基于深度学习的网页内容解析方法

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中图分类号：TP391；TP301.6；TP311.1 文献标识码：A 文章编号：2096-4706（2025）08-0106-06

Abstract： Inorder to extract valuable information from Web pages eficientlyand accurately，this paper proposes a Web content parsing methodbasedonDeep Learning.This methodaims to extracttext information fromcomplex HyperText MarkupLanguage（HTML）.This methodcombines the feature extractionabilityofDeepLeaming，NaturalLanguageProcessing technologyandlayoutinformationinHMLdocumentstoconstructaMulti-LayerNeuralNetworkmodel，soastoealizete recognitionof Webcontent.The experimentalresultsshowthatcompared withthe traditional Webcontentextraction method based on text density， this method has obvious advantages in accuracy，adaptability and robustness.

Keywords：Web content parsing;DeepLearning; Neural Network; adaptability

0 引言

随着互联网的发展，网页的功能、样式结构变得越来越复杂。（剩余6748字）