社交媒体中高校舆情用户情感图谱研究——以新浪微博“反学术不端”话题为例

The Study of Emotional Map of University Public Opinion Users in social media: A Case of “Anti-academic Misconduct” in Sina Weibo

【目的/意义】掌握和了解社交媒体中高校舆情用户情感倾向,对相关部门加强高校舆情监测监管,使高校能够适时采取措施应对舆情事件的恶性传播具有十分重要的意义。【方法/过程】本文基于朴素贝叶斯分类器将网络用户评论文本进行情感分类,通过计算对微博用户节点进行影响力分析,结合用户情感倾向与用户节点影响力展示社交媒体中高校舆情情感图谱。【结果/结论】数据分析结果表明:"反学术不端"话题中正向情感占比最高,表明大多数网民对"反学术不端"的倡议是拥护的;次级节点也可视作某一次级话题的源节点,直接主导舆情的演进与次级舆情的衍生,可在一定程度上左右舆情话题的发展进程。

【Purpose/significance】It is of great significance to grasp and understand the emotional tendency of university public opinion users in social media,strengthen the monitoring and supervision of university public opinion to relevant departments,and enable universities to take timely measures to deal with the vicious spread of public opinion events.【Method/process】Based on naive bayes classifier,this paper classifies network users’comments into emotional categories.Analyze the influence of weibo user nodes through PageRank calculation;In addition,the emotional map of university public opinion in social media is presented by combining user emotional tendency and influence of users’node.【Result/conclusion】The topic of"Anti-academic misconduct"is the highest proportion of emotion,indicating that the majority of Internet users are supportive of the"anti-academic misconduct"initiative.Secondary nodes with higher PageRank can also be regarded as the source nodes of a secondary topic,which directly dominates the evolution of public opinion and the derivation of secondary public opinion,and to some extent influences the development process of public opinion topics.From the perspective of emotional mapping,different emotional tendencies reflect the inclusiveness of public opinion information.These emotions influence and transform each other,which to some extent maintains the heat of the topic and promotes the evolution of the topic of emotional map.