Article
27 May 2022
Published
JMIR Publications Inc.
10.2196/32543
2369-2960
CSO Chief Scientists Office; EPSRC Engineering and Physical Sciences Research Council
Hussain, Z., Sheikh, Z., Tahir, A., Dashtipour, K., Gogate, M., Sheikh, A., & Hussain, A. (2022). Artificial intelligence-enabled social media analysis for pharmacovigilance of COVID-19 vaccinations in the United Kingdom: Observational Study. JMIR Public Health and Surveillance, 8(5), Article e32543. https://doi.org/10.2196/32543
LecturerSchool of Computing Engineering and the Built Environment
0131 455 4798
K.Dashtipour@napier.ac.uk
Senior Research FellowSchool of Computing Engineering and the Built Environment
0131 455 4793
M.Gogate@napier.ac.uk
ProfessorSchool of Computing Engineering and the Built Environment
0131 455 2239
A.Hussain@napier.ac.uk
COVID-19, artificial intelligence, deep learning, Facebook, health informatics, natural language processing, public health, sentiment analysis, social media, Twitter, infodemiology, vaccination
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