Efficient SVM Chinese Web page classifier based on pre-classification
Ruxu Du · Computer Engineering and Applications Journal · 2010
Chinese Web page classification has been considered as a hot research area in data mining,and SVM is an effective method for learning the classification knowledge from massive data.In this paper,a model of automatic Chinese Web page classification system based on SVM is presented first.Then detailed design and implementation are introduced,and some key techniques about Chinese Web page classification,including Web page pre-processing,feature selection and weight computing are discussed.A pre-classification method by a given Keywords list is proposed,and the principles and detailed implementation are described.The experiment shows that it not only reduces time but also increases in precision and recall compared with using SVM classifier only.