J4 ›› 2013, Vol. 48 ›› Issue (11): 99-104.

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A space-time-efficient multi-category text categorization algorithm

LIU Wu-ying, YI Mian-zhu, ZHANG Xing   

  • Received:2013-09-02 Online:2013-11-20 Published:2013-11-25

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Abstract:

Low space-time complexity is always the expected performance of multi-category text categorization algorithms. The investigation of token frequency distribution in the set of news documents validates that the token frequency distribution obeys the ubiquitous power law. According to the distribution property of power law, a novel data structure of multi-category token frequency index is designed and based on which a multi-category text categorization algorithm with low space-time complexity is propose. The experimental results on the TanCorp data set show that the proposed algorithm is space-time-efficient in the application of multi-category news document categorization.

Key words: multi-category text categorization; algorithm complexity; multi-category Token frequency index; power law; news document

CLC Number: 

  • TP391
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