Identifying Silver Linings During the Pandemic Through Natural Language Processing.

Lossio-Ventura, Juan Antonio; Lee, Angela Yuson; Hancock, Jeffrey T; Linos, Natalia; Linos, Eleni

Lossio-Ventura, Juan Antonio; Lee, Angela Yuson; Hancock, Jeffrey T; Linos, Natalia; Linos, Eleni.

Afiliación

Lossio-Ventura JA; Department of Dermatology, Stanford University, Stanford, CA, United States.
Lee AY; Machine Learning Team, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.
Hancock JT; Department of Communication, Stanford University, Stanford, CA, United States.
Linos N; Department of Communication, Stanford University, Stanford, CA, United States.
Linos E; FXB Center for Health and Human Rights, Harvard University, Cambridge, MA, United States.

Front Psychol ; 12: 712111, 2021.

Article en En | MEDLINE | ID: mdl-34539512

Palabras clave

COVID-19; natural language processing; protective factors; sentiment analysis; silver linings; topic modeling

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: Front Psychol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

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