With the rapid development of Internet technology and the increasing volume of Internet traf-fic,a large amount of virtual social network data has been generated.In the vast amount of network da-ta,effective and ineffective data are mixed together.How to mine effective and valuable data and informa-tion from it when analyzing current social public opinion has become a key research issue.This paper dis-cusses the feasibility of social network analysis methods in studying the correlation of social network infor-mation and public opinion analysis,and based on the current reality,it selects Python to scrape web-page information,and uses authoritative webpages and neural network methods to analyze and predict so-cial network data.
关键词
虚拟网络社交数据/社会网络分析/数据挖掘/神经网络
Key words
virtual network social data/social network analysis/data mining/neural networks
维普
万方数据