Research of text categorization based on SVM

With the rapid growth of online information, text categorization has become one of the key techniques for handling and organizing text data. Support Vector Machine is a promising classification method based on the Structural Risk Minimization principle and kernel function method, and has been shown to yield good generalization performance on a wide variety of classification problems. This paper tries to adopt SVM to establish a text categorization system. The experimental result shows that SVM consistently achieve good performance on text categorization tasks.