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

JMIR Theme Issue: COVID-19 Special Issue (2391) Natural Language Processing (644) Machine Learning (1385) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570) Infectious Diseases (non-STD/STI) (1485) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1013) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482) Infodemiology and Infoveillance (1274)

Published on in Vol 24, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30397, first published .
Monitoring COVID-19 on Social Media: Development of an End-to-End Natural Language Processing Pipeline Using a Novel Triage and Diagnosis Approach

Monitoring COVID-19 on Social Media: Development of an End-to-End Natural Language Processing Pipeline Using a Novel Triage and Diagnosis Approach

Monitoring COVID-19 on Social Media: Development of an End-to-End Natural Language Processing Pipeline Using a Novel Triage and Diagnosis Approach

Authors of this article:

Abul Hasan1 Author Orcid Image ;   Mark Levene1 Author Orcid Image ;   David Weston1 Author Orcid Image ;   Renate Fromson2 Author Orcid Image ;   Nicolas Koslover2 Author Orcid Image ;   Tamara Levene2 Author Orcid Image
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