微博舆情关键节点情感倾向分析及思想引领研究

Sentiment Analysis and Ideological Guidance of Key Nodes in Micro-blog Public Opinion

[目的/意义]为防止微博失实舆情爆发给社会带来的严重后果,研究如何对微博中关键节点的倾向性进行分类,以及时制止恶意煽动群众情绪的节点,防止更多微博用户被误导,并通过不同的思想引领方式,由点及面地对微博用户进行思想引领,更好地净化微博舆情环境。[方法/过程]利用超网络和动态网络分析方法确定关键节点,通过对其情感倾向性进行分析,提供不同的引领策略。[结果/结论]微博舆情生命周期内会出现5类关键节点,思想引领可分为智能引领和智慧引领。

[Purpose/significance] In order to prevent the outbreak of micro-blog false public opinion to the serious consequences of society, the paper categorized the key nodes in micro-blog, to stop the nodes that maliciously incite the masses' emotions in time, and prevent more micro-blog users from being misled, and guide the micro-blog users by different ways of thinking. So as to better purify the micro-blog public opinion environment. [Method/process] The paper used super network and dynamic network analysis method to identify key nodes. Through analyzing their sentiment tendency, different leading strategies were finally provided. [Result/conclusion] There are five kinds of key nodes in the life cycle of micro-blog public opinion. Ideological guidance can be divided into intelligent guidance and wisdom guidance.