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
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
1, 2
, PhD
;
Kohei Watanabe
3
, PhD
;
Hajime Sueki
4
, PhD
1
Department of Public Administration and International Affairs
,
The Maxwell School of Citizenship and Public Affairs
,
Syracuse University
,
Syracuse
,
NY
,
US
2
Center for Policy Research
,
The Maxwell School of Citizenship and Public Affairs
,
Syracuse University
,
Syracuse
,
NY
,
US
3
Waseda Institute for Advanced Study
,
Waseda University
,
Tokyo
,
JP
4
Faculty of Human Sciences
,
Wako University
,
Tokyo
,
JP
Corresponding Author:
-
Michiko Ueda
, PhD
-
Department of Public Administration and International Affairs
-
The Maxwell School of Citizenship and Public Affairs
-
Syracuse University
-
426 Eggers Hall
-
Syracuse
, NY
-
US
-
Phone:
1 3154439046
-
Email: miueda@syr.edu