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 (2388) Theme Issue: Medical Informatics and COVID-19 (103) Vaccination and Immunization in the Digital Age (343) Infodemiology and Infoveillance (1269) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010)

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

Journals

  1. Dupuy-Zini A, Audeh B, Gérardin C, Duclos C, Gagneux-Brunon A, Bousquet C. Users’ Reactions to Announced Vaccines Against COVID-19 Before Marketing in France: Analysis of Twitter Posts. Journal of Medical Internet Research 2023;25:e37237 View
  2. Gable J, Sauvayre R, Chauvière C. Fight Against the Mandatory COVID-19 Immunity Passport on Twitter: Natural Language Processing Study. Journal of Medical Internet Research 2023;25:e49435 View
  3. Bagla P, Kumar K. Breaking down health fakes: a hybrid DNN model for multi-class classification on a self-constructed dataset. Sādhanā 2023;48(4) View
  4. Küçük D, Arıcı N. Deep Learning-Based Sentiment and Stance Analysis of Tweets About Vaccination. International Journal on Semantic Web and Information Systems 2023;19(1):1 View
  5. Valeanu A, Mihai D, Andrei C, Puscasu C, Ionica A, Hinoveanu M, Predoi V, Bulancea E, Chirita C, Negres S, Marineci C. Identification, analysis and prediction of valid and false information related to vaccines from Romanian tweets. Frontiers in Public Health 2024;12 View
  6. Malik U, Bernard S, Pauchet A, Chatelain C, Picot-Clemente R, Cortinovis J. Pseudo-labeling with Large Language Models for Multi-label Emotion Classification of French Tweets. IEEE Access 2024:1 View