Evolutionary Simulation of Online Public Opinion Based on the BERT-LDA Model under COVID-19

Authors

Muni Zhuang, 1. School of Public Management, Xiangtan University, Xiangtan 411105, China; ;3. School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172, China; ;
Li Yong, 1. School of Public Management, Xiangtan University, Xiangtan 411105, China; ;2. School of Economics and Management, Changsha University, Changsha 410022, China; ;
Tan Xu, 1. School of Public Management, Xiangtan University, Xiangtan 411105, China; ;3. School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172, China; ;
Taitian Mao, 1. School of Public Management, Xiangtan University, Xiangtan 411105, China; ;
Kaicheng Lan, 3. School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172, China; ;
Lining Xing, 4. College of Systems Engineering, National University of Defense Technology, Changsha 410022, China;

Abstract

Abstract: The construction of a large-scale online public opinion evolution simulation model has guidance value for differentiated emergency management and public opinion guidance in the worst-hit areas in Wuhan and the other areas in China during the outbreak of the COVID-19. In order to realize the fine-grained simulation of the public sentiment evolution of the topic, the LDA topic model is deeply integrated with BERT word vector to optimize the topic vector and power the text topic clustering. At the same time, on the basis of improving BERT pre-training task, the deep pre-training task is superimposed to improve the accuracy of the model in emotion classification. The results show that the NPMI value of the improved BERT-LDA model is 0.357 higher than that of the original LDA model during the topic vector training. In terms of the emotional classification task of epidemic events, the AUC value exceeds 99.6%, which proves that the improved BERT-LDA model can be effectively applied to large-scale internet public opinion evolution simulation.

Recommended Citation

Zhuang, Muni; Yong, Li; Xu, Tan; Mao, Taitian; Lan, Kaicheng; and Xing, Lining (2021) "Evolutionary Simulation of Online Public Opinion Based on the BERT-LDA Model under COVID-19," Journal of System Simulation: Vol. 33: Iss. 1, Article 3.
DOI: 10.16182/j.issn1004731x.joss.20-0690
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss1/3

First Page

24

Revised Date

2020-11-04

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0690

Last Page

36

CLC

TP391.9

Recommended Citation

Zhuang Muni, Li Yong, Tan Xu, Mao Taitian, Lan Kaicheng, Xing Lining. Evolutionary Simulation of Online Public Opinion Based on the BERT-LDA Model under COVID-19[J]. Journal of System Simulation, 2021, 33(1): 24-36.

DOI

10.16182/j.issn1004731x.joss.20-0690