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

JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (360) JMIR Theme Issue: COVID-19 Special Issue (2278) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1407) Outbreak and Pandemic Preparedness and Management (1561) Natural Language Processing (557) Machine Learning (1194) Artificial Intelligence (922)

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 Weger 1 Author Orcid Image ;   Juan Antonio Lossio-Ventura 2 Author Orcid Image ;   Margaret Rose-McCandlish 1 Author Orcid Image ;   Jacob S Shaw 2 Author Orcid Image ;   Stephen Sinclair 2 Author Orcid Image ;   Francisco Pereira 2 Author Orcid Image ;   Joyce Y Chung 2 Author Orcid Image ;   Lauren Yvette Atlas 1, 2, 3 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Lossio-Ventura J, Weger R, Lee A, Guinee E, Chung J, Atlas L, Linos E, Pereira F. Sentiment Analysis of COVID-19 Survey Data: A Comparison of ChatGPT and Fine-tuned OPT Against Widely Used Sentiment Analysis Tools (Preprint). JMIR Mental Health 2023 View