This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1269) JMIR Theme Issue: COVID-19 Special Issue (2388) Infectious Diseases (non-STD/STI) (1478) Vaccination and Immunization in the Digital Age (343) Natural Language Processing (636) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481) Infoveillance and Social Listening (178) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (143) Innovative Methods in Public Health and Surveillance (305) COVID-19 Vaccination (126)

Published on in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30529, first published .
Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning

Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning

Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning

Authors of this article:

Andrzej Jarynowski1, 2 Author Orcid Image ;   Alexander Semenov3, 4 Author Orcid Image ;   Mikołaj Kamiński5 Author Orcid Image ;   Vitaly Belik1 Author Orcid Image
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