skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Mais do que palavras: uma análise das emoções brasileiras durante a COVID-19

RISTI : Revista Ibérica de Sistemas e Tecnologias de Informação, 2021-01 (E40), p.526-541 [Peer Reviewed Journal]

2021. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1646-9895

Full text available

Citations Cited by
  • Title:
    Mais do que palavras: uma análise das emoções brasileiras durante a COVID-19
  • Author: Bernardi, Filipe Andrade ; Lima, Vinicius Costa ; Rijo, Rui Pedro Charters Lopes ; Alves, Domingos
  • Subjects: Coronaviruses ; COVID-19 ; Data mining ; Ebola virus ; Emotions ; Information systems ; Middle East respiratory syndrome ; Natural language processing ; Noise reduction ; Public health ; Social isolation ; Social networks ; Viral diseases
  • Is Part Of: RISTI : Revista Ibérica de Sistemas e Tecnologias de Informação, 2021-01 (E40), p.526-541
  • Description: Data science can help explain the facts and reduce the noise that interferes with the understanding of the real impact of viral outbreaks on our lives. The social network Twitter has been analyzed to check the population's reaction to social isolation and quarantine. [...]to explore public concerns about the evolution of COVID-19 and how governmental positions were adopted, a sample of daily tweets in Portuguese was collected to perform analysis of sentiments and emotions. The importance of the availability and reliability of information, the resulting need for transparency of information systems and the empowerment of health professionals and local managers to make the best surveillance and / or clinical decisions across the different sectors of the sector are emphasized. Keywords: COVID-19; Natural Language Processing; Sentiment Analysis; Public health; Health Information Systems 1.Introduçao Em 31 de dezembro de 2019, a Organizaçao Mundial de Saúde (OMS) foi notificada sobre uma série de episodios de pneumonia de origem desconhecida na cidade chinesa de Wuhan, Provincia de Hubei.
  • Publisher: Lousada: Associação Ibérica de Sistemas e Tecnologias de Informacao
  • Language: Portuguese
  • Identifier: ISSN: 1646-9895
  • Source: Coronavirus Research Database
    ProQuest Central
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait