document categorization based on the naive bayes algorithm, Thesis, School of Science & Engineering Alakhawayn University, Morocco.
  • 2M. Aery, Adapting graph mining techniques for document classification, Master's Thesis, December 2004.
  • 3A. Almuhareb, A. A1-Thubaity, M.S. Khorsheed, A. A1-Rajeh, S. AI-Harbi, Automatic Arabic text classification, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia.
  • 4M.M. Syiam, Z.T. Fayed, M.B. Habib, An intelligent system for Arabic text categorization, IJICIS, January 2006.
  • 5H. Sawaf, J. Zaplo, H. Ney, Statistical Classification Methods for Arabic News Articles, available online at: http://www.elsnet.org/arabic200 l/sawaf.pdf, 2001.
  • 6A.M. EI-Halees, Arabic Text Classification Using Maximum Entropy, available online at: http//www.iugzaza.edu.ps/ara/research, 2007, pp. 157-167.
  • 7W.B. Frakes, J. Christopher, Fox strength and similarity of affix removal stemming algorithms 2003.
  • 8Chen, F. Gey, Building an Arabic Stemmer for Information Retrieval, University of California at Berkeley, TREC, 2002.

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