In order to solve the problem of artificial text classification, text mining on the Web text classification studied in the proposed SVM model using Web text classification, and introduces a new kernel function, effectively reducing the classification of surface complexity, improve the classification accuracy of feature extraction process to solve the nonlinear problem. Through a classification experiments show that the method is effective. © 2011 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Shan, C. (2011). Research of support vector machine in text classification. In Advances in Intelligent and Soft Computing (Vol. 119, pp. 567–573). https://doi.org/10.1007/978-3-642-25538-0_79
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