Application of edge computing combined with deep learning model in the dynamic evolution of network public opinion in emergencies
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-022-04733-8.pdf
Reference22 articles.
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3. Chintalapudi N, Battineni G, Amenta F (2021) Sentimental analysis of COVID-19 tweets using deep learning models. Infectious Disease Reports 13(2):329–339
4. Lee H, Noh EB, Choi SH et al (2020) Determining public opinion of the COVID-19 pandemic in South Korea and Japan: social network mining on twitter. Healthc Inform Res 26(4):335–343
5. Chen T, Li Q, Fu P et al (2020) Public opinion polarization by individual revenue from the social preference theory. Int J Environ Res Public Health 17(3):946
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