Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at, first published .
Social Network Analysis of COVID-19 Sentiments: Application of Artificial Intelligence

Social Network Analysis of COVID-19 Sentiments: Application of Artificial Intelligence

Social Network Analysis of COVID-19 Sentiments: Application of Artificial Intelligence


  1. Xue J, Chen J, Chen C, Hu R, Zhu T. The Hidden Pandemic of Family Violence During COVID-19: Unsupervised Learning of Tweets. Journal of Medical Internet Research 2020;22(11):e24361 View
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  4. Soiné H, Kriegel L, Dollmann J. The impact of the COVID-19 pandemic on risk perceptions: differences between ethnic groups in Germany. European Societies 2021;23(sup1):S289 View
  5. Wang Y, Wu P, Liu X, Li S, Zhu T, Zhao N. Subjective Well-Being of Chinese Sina Weibo Users in Residential Lockdown During the COVID-19 Pandemic: Machine Learning Analysis. Journal of Medical Internet Research 2020;22(12):e24775 View
  6. Hussain A, Tahir A, Hussain Z, Sheikh Z, Gogate M, Dashtipour K, Ali A, Sheikh A. Artificial Intelligence–Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study. Journal of Medical Internet Research 2021;23(4):e26627 View
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  12. Zhang C, Xu S, Li Z, Hu S. Understanding Concerns, Sentiments, and Disparities Among Population Groups During the COVID-19 Pandemic Via Twitter Data Mining: Large-scale Cross-sectional Study. Journal of Medical Internet Research 2021;23(3):e26482 View
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Books/Policy Documents

  1. Madani Y, Erritali M, Bouikhalene B. Business Intelligence. View