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With the development of the Internet, the speed of knowledge update is getting faster and faster, and the Internet is full of various knowledge data. For knowledge management systems, the knowledge classification function is very important. The main task of this paper is to learn the mapping relationship between text content and text category according to the given text content and text category, so as to get a classification model. Finally, use this classification model to process the text of the unknown classification, and judge or predict the category of the unknown text.

Research on Knowledge Classification Based on KNN and Naive Bayesian Algorithms