高校学生网络舆情的动态监测路径与防控机制研究

Research on Dynamic Monitoring Path and Prevention and Control Mechanism of College Students’ Network Public Opinion

[目的/意义]高校学生网络舆情的动态监测与防控一直是高校网络安全所关注的焦点。在新媒体环境下,如何精准地预测高校学生网络舆情的发生和演化,掌握高校学生网络舆情发生的动态和规律以便对其进行有效地防控已成为高校思想政治教育的核心工作。[方法/过程]为此,采用信息获取、数据清洗和信息聚类等网络舆情分析技术对高校学生网络舆情监测流程、监测方法和监测内容等予以研究。[结果/结论]结果表明以舆情信息聚类结果为基础,利用人工研判和技术手段相结合的方法可以提升对高校学生网络舆情的动态监测效率,进而可以有效地对高校学生网络舆情实施防控。

[Purpose/Significance]The dynamic monitoring and prevention of students network public opinion has always been the focus of network security in Colleges and universities.Under the new media environment,how to accurately predict the occurrence and evolution of College Students network public opinion and grasp the dynamics of College Students public opinion has become the core work of Ideological and political education in Colleges and universities.[Methods/Processes]Therefore,the content,method and process of network public opinion monitoring for college students were studied by using network public opinion analysis techniques such as information acquisition,data cleaning and information clustering.[Methods/Processes]The results showed that based on the clustering results,the combination of manual research and technical means improved the dynamic monitoring efficiency of College Students network public opinion,and then effectively implemented the prevention and control of network public opinion.