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

Data Science (301) JMIR Theme Issue: COVID-19 Special Issue (2491) Infodemiology and Infoveillance (1444) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1771) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1530) Vaccination and Immunization in the Digital Age (398) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1085) Natural Language Processing (791)

Published on in Vol 24, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42261, first published .
Uncovering the Reasons Behind COVID-19 Vaccine Hesitancy in Serbia: Sentiment-Based Topic Modeling

Uncovering the Reasons Behind COVID-19 Vaccine Hesitancy in Serbia: Sentiment-Based Topic Modeling

Uncovering the Reasons Behind COVID-19 Vaccine Hesitancy in Serbia: Sentiment-Based Topic Modeling

Authors of this article:

Adela Ljajić1 Author Orcid Image ;   Nikola Prodanović1 Author Orcid Image ;   Darija Medvecki1 Author Orcid Image ;   Bojana Bašaragin1 Author Orcid Image ;   Jelena Mitrović1, 2 Author Orcid Image
Article Authors Cited by (10) Tweetations (6) Metrics

Adela Ljajić   1 * , PhD ;   Nikola Prodanović   1 * , PhD ;   Darija Medvecki   1 * , MSc ;   Bojana Bašaragin   1 * , PhD ;   Jelena Mitrović   1, 2 , PhD

1 The Institute for Artificial Intelligence Research and Development of Serbia, Novi Sad, Serbia

2 Faculty of Computer Science and Mathematics, University of Passau, Passau, Germany

*these authors contributed equally

Corresponding Author:

  • Adela Ljajić, PhD
  • The Institute for Artificial Intelligence Research and Development of Serbia
  • Fruškogorska 1
  • Novi Sad, 21000
  • Serbia
  • Phone: 381 652626347
  • Email: adela.ljajic@ivi.ac.rs