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
BackgroundMonitoring the psychological conditions of social media users during rapidly developing public health crises, such as the COVID-19 pandemic, using their posts on social media has rapidly gained popularity as a relatively easy and cost-effective method. However, the...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
JMIR Publications
2023-03-01
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| Серии: | Journal of Medical Internet Research |
| Online-ссылка: | https://www.jmir.org/2023/1/e44965 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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