Open AccessA Ciência da Informação e a COVID-19: análise de sentimentos dos usuários no twitter
Author(s) -
André Luiz Dias de França,
Isaac Newton Cesarino da Nóbrega Alves,
Dulce Elizabeth Lima de Sousa e Silva
Publication year - 2020
Publication title -
página4saandb/páginas a and b
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 psychology , social isolation , humanities , sociology , computer science , world wide web , philosophy , medicine , natural language processing , social science , chemistry , psychotherapist , disease , pathology , infectious disease (medical specialty) , biochemistry , cell
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.