Classification of network public opinion propagation pattern based on variational reasoning

TANG Hongmei; TANG Wenzhong; LI Ruichen; WANG Yanyang; WANG Lihong

doi:10.13700/j.bh.1001-5965.2020.0538

Volume 48 Issue 2

Feb. 2022

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Journal of Beijing University of Aeronautics and Astronautics > 2022 > 48(2): 209-216.

YU Yongtao, HAN Jianwei, FENG Guoqiang, et al. SEL rate prediction for SRAM using pulsed laser sensitivity mapping[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(4): 609-615. doi: 10.13700/j.bh.1001-5965.2014.0301(in Chinese)

Citation:

TANG Hongmei, TANG Wenzhong, LI Ruichen, et al. Classification of network public opinion propagation pattern based on variational reasoning[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(2): 209-216. doi: 10.13700/j.bh.1001-5965.2020.0538(in Chinese)

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Classification of network public opinion propagation pattern based on variational reasoning

doi: 10.13700/j.bh.1001-5965.2020.0538

1.
School of Computer Science and Engineering, Beihang University, Beijing 100083, China
2.
Science and Technology Projects Service Center of Xinjiang Uygur Autonomous Region, Urumqi 830000, China
3.
School of Aeronautic Science and Engineering, Beihang University, Beijing 100083, China
4.
Beihang Jiangxi Research Institute, Nanchang 330096, China
5.
National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing 100029, China

Funds:

Natural Science Foundation of Xinjiang Uygur Autonomous Region 2020D01A95

More Information

Corresponding author: WANG Yanyang, E-mail: wangyanyang@buaa.edu.cn
Received Date: 22 Sep 2020
Accepted Date: 23 Oct 2020
Publish Date: 20 Feb 2022

Abstract

Abstract

With the rapid development of online social media, the analysis of the dissemination mode of public opinion information has become a research hotspot.Aiming at the problem of low classification accuracy of small sample data multi-path generation in the classification task of the network public opinion spreading pattern, the definition of the knowledge graph structure in the field of public opinion dissemination is proposed, builds a public opinion dissemination knowledge graph and public opinion dissemination analysis task data set based on Weibo data, uses the GraphDIVA model to classify public opinion propagation patterns, and conducts a 25-sample test experiment of public opinion propagation pattern classification in the self-built data set. The results show that, after 20 rounds of training, the classification accuracy rate of the model has increased from 76% to 89.4%. It can be seen that the GraphDIVA model has a better effect in reducing the number of training and improving the classification accuracy rate.
- public opinion propagation pattern,
- knowledge graph,
- knowledge graph reasoning,
- graph neural network,
- pattern analysis

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References(16)

References

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