Web page classification method, web page classification device and network equipment

Abstract

The invention provides a web page classification method, a web page classification device and network equipment. The method comprises the following steps of: extracting information of different classification weight levels in a source file of a web page; performing word segmentation processing on information of each classification weight level to acquire segmented words of each classification weight level; and performing classification processing on the web page by using the segmented words of each classification weight level according to a sequence of the classification weight level from high to low. According to the technical scheme provided by the invention, classification processing is performed on the web page by preferably using the information with higher classification weight level by using the characteristic that the more important information in the web page has higher influence on a web page classification result, so that the influence of invalid information on web page classification in the web page is favorably reduced, and further the accuracy of web page classification is favorably improved.

Description

technical field [0001] The invention relates to network communication technology, in particular to a web page classification method, device and network equipment. Background technique [0002] With the rapid development of the Internet and the rapid increase in the amount of web page data, people have entered an era of rich information. In the face of messy webpage information resources, people need to classify and organize massive webpage information, so that they can quickly search for desired useful information. Automatic classification of web pages provides the key technology to process and organize large-scale web pages, and is an important method to organize information resources reasonably and effectively. The accuracy of web page classification depends largely on the extraction of web page information. [0003] The existing webpage classification process includes: extracting webpage information from webpage source files (also called denoising processing on webpage s...

AI Technical Summary

Problems solved by technology

At present, commonly used web page information extraction methods, such as methods based on the Document Object Model (Document Object Model, DOM) tree, all have the defect of low information extraction accuracy, while commonly used word segmentation methods, such as string matching word segmentation, Methods such as understanding word segmentation and statistical word segmentation also have the defect of inaccurate word segmentation, which makes the accuracy of web page classification low

Images