Application of ACO-SVM in Chinese Text Feature Selection

Jin Xiu Cui; Xiao Xia Huang

doi:10.4028/www.scientific.net/AMM.155-156.770

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 155-156Application of ACO-SVM in Chinese Text Feature...

Application of ACO-SVM in Chinese Text Feature Selection

Abstract:

The algorithm proposed in this paper applies ACO in combination with support vector machine (SVM) in Chinese text feature selection. It obtains classifier models for each category at last. The experimental results show that the proposed method is feasible and lead to a considerable increase of classification accuracy.

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Periodical:

Applied Mechanics and Materials (Volumes 155-156)

Pages:

770-775

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.155-156.770

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Online since:

February 2012

Authors:

Jin Xiu Cui, Xiao Xia Huang

Keywords:

Ant Colony Optimization (ACO), Chinese Text Feature Selection, Support Vector Machine (SVM), Text Classification

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