Rating the Crisis of Online Public Opinion Using a Multi-Level Index System

The international arab journal of information technology

article

Fanqi Meng¹  Xixi Xiao¹ 

[1] School of Computer Science, Northeast Electric Power University

关键词: Online public opinions;    index system;    emotional classification;    crisis level;   

DOI  :  10.34028/iajit/19/4/4

学科分类：计算机科学（综合）

来源: Zarqa University

【 摘 要 】

Online public opinion usually spreads rapidly and widely, thus a small incident probably evolves into a large socialcrisis in a very short time, and results in a heavy loss in credit or economic aspects. We propose a method to rate the crisis ofonline public opinion based on a multi-level index system to evaluate the impact of events objectively. Firstly, the disseminationmechanism of online public opinion is explained from the perspective of information ecology. According to the mechanism, someevaluation indexes are selected through correlation analysis and principal component analysis. Then, a classification model oftext emotion is created via the training by deep learning to achieve the accurate quantification of the emotional indexes in theindex system. Finally, based on the multi-level evaluation index system and grey correlation analysis, we propose a method torate the crisis of online public opinion. The experiment with the real-time incident show that this method can objectively evaluatethe emotional tendency of Internet users and rate the crisis in different dissemination stages of online public opinion. It is helpfulto realizing the crisis warning of online public opinion and timely blocking the further spread of the crisis.

【 授权许可】

Unknown