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作 者:Qijian Zheng Feng Liu Shuya Xu Jingyi Hu Haixing Lu Tingting Liu
机构地区:[1]School of Computer Science and Technology,East China Normal University,3663 Zhongshan North Road,Shanghai,200062,China [2]New York University Shanghai,No.567,Yangsi West Road,Pudong District,Shanghai,200126,China [3]School of Psychology and Cognitive Science,East China Normal University,3663 Zhongshan North Road,Shanghai,200062,China [4]Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention,School of Psychology and Cognitive Science,East China Normal University,3663 Zhongshan North Road,Shanghai,200062,China [5]Faculty of Economics and Management,East China Normal University,3663 Zhongshan North Road,Shanghai,200062,China
出 处:《Journal of Safety Science and Resilience》2023年第4期396-409,共14页安全科学与韧性(英文)
摘 要:The COVID-19 pandemic has had a profound impact on public mental health,leading to a surge in loneliness,depression,and anxiety.And these public psychological issues increasingly become a factor affecting social order.As researchers explore ways to address these issues,artificial intelligence(AI)has emerged as a powerful tool for understanding and supporting mental health.In this paper,we provide a thorough literature review on the emotions(EMO)of loneliness,depression,and anxiety(EMO-LDA)before and during the COVID-19 pandemic.Additionally,we evaluate the application of AI in EMO-LDA research from 2018 to 2023(AI-LDA)using Latent Dirichlet Allocation(LDA)topic modeling.Our analysis reveals a significant increase in the proportion of literature on EMO-LDA and AI-LDA before and during the COVID-19 pandemic.We also observe changes in research hotspots and trends in both field.Moreover,our results suggest that the collaborative research of EMO-LDA and AI-LDA is a promising direction for future research.In conclusion,our review highlights the urgent need for effective interventions to address the mental health challenges posed by the COVID-19 pandemic.Our findings suggest that the integration of AI in EMO-LDA research has the potential to provide new insights and solutions to support individuals facing loneliness,depression,and anxiety.And we hope that our study will inspire further research in this vital and revelant domin.
关 键 词:COVID-19 LONELINESS Depression ANXIETY EMO-LDA AI-LDA Computational affection
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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