Open AccessA Ciência da Informação e a COVID-19: análise de sentimentos dos usuários no twitter
Author(s) -
Isaac Newton Cesarino da Nóbrega Alves,
André Luiz Dias de França,
Dulce Elizabeth Lima de Sousa e Silva
Publication year - 2020
Publication title -
páginas aandb arquivos and bibliotecas
Language(s) - English
Resource type - Journals
eISSN - 2183-6671
pISSN - 0873-5670
DOI - 10.21747/21836671/pag14a1
Subject(s) - feeling , sentiment analysis , social media , covid-19 , psychology , theme (computing) , polarity (international relations) , exploratory research , social isolation , social psychology , humanities , sociology , computer science , philosophy , world wide web , natural language processing , medicine , chemistry , social science , psychotherapist , biochemistry , cell , disease , pathology , infectious disease (medical specialty)
This is an exploratory research with a quantitative approach which purpose is observing the levels of sentiment polarity of Twitter users during social isolation. The R Language was used toapply the Text Mining and Sentiment Analysis in a corpus that, treated and structured, was built by tweets associated with the COVID-19 theme. The results obtained reveal that, globally, the people manifested a more positive rather than negative feeling towards their daily routine in the mentioned social media platform.
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