Sentiment Analysis Techniques Applied to Raw-Text Data from a Csq-8 Questionnaire about Mindfulness in Times of COVID-19 to Improve Strategy Generation.

Acosta, Mario Jojoa; Castillo-Sánchez, Gema; Garcia-Zapirain, Begonya; de la Torre Díez, Isabel; Franco-Martín, Manuel

Acosta, Mario Jojoa; Castillo-Sánchez, Gema; Garcia-Zapirain, Begonya; de la Torre Díez, Isabel; Franco-Martín, Manuel.

Afiliação

Acosta MJ; Telecommunications Engineering, Engineering Faculty, University of Deusto, 48007 Bilbao, Spain.
Castillo-Sánchez G; Department of Signal Theory, Communications, and Telematics Engineering, University of Valladolid, 47001 Valladolid, Spain.
Garcia-Zapirain B; Telecommunications Engineering, Engineering Faculty, University of Deusto, 48007 Bilbao, Spain.
de la Torre Díez I; Department of Signal Theory, Communications, and Telematics Engineering, University of Valladolid, 47001 Valladolid, Spain.
Franco-Martín M; Department of Psychiatry, Río Hortega University Hospital, 47012 Valladolid, Spain.

Int J Environ Res Public Health ; 18(12)2021 06 13.

Article em En | MEDLINE | ID: mdl-34199227

Assuntos

COVID-19; Atenção Plena; Inteligência Artificial; Humanos; Qualidade de Vida; SARS-CoV-2; Inquéritos e Questionários

Palavras-chave

COVID-19; CSQ-8; IMDB; deep learning; embedding; mindfulness; natural language processing; neural networks; stress; swivel

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Atenção Plena / COVID-19 Tipo de estudo: Prognostic_studies Aspecto: Patient_preference Limite: Humans Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Espanha País de publicação: Suíça

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