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

Theme Issue 2022: Social Media, Ethics, and COVID-19 Misinformation (45) JMIR Theme Issue: COVID-19 Special Issue (2490) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1085) Infodemiology and Infoveillance (1443) Natural Language Processing (791)

Published on in Vol 24, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37142, first published .
Exploring COVID-19–Related Stressors: Topic Modeling Study

Exploring COVID-19–Related Stressors: Topic Modeling Study

Exploring COVID-19–Related Stressors: Topic Modeling Study

Authors of this article:

Yue Tong Leung1 Author Orcid Image ;   Farzad Khalvati1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (14) Tweetations (4) Metrics
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doctick doctick @doctick

#NLP "Exploring COVID-19 Related Stressors Using Topic Modeling" https://t.co/FhyIOr0rTQ

11:20 PM · Jun 22, 2022

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JMIR Publications JMIR Publications @jmirpub

New in JMIR: Exploring #COVID19 #coronavirus–Related Stressors: Topic Modeling #Study https://t.co/Mfz4f5g148 https://t.co/yK5RILvTKk

3:10 PM · Jul 13, 2022

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Journal of Medical Internet Research Journal of Medical Internet Research @JMIR_

RT @jmirpub: New in JMIR: Exploring #COVID19 #coronavirus–Related Stressors: Topic Modeling #Study https://t.co/Mfz4f5g148 https://t.co/yK5…

3:10 PM · Jul 13, 2022

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Tom Bellis Tom Bellis @tommybellis

Exploring COVID-19–Related Stressors: Topic Modeling Study https://t.co/KlU9z3T3fO https://t.co/XlaKDRlbs7

3:45 PM · Jul 13, 2022

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