Network public opinion monitoring method based on multi-divisional optimization

被引：0
|
作者：
Guan Y. [1 ,2 ]
Wang G. [3 ]
Luo K. [3 ]
Zou B. [3 ]
Lyu L. [2 ]
Shi Y. [1 ,2 ]
机构：
[1] School of Software, Shandong University, Jinan
[2] Dareway Software Co., Ltd., Jinan
[3] State Grid Chongqing Electric Power Company, Chongqing
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2022年 / 28卷 / 04期
关键词：
Fractal interpolation; Modern manufacturing; Multi-fractal; Opinion monitoring; Situation prediction;
D O I：
10.13196/j.cims.2022.04.026
中图分类号：
学科分类号：
摘要：
Aiming at the small amount of current public opinion event, it was necessary to learn from various types of online public opinion event. Although the trend of the same type was similarities, it was difficult to fit the development trend of new public opinion events based on historical data alone. A multi-fractal optimization-based public opinion monitoring method was proposed. The multi-fractal dimension was used to analyze the fractal characteristics of the public opinion propagation situation. According to the public opinion incident data, the development trend of subsequent public opinion was judged. Based on the judgment results, the fractal interpolation theory was introduced to achieve a public situation prediction industry. The electric power enterprise was taken as an example to verify the feasibility of opinion propagation. The experimental results showed that the method realized real-time monitoring and effective control of the public opinion event, and assisted the modern manufacture to control and guide the benign development of network public opinion. © 2022, Editorial Department of CIMS. All right reserved.
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页码：1258 / 1266
页数：8
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