Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries.

Wang, Hanyin; Li, Yikuan; Hutch, Meghan R; Kline, Adrienne S; Otero, Sebastian; Mithal, Leena B; Miller, Emily S; Naidech, Andrew; Luo, Yuan

Wang, Hanyin; Li, Yikuan; Hutch, Meghan R; Kline, Adrienne S; Otero, Sebastian; Mithal, Leena B; Miller, Emily S; Naidech, Andrew; Luo, Yuan.

Afiliación

Wang H; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Li Y; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Hutch MR; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Kline AS; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Otero S; Department of Pediatrics, Feinberg School of Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University, Chicago, Illinois, USA.
Mithal LB; Department of Pediatrics, Feinberg School of Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University, Chicago, Illinois, USA.
Miller ES; Department of Obstetrics & Gynecology, Northwestern Medicine, Chicago, Illinois, USA.
Naidech A; Department of Neurology, Northwestern Medicine, Chicago, Illinois, USA.
Luo Y; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.

J Am Med Inform Assoc ; 30(5): 923-931, 2023 04 19.

Article en En | MEDLINE | ID: mdl-36821435

Asunto(s)

COVID-19; Medios de Comunicación Sociales; Femenino; Embarazo; Humanos; Vacunas contra la COVID-19; Análisis de Sentimientos; COVID-19/prevención & control; Pandemias; Vigilancia en Salud Pública

Palabras clave

COVID-19; deep learning; sentiment analysis; vaccine

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Medios de Comunicación Sociales / COVID-19 Tipo de estudio: Clinical_trials / Prognostic_studies / Screening_studies Límite: Female / Humans / Pregnancy Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google