article · Computer Engineering and Applications Journal · 2011

Study on Improved CHI for feature selection in Chinese text categorization

Cited by 10Abstract and details only

Abstract

This paper analyzes the factors which influence the CHI categorization accuracy and removes the negative correlation between the items and the category.The improved approach is applied to weight adjustment,obviously improving categorization quality.Furthermore,concentration information,distribution information and frequency information are introduced into the improved approach,which increases the categorization accuracy on the corpus of category uneven distribution.The experimental results verify the efficiency and probability of the improved CHI approach.

Cite this paper

APA 7

Yingbo, P., & Liu, X. (2011). Study on Improved CHI for feature selection in Chinese text categorization. Computer Engineering and Applications Journal, 47(4).

MLA 9

Yingbo, Pei, and Xiaoxia Liu. “Study on Improved CHI for feature selection in Chinese text categorization.” Computer Engineering and Applications Journal, vol. 47, no. 4, 2011.

Chicago

Yingbo, Pei, and Xiaoxia Liu. 2011. “Study on Improved CHI for feature selection in Chinese text categorization.” Computer Engineering and Applications Journal 47 (4).

Harvard

Yingbo, P. and Liu, X. (2011) ‘Study on Improved CHI for feature selection in Chinese text categorization’, Computer Engineering and Applications Journal, 47(4).

BibTeX

@article{yingbo2011study,
  title = {{Study on Improved CHI for feature selection in Chinese text categorization}},
  author = {Yingbo, Pei and Liu, Xiaoxia},
  journal = {Computer Engineering and Applications Journal},
  volume = {47},
  number = {4},
  year = {2011}
}

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