International Journal of Environmental Research and Public Health Article Perceiving Social-Emotional Volatility and Triggered Causes of COVID-19 Si Jiang 1,2, Hongwei Zhang 3, Jiayin Qi 1,4,*, Binxing Fang 1,5 and Tingliang Xu 6 1 Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education, Beijing 100876, China;
[email protected] (S.J.);
[email protected] (B.F.) 2 School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing 100876, China 3 Center for Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China;
[email protected] 4 Institute of Artificial Intelligence and Change Management, Shanghai University of International Business and Economics, Shanghai 200336, China 5 Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou 510006, China 6 College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China;
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[email protected] Abstract: Health support has been sought by the public from online social media after the outbreak of novel coronavirus disease 2019 (COVID-19). In addition to the physical symptoms caused by the virus, there are adverse impacts on psychological responses. Therefore, precisely capturing the public emotions becomes crucial to providing adequate support. By constructing a domain-specific COVID-19 public health emergency discrete emotion lexicon, we utilized one million COVID-19 theme texts from the Chinese online social platform Weibo to analyze social-emotional volatility. Based on computed emotional valence, we proposed a public emotional perception model that Citation: Jiang, S.; Zhang, H.; Qi, J.; achieves: (1) targeting of public emotion abrupt time points using an LSTM-based attention encoder- Fang, B.; Xu, T.