Abstract
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.
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© 2012 Springer-Verlag Berlin Heidelberg
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Shan, C. (2012). Research of Support Vector Machine in Text Classification. In: Zhang, T. (eds) Future Computer, Communication, Control and Automation. Advances in Intelligent and Soft Computing, vol 119. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25538-0_79
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DOI: https://doi.org/10.1007/978-3-642-25538-0_79
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