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

JMIR Theme Issue: COVID-19 Special Issue (2394) Outbreak and Pandemic Preparedness and Management (1679) Infodemiology and Infoveillance (1278) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1573) New Methods (911)

Published on in Vol 24, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41517, first published .
Sentiment Analysis of Insomnia-Related Tweets via a Combination of Transformers Using Dempster-Shafer Theory: Pre– and Peri–COVID-19 Pandemic Retrospective Study

Sentiment Analysis of Insomnia-Related Tweets via a Combination of Transformers Using Dempster-Shafer Theory: Pre– and Peri–COVID-19 Pandemic Retrospective Study

Sentiment Analysis of Insomnia-Related Tweets via a Combination of Transformers Using Dempster-Shafer Theory: Pre– and Peri–COVID-19 Pandemic Retrospective Study

Authors of this article:

Arash Maghsoudi1 Author Orcid Image ;   Sara Nowakowski1 Author Orcid Image ;   Ritwick Agrawal1 Author Orcid Image ;   Amir Sharafkhaneh1 Author Orcid Image ;   Mark E Kunik1 Author Orcid Image ;   Aanand D Naik2 Author Orcid Image ;   Hua Xu3 Author Orcid Image ;   Javad Razjouyan1 Author Orcid Image
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