Public Discourse Surrounding Suicide during the COVID-19 Pandemic: An Unsupervised Machine Learning Analysis of Twitter Posts over a One-Year Period

Many studies have forewarned the profound emotional and psychosocial impact of the protracted COVID-19 pandemic. This study thus aimed to examine how individuals relate to suicide amid the COVID-19 pandemic from a global perspective via the public Twitter discourse around suicide and COVID-19. Origi...

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Detalles Bibliográficos
Autores principales: Lim, Shu Rong, Ng, Qin Xiang, Xin, Xiaohui, Lim, Yu Liang, Boon, Evelyn Swee Kim, Liew, Tau Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654513/
https://www.ncbi.nlm.nih.gov/pubmed/36360713
http://dx.doi.org/10.3390/ijerph192113834

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654513/
https://www.ncbi.nlm.nih.gov/pubmed/36360713
http://dx.doi.org/10.3390/ijerph192113834

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