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Emotional Distress During Covid-19 By Mental Health Conditions And Economic Vulnerability: Retrospective Analysis Of Survey-Linked Twitter Data With A Semisupervised Machine Learning Algorithm, Michiko Ueda-Ballmer, Kohei Watanabe, Hajime Sueki, Davor Mondom
Emotional Distress During Covid-19 By Mental Health Conditions And Economic Vulnerability: Retrospective Analysis Of Survey-Linked Twitter Data With A Semisupervised Machine Learning Algorithm, Michiko Ueda-Ballmer, Kohei Watanabe, Hajime Sueki, Davor Mondom
Center for Policy Design and Governance
The brief provides a summary of "Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm," co-authored by Michiko Ueda-Ballmer, Kohei Watanabe, and Hajime Sueki and published in the Journal of Medical Internet Research.