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With the rapid development of network technology and the rapid growth of all kinds of online information resources, a large number of Chinese language and literature resources have emerged on the Internet. Online Chinese language and literature resources are becoming more and more important sources for people to obtain important information. However, existing search engines tend to provide a lot of irrelevant content when searching for information. Therefore, how to quickly and effectively obtain useful resource information and classify Chinese language and literature resources from a large number of information resources is the focus of this paper. This article mainly aims at the current development situation, by consulting a large amount of data, understanding the research status of improved SVM algorithm at home and abroad, showing the idea and advantages of SVM through the algorithm and experimental process, and further improving the SVM algorithm. The improved SVM proposed in this paper greatly improves the efficiency of classification and facilitates the rapid search of information with high matching degree among various online resources of Chinese language and literature.

Chinese Language and Literature Online Resource Classification Algorithm Based on Improved SVM