Security Monitoring and Early Warning of Negative Public Opinion on Social Networks Under Deep Learning

Authors

  • Haixiang He School of Network Communication, Zhejiang Yuexiu University, Zhejiang 312000, China
  • Shiqi Ma School of Network Communication, Zhejiang Yuexiu University, Zhejiang 312000, China

DOI:

https://doi.org/10.13052/jicts2245-800X.1241

Keywords:

Deep learning, social network, negative public opinion, time convolutional network

Abstract

With the continuous development of social networks, negative social network public opinion appears frequently, which is particularly important for its safety monitoring and early warning. Taking Sina microblog as an example, this paper crawled texts from the platform, used BERT to generate word vectors, combined the bidirectional gated recurrent unit (BiGRU) and attention mechanism to design an emotion tendency classification method, and realized the classification of positive and negative emotion texts. Then, TCN was used to predict the negative emotion text to realize public opinion safety monitoring and early warning. It was found that BERT had the best performance. Compared with other deep learning methods, BERT-BiGRUA had a P value of 0.9431, an R value of 0.9012, and an F1 value of 0.9217 in the classification of emotion tendency, which were all the best. In the prediction of negative emotion text, TCN obtained a smaller mean square error and a higher R2 than long short-term memory and other methods, showing a better prediction effect. The results verify the usability of the approach designed in this paper for practical safety monitoring and early warning of public opinion.

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Author Biographies

Haixiang He, School of Network Communication, Zhejiang Yuexiu University, Zhejiang 312000, China

Haixiang He, born in January 1980, graduated from Assumption University of Thailand with a doctor’s degree in December 2021. He is working at Zhejiang Yuexiu University as a professor. He is interested in network public opinion guidance and disposal.

Shiqi Ma, School of Network Communication, Zhejiang Yuexiu University, Zhejiang 312000, China

Shiqi Ma, born in October 1996, is a doctoral candidate and major in communication innovation management. She is working at Zhejiang Yuexiu University as a teaching assistant. She is interested in network public opinion guidance and disposal.

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Published

2025-02-19

How to Cite

He, H. ., & Ma, S. . (2025). Security Monitoring and Early Warning of Negative Public Opinion on Social Networks Under Deep Learning. Journal of ICT Standardization, 12(04), 365–380. https://doi.org/10.13052/jicts2245-800X.1241

Issue

2024: Vol 12 Iss 4

Section

Articles