Website information identification method and device and electronic equipment

Abstract

The invention provides a website information identification method and device and electronic equipment, and the method comprises the steps: obtaining the content of a target website according to the address of the target website, wherein the content comprise text contents, picture files and display effect screenshots; performing accurate matching and/or natural language analysis processing on the text content according to a preset sensitive violation lexicon, and determining a text recognition result of the target website; and performing image classification recognition based on deep learning on the image file and the display effect screenshot according to preset sample images with different types of tags, and determining an image recognition result of the target website. After the content of the target website is obtained, the text content is accurately matched and/or analyzed and processed in a natural language to obtain a text recognition result; and deep learning is carried out on the picture file and the display effect screenshot to obtain a picture recognition result. Whether the website has bad content or not can be effectively judged, and the misjudgment rate is reduced.

Description

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AI Technical Summary

Benefits of technology

This technology helps identify websites that have harmful or legal words by comparing them with databases containing relevant data from their own sources like images stored locally at home or online. By doing this analysis, it becomes possible to determine if any sites are good enough without having been identified beforehand. Additionally, these systems use advanced techniques such as neural networks trained over large amounts of training samples collected during testing sessions to improve upon existing methods used earlier. Overall, they help streamline site identification processes while reducing errors caused by irrelevant URLs.

Problems solved by technology

The technical problem addressed by this patented method is how to accurately detecting internet users who have been deceived into accessing harmful sites like computer viruses without causing them being identified as harmless ones.

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