A Web Page Classification Method Based on Semi-Supervised Multi-view Learning

Abstract

The present invention relates to the technical field of the Internet, and more specifically, relates to a webpage classification method for semi-supervised multi-view learning, comprising: obtaining data from webpages and establishing a training set; training a classifier through a marked training set; The machine codes the marked training set and the unmarked training set to obtain the sample features; performs density clustering on the sample features to obtain the clustering results; and classifies the samples of the unmarked training set according to the clustering results. This scheme uses the labeled training set to train the classifier, adds orthogonal constraints and confrontational similarity constraints on the basis of the existing multi-view classification method, and then uses the trained classifier to perform density aggregation on all the data in the training set. Finally, the accuracy of the classifier is verified, and the above-mentioned process can be iterated multiple times to improve the classification performance of the classifier.

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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