数据挖掘技术在网络舆情危机管理中的应用研究

Data mining technology research on network public opinion management

网络舆情危机事件发生后,能否对网络舆情危机进行有效管理,关系到舆情危机的成功处理,也事关社会的和谐与发展。因此,加强网络舆情危机事件的管理研究,对提升社会的危机管理能力具有重要意义。随着信息化技术快速发展,数据挖掘技术应用范围越加广泛,信息化管理在优化网络舆情危机的应对方法和改善舆情危机管理中发挥着重要作用。本次研究通过对数据挖掘技术在网络舆情危机管理中的融合特征进行分析的基础上,基于网络舆情危机管理现状,对数据挖掘技术在网络舆情危机管理中的应用进行了详尽论述。

After the crisis of network public opinion occurs,whether the crisis of network public opinion could effectively be managed is related to the successful handling of the crisis and the stability and harmony of the society. Therefore,it is of great significance to enhance the ability of the social crisis management. With the rapid development of information technology,the application of data mining technology is becoming more and more extensive. Information management plays an important role in optimizing the crisis intervention method of the network public opinion and improving the public opinion crisis management.Based on the analysis of the fusion characteristics of data mining technology in network public opinion crisis management,the paper outlines the application of data mining technology in the social network public opinion crisis management.