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

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) JMIR Theme Issue: COVID-19 Special Issue (2461) Theme Issue: Medical Informatics and COVID-19 (107) Vaccination and Immunization in the Digital Age (378) Infodemiology and Infoveillance (1369) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050)

Published on in Vol 10, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37831, first published .
An Analysis of French-Language Tweets About COVID-19 Vaccines: Supervised Learning Approach

An Analysis of French-Language Tweets About COVID-19 Vaccines: Supervised Learning Approach

An Analysis of French-Language Tweets About COVID-19 Vaccines: Supervised Learning Approach

Authors of this article:

Romy Sauvayre1, 2 Author Orcid Image ;   Jessica Vernier1 Author Orcid Image ;   Cédric Chauvière2, 3 Author Orcid Image
Article Authors Cited by (7) Tweetations (3) Metrics

Romy Sauvayre   1, 2 , PhD, HDR ;   Jessica Vernier   1 , MA ;   Cédric Chauvière   2, 3 , PhD

1 Laboratoire de Psychologie Sociale et Cognitive, Université Clermont Auvergne, CNRS, Clermont-Ferrand, France

2 Polytech Clermont, Clermont Auvergne INP, Aubiere, France

3 Laboratoire de Mathématiques Blaise Pascal, Université Clermont Auvergne, CNRS, Clermont-Ferrand, France

Corresponding Author:

  • Romy Sauvayre, PhD, HDR
  • Polytech Clermont
  • Clermont Auvergne INP
  • 2, avenue Blaise Pascal
  • Aubiere, 63178
  • France
  • Phone: 33 4-73-40-55-4
  • Fax: 33 4-73-40-75-1
  • Email: romy.sauvayre@uca.fr