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Application of edge computing combined with deep learning model in the dynamic evolution of network public opinion in emergencies

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Abstract

The aim is to clarify the evolution mechanism of Network Public Opinion (NPO) in public emergencies. This work makes up for the insufficient semantic understanding in NPO-oriented emotion analysis and tries to maintain social harmony and stability. The combination of the Edge Computing (EC) and Deep Learning (DL) model is applied to the NPO-oriented Emotion Recognition Model (ERM). Firstly, the NPO on public emergencies is introduced. Secondly, three types of NPO emergencies are selected as research cases. An emotional rule system is established based on the One-Class Classification (OCC) model as emotional standards. The word embedding representation method represents the preprocessed Weibo text data. Convolutional Neural Network (CNN) is used as the classifier. The NPO-oriented ERM is implemented on CNN and verified through comparative experiments after the CNN's hyperparameters are adjusted. The research results show that the text annotation of the NPO based on OCC emotion rules can obtain better recognition performance. Additionally, the recognition effect of the improved CNN is significantly higher than the Support Vector Machine (SVM) in traditional Machine Learning (ML). This work realizes the technological innovation of automatic emotion recognition of NPO groups and provides a basis for the relevant government agencies to handle the NPO in public emergencies scientifically.

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Acknowledgements

The authors acknowledge the help from the university colleagues.

Funding

This research was supported by the project of "Research on the dynamic evolution mechanism of NPO of public emergencies and the ability of local governments to cope with them" (Grant No.: 21wsk169) ( Wenzhou Philosophy and Social Science Planning in 2021).

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Authors and Affiliations

  1. School of Business, Wenzhou University, Wenzhou, China

    Min Chen & Lili Zhang

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  1. Min Chen
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  2. Lili Zhang
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Correspondence to Min Chen.

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Chen, M., Zhang, L. Application of edge computing combined with deep learning model in the dynamic evolution of network public opinion in emergencies. J Supercomput 79, 1526–1543 (2023). https://doi.org/10.1007/s11227-022-04733-8

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  • DOI: https://doi.org/10.1007/s11227-022-04733-8

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