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

Health and Risk Communication (46) JMIR Theme Issue: COVID-19 Special Issue (2461) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Outbreak and Pandemic Preparedness and Management (1743) Infectious Diseases (non-STD/STI) (1592) Infodemiology and Infoveillance (1369) Natural Language Processing (706) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (386)

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
Article Authors Cited by (9) Tweetations (5) Metrics

Christopher Marshall   1 , BSc, PhD ;   Kate Lanyi   1 , BSc, MRes ;   Rhiannon Green   1 , BSc, MRes ;   Georgina C Wilkins   1 , BSc, PhD ;   Fiona Pearson   1 , BSc, MRes, PhD ;   Dawn Craig   1 , BSc, MSc

1 National Institute for Health Research Innovation Observatory, Newcastle University, Newcastle, United Kingdom

Corresponding Author:

  • Christopher Marshall, BSc, PhD
  • National Institute for Health Research Innovation Observatory
  • Newcastle University
  • The Catalyst
  • Newcastle, NE4 5TG
  • United Kingdom
  • Phone: 44 0191 2082259
  • Email: chris.marshall@io.nihr.ac.uk