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

JMIR Theme Issue: COVID-19 Special Issue (2388) Infodemiology and Infoveillance (1269) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Natural Language Processing (636) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010) Outbreak and Pandemic Preparedness and Management (1673)

Published on in Vol 23, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25314, first published .
Toward Using Twitter for Tracking COVID-19: A Natural Language Processing Pipeline and Exploratory Data Set

Toward Using Twitter for Tracking COVID-19: A Natural Language Processing Pipeline and Exploratory Data Set

Toward Using Twitter for Tracking COVID-19: A Natural Language Processing Pipeline and Exploratory Data Set

Authors of this article:

Ari Z Klein1 Author Orcid Image ;   Arjun Magge1 Author Orcid Image ;   Karen O'Connor1 Author Orcid Image ;   Jesus Ivan Flores Amaro1 Author Orcid Image ;   Davy Weissenbacher1 Author Orcid Image ;   Graciela Gonzalez Hernandez1 Author Orcid Image
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