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

JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (383) JMIR Theme Issue: COVID-19 Special Issue (2452) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Outbreak and Pandemic Preparedness and Management (1727) Natural Language Processing (692) Machine Learning (1465) Artificial Intelligence (1371)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40899, first published .
Trends in Language Use During the COVID-19 Pandemic and Relationship Between Language Use and Mental Health: Text Analysis Based on Free Responses From a Longitudinal Study

Trends in Language Use During the COVID-19 Pandemic and Relationship Between Language Use and Mental Health: Text Analysis Based on Free Responses From a Longitudinal Study

Trends in Language Use During the COVID-19 Pandemic and Relationship Between Language Use and Mental Health: Text Analysis Based on Free Responses From a Longitudinal Study

Authors of this article:

Rachel Weger1 Author Orcid Image ;   Juan Antonio Lossio-Ventura2 Author Orcid Image ;   Margaret Rose-McCandlish1 Author Orcid Image ;   Jacob S Shaw2 Author Orcid Image ;   Stephen Sinclair2 Author Orcid Image ;   Francisco Pereira2 Author Orcid Image ;   Joyce Y Chung2 Author Orcid Image ;   Lauren Yvette Atlas1, 2, 3 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.