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New Technology of Library and Information Service  2008, Vol. 24 Issue (11): 44-48    DOI: 10.11925/infotech.1003-3513.2008.11.09
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A Feature Selection Method for Text Classification Based on Statistical Frequency
Zhang Junli  Zhao Naixuan  Feng Jun 
(Library of Nanjing University of Technology, Nanjing 210009, China)
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This paper analyzes Chi-square algorithm (CHI), which is unreliable for low-document frequency, and can’t show the pertinence for term and classification. A new Statistical Frequency algorithm (SF) is proposed according to the chief shortcomings. The experiments of the SF algorithm is validated by comparison, the results show that improved algorithm performs better.

Key wordsText categorization      Feature selection      KNN      Chi-square     
Received: 13 August 2008      Published: 25 November 2008


Corresponding Authors: Zhang Junli     E-mail:
About author:: Zhang Junli,Zhao Naixuan,Feng Jun

Cite this article:

Zhang Junli,Zhao Naixuan,Feng Jun . A Feature Selection Method for Text Classification Based on Statistical Frequency. New Technology of Library and Information Service, 2008, 24(11): 44-48.

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