基于数据挖掘的网络舆情分析方法研究

On Analysis Method for Network Public Opinion Based on Data Mining

基于数据挖掘的网络舆情分析方法,在大数据的网络环境中,文章旨在找出突发事件监测和舆论处理的优化算法进行比较分析。方法:对现有流行的数据挖掘算法如Page Rank,HITS和SALSA的优点和缺点进行比较,提出大数据环境下突发事件网络舆情解决方案。结果:基于数据挖掘的分析处理可以有效地找出敏感的网络舆论,防止社会矛盾激化。

This paper aims to find out the optimization algorithm of emergency monitoring and public opinion processing in the big data network environment. Methods： Comparing the advantages and disadvantages of the existing popular data mining algorithms, such as PageRank, HITS and SALSA, and putting forward the solutions for network public opinions on emergencies under big data. Results ：The analysis and processing based on data mining could effectively find out the sensitive network public opinions and prevent the social contradictions from being intensified.