Webpage classification method for semi-supervised multi-view learning

Abstract

The invention relates to the technical field of Internet, in particular to a webpage classification method for semi-supervised multi-view learning which comprises the following steps of: obtaining data from a webpage, and establishing a training set; training a classifier through the marked training set; encoding the marked training set and the unmarked training set through a trained classifier toobtain sample features; performing density clustering on the sample features to obtain a clustering result; and classifying the samples of the unmarked training set according to a clustering result.According to the scheme, the marked training set is used for training the classifier; orthogonal constraints and adversarial similarity constraints are added on the basis of an existing multi-view classification method, density clustering marking is carried out on all data in a training set through a trained classifier, finally, accuracy verification is carried out on the classifier, and the classification performance of the classifier can be improved through multiple iterations of the process.

Description

technical field [0001] The present invention relates to the technical field of the Internet, and more specifically, to a method for classifying webpages of semi-supervised multi-view learning. Background technique [0002] Computer technology is changing with each passing day, and the Internet has become an indispensable part of human society. With the rapid development of the mobile Internet and web2.0, the number of web pages on the Internet has grown explosively in the past few decades. The increasing amount of information on the Internet has brought more difficulties to the research of Web Information Retrieval and Analysis (TSIRA), and has higher requirements for Web Information Retrieval and Analysis. Webpage classification plays an important role in webpage information retrieval and analysis. How to classify a large number of webpages more quickly and accurately so that users can find the information they need more easily has become a difficult problem in this field....

AI Technical Summary

Problems solved by technology

[0005] Although the above-mentioned methods have realized the classification of web pages, as time goes by, only part of the information of the multi-view data is used, and all the information between views, within views, and between classes and within classes are not fully considered, which will lead to web page classification. Classification error

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