The International Arab Journal of Information Technology (IAJIT)


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

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

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[27] Zhao L., “Research on Public Opinion Index System of Chinese Microblog,” in Proceedings of the IEEE International Conference on Software Engineering and Service Science, pp. 385-388, 2014. Fanqi Meng is an associate professor at NEEPU. He was born in Tongliao, Inner Mongolia, China in 1981. He received his Ph.D. degree in computer application technology from Harbin Institute of Technology, Harbin, in 2018. His research interests include software safety, natural language processing, fault diagnosis of electric power equipment and other aspects, involve software engineering, artificial intelligence, data mining and other fields. Xixi Xiao was born in Shangqu, Henan, China in 1995. She received the M.E. degree from Northeast Electric Power University. Her research interest include online public opinion and artificial intelligence. Jingdong Wang is an associate professor at NEEPU. He was born in Changchun, Jilin, China in 1980. He received the Ph.D. degree in information science from University of Science and technology of China, in 2017. His research interests include public security, natural language processing, knowledge graph and other aspects.