Text classification method based on correlation analysis and KNN

Abstract

The invention provides a text classification method based on correlation analysis and a KNN, and the text classification method is used for solving the problem that the efficiency and the accuracy of text classification method based on a traditional KNN need to be further improved. The text classification method is a strategic method, the fact that much coincidence of the characteristic attribute of a tested document and the characteristic attribute of neighbor documents exists is taken into consideration, according to the text classification method based on correlation analysis and the KNN, based on results obtained after correlation analysis is conducted on all classes of documents, a neighbor number k which is suitable for a document of an unknown class is quickly determined, k neighborhoods are selected from documents of unknown classes, therefore, the class of the unknown document is determined according to the classes of the neighborhoods, the defects that according to the text classification method based on the traditional KNN, the value of k is difficult to determine and the time complexity is high are overcome, and the efficiency and the accuracy of text classification are improved.

Description

technical field [0001] The invention relates to the technical field of text mining, in particular to a text classification method based on association analysis and KNN. Background technique [0002] With the development of computer technology and the popularization of the Internet, the number of online texts is increasing rapidly. The previous method of manually screening texts for classification is no longer suitable. There is an urgent need for a fast and efficient technology for collecting data and organizing the required information. , thus resulting in text classification technology. Text classification refers to the process of classifying texts into corresponding predefined categories according to their content under a given classification system. The process of text classification is actually to identify the pattern features of the text, and the key technologies include text preprocessing, feature extraction, classification model, etc. [0003] At present, the commo...

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Problems solved by technology

[0015] The purpose of the present invention is to provide a text classification method based on association analysis and KNN, which is used to solve the problem that the efficiency and accuracy of text classification based on traditional KNN need to be further improved

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