台风眼效应中的突发事件舆情数据分析方法

Analysis Method of Public Opinion Data in Emergency from Typhoon Eye Effect

心理学家用"台风眼效应"表征人们离危机事件中心的距离越远、反应越强的心理现象。突发事件发生以后,网络舆情数据通常会呈现铺天盖地、汹涌澎湃之势。在这种情况下,如何去除舆情数据中的心理、情绪等主观信息,为民众中的不同层次主体呈现客观的事件描述,缓解由于信息不对称所带来的台风眼效应问题成为了一个有价值的研究课题。本文结合科技文本的短语识别方法,通过突发事件典型特征词与科技类短语的联合检索实现对舆情信息的过滤,利用可视化主题聚类和热点分析工具实现了对突发事件舆情数据的客观描述,为台风眼效应中信息不对称问题的解决提供了新思路。

Psychologists use "typhoon eye effect" to express the psychological phenomenon that people who are farther away from the center of emergencies would have stronger reaction. After the occurrence of emergencies, the network public opinion data usually presents overwhelming and surging trend. In this cases, how to remove the subjective information such as psychology and emotion from public opinion data, present objective event description for different levels of subjects in the public, and alleviate the typhoon eye effect caused by information asymmetry has become a valuable research topic. In this paper, we combine the phrase recognition method of scientific and technological text, filter public opinion information through the joint retrieval of typical characteristic words and scientific and technological phrases of emergencies, and identifie the objective description of public opinion data of emergencies by using visual topic clustering and hot topic analysis tools. This paper provides a new way to solve the information asymmetry problem in typhoon eye effect.