期刊
INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY
卷 19, 期 4, 页码 597-608出版社
ZARKA PRIVATE UNIV
DOI: 10.34028/iajit/19/4/4
关键词
Online public opinions; index system; emotional classification; crisis level
类别
资金
- Jilin Science and Technology Development Plan Project Network Public Opinion Analysis and Dynamic Evolution Mechanism Research for Public Crisis Early Warning [20190303107SF]
This study proposes a method to rate the crisis of online public opinion based on a multi-level index system, aiming to objectively evaluate the impact of events. The method includes explaining the dissemination mechanism of online public opinion, selecting evaluation indexes, creating a text emotion classification model, and evaluating the crisis through grey correlation analysis.
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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