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

Theme Issue: Medical Informatics and COVID-19 (97) JMIR Theme Issue: COVID-19 Special Issue (2002) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (788)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34306, first published .
Deep Neural Networks for Simultaneously Capturing Public Topics and Sentiments During a Pandemic: Application on a COVID-19 Tweet Data Set

Deep Neural Networks for Simultaneously Capturing Public Topics and Sentiments During a Pandemic: Application on a COVID-19 Tweet Data Set

Deep Neural Networks for Simultaneously Capturing Public Topics and Sentiments During a Pandemic: Application on a COVID-19 Tweet Data Set

Authors of this article:

Adrien Boukobza 1, 2, 3 Author Orcid Image ;   Anita Burgun 1, 2, 3 Author Orcid Image ;   Bertrand Roudier 4 Author Orcid Image ;   Rosy Tsopra 1, 2, 3 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics
Adrien Boukobza 1, 2, 3 ;   Anita Burgun 1, 2, 3 , MD, PhD ;   Bertrand Roudier 4 , PharmD, PhD ;   Rosy Tsopra 1, 2, 3 , MD, PhD

1 Université Paris Cité , Sorbonne Université , Inserm, Centre de Recherche des Cordeliers , Paris , FR

2 Inria , HeKA , PariSanté Campus , Paris , FR

3 Department of Medical Informatics , Assistance Publique – Hôpitaux de Paris , Hôpital Européen Georges-Pompidou , Paris , FR

4 ESIEE , Cité Descartes , Noisy le Grand Cedex , FR

Corresponding Author:

  • Adrien Boukobza
  • Department of Medical Informatics
  • Assistance Publique – Hôpitaux de Paris
  • Hôpital Européen Georges-Pompidou
  • 20 rue Leblanc
  • Paris
  • FR
  • Phone: 1 156092167
  • Email: hadrien_b@hotmail.fr