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

Vaccination Sentiment and Anti-Vaccination Infodemiology (62) JMIR Theme Issue: COVID-19 Special Issue (2461) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Infodemiology and Infoveillance (1369) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Vaccination and Immunization in the Digital Age (378) Natural Language Processing (706)

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 Tweetations (3) Metrics

Harshita Chopra   1 * , BTech ;   Aniket Vashishtha   1 * , BTech ;   Ridam Pal   2 , BTech ;   Ashima   2 ;   Ananya Tyagi   2 , BTech, MTech ;   Tavpritesh Sethi   2, 3 , MBBS, PhD

1 Guru Gobind Singh Indraprastha University, New Delhi, India

2 Indraprastha Institute of Information Technology, New Delhi, India

3 All India Institute of Medical Sciences, New Delhi, India

*these authors contributed equally

Corresponding Author: