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

Fanqi Meng; Xixi Xiao

doi:10.34028/iajit

Article Details

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

Authors:

Fanqi Meng | Xixi Xiao

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.19 Issue 4, pp.96-107

Document Type:

Article

Publication Date:

1/2022

Document Language:

English

Document ID (Org No.):

2001389526

pISSN:

2309-4524

DOI:

10.34028/iajit

Keywords:

Abstract:

 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.

Article Details

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

Authors:

Fanqi Meng | Xixi Xiao

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.19 Issue 4, pp.96-107

Document Type:

Article

Publication Date:

1/2022

Document Language:

English

Document ID (Org No.):

2001389526

pISSN:

2309-4524

DOI:

10.34028/iajit

Online public opinions

index system

emotional classification

crisis level

Issues

Article Details

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

Authors: Fanqi Meng | Xixi Xiao

Publisher: Zarqa University, Jordan

Journal: The International Arab Journal of Information Technology (IAJIT) Vol.19 Issue 4, pp.96-107

Document Type: Article

Publication Date: 1/2022

Document Language: English

Document ID (Org No.): 2001389526

pISSN: 2309-4524

DOI: 10.34028/iajit

Online public opinions

index system

emotional classification

crisis level

Issues

Authors:

Fanqi Meng | Xixi Xiao

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.19 Issue 4, pp.96-107

Document Type:

Article

Publication Date:

1/2022

Document Language:

English

Document ID (Org No.):

2001389526

pISSN:

2309-4524

DOI:

10.34028/iajit