Automatic Detection of Twitter Users Who Express Chronic Stress Experiences via Supervised Machine Learning and Natural Language Processing

Americans bear a high chronic stress burden, particularly during the COVID-19 pandemic. Although social media have many strengths to complement the weaknesses of conventional stress measures, including surveys, they have been rarely utilized to detect individuals self-reporting chronic stress. Thus,...

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Detalles Bibliográficos
Autores principales: Yang, Yuan-Chi, Xie, Angel, Kim, Sangmi, Hair, Jessica, Al-Garadi, Mohammed, Sarker, Abeed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Features
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510804/
https://www.ncbi.nlm.nih.gov/pubmed/36445331
http://dx.doi.org/10.1097/CIN.0000000000000985

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510804/
https://www.ncbi.nlm.nih.gov/pubmed/36445331
http://dx.doi.org/10.1097/CIN.0000000000000985

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