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

Vaccination Sentiment and Anti-Vaccination Infodemiology (68) JMIR Theme Issue: COVID-19 Special Issue (2481) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1079) Infodemiology and Infoveillance (1433) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1756) Vaccination and Immunization in the Digital Age (390) Natural Language Processing (770)

Published on in Vol 3 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34315, first published .
Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study

Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study

Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study

Authors of this article:

Harshita Chopra1 Author Orcid Image ;   Aniket Vashishtha1 Author Orcid Image ;   Ridam Pal2 Author Orcid Image ;   Ashima2 ;   Ananya Tyagi2 Author Orcid Image ;   Tavpritesh Sethi2, 3 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Books/Policy Documents

  1. Jaganathan S, Sreeram M, Praharaj B, Sanjay R, Roy S, Kastode Y, Priyadharshini A. Advanced Network Technologies and Intelligent Computing. View