基于机器学习的生活号敏感内容感知与预警系统设计

Design of life signal sensitive content perception and early warning system based on machine learning

基于机器学习技术,设计了一种新的生活号敏感内容感知与预警系统。利用网页爬虫设计抓取流程,有效抓取生活号内容,并将抓取到的内容按照文本和图片进行分类,分别对不同类型的内容进行预处理,方便后续的感知预警。这个系统对文本内容的查全率更高,对生活号敏感内容具有更高的感知准确度。

Based on machine learning technology,this paper designs a new life sensitive content perception and early warning system.It uses Web crawler to design the crawling process to effectively capture the content of life number,classifies the captured content according to the text and picture,and preprocesses different types of content respectively to facilitate the subsequent perception and early warning.This system has higher recall rate for text content and higher perception accuracy for sensitive content of life number.