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An Optimal SVM-Based Text Classification Algorithm

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4 Author(s)
Zi-Qiang Wang ; Sch. of Inf. & Eng., Henan Univ. of Technol., Zhengzhou ; Xia Sun ; De-xian Zhang ; Xin Li

The goal of a text classification system is to determine whether a given document belongs to which of the predefined categories. An optimal SVM algorithm for text classification via multiple optimal strategies is proposed in this paper. The experimental results indicate that the proposed optimal classification algorithm yields much better performance than other conventional algorithms

Published in:

Machine Learning and Cybernetics, 2006 International Conference on

Date of Conference:

13-16 Aug. 2006