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

Health and Risk Communication (45) JMIR Theme Issue: COVID-19 Special Issue (2449) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Outbreak and Pandemic Preparedness and Management (1717) Infectious Diseases (non-STD/STI) (1561) Infodemiology and Infoveillance (1337) Natural Language Processing (684) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1035) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (383)

Published on in Vol 2, No 1 (2022): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32449, first published .
Using Natural Language Processing to Explore Mental Health Insights From UK Tweets During the COVID-19 Pandemic: Infodemiology Study

Using Natural Language Processing to Explore Mental Health Insights From UK Tweets During the COVID-19 Pandemic: Infodemiology Study

Using Natural Language Processing to Explore Mental Health Insights From UK Tweets During the COVID-19 Pandemic: Infodemiology Study

Authors of this article:

Christopher Marshall1 Author Orcid Image ;   Kate Lanyi1 Author Orcid Image ;   Rhiannon Green1 Author Orcid Image ;   Georgina C Wilkins1 Author Orcid Image ;   Fiona Pearson1 Author Orcid Image ;   Dawn Craig1 Author Orcid Image
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