Aplicação de análise de sentimentos no Twitter para avaliação da percepção pública quanto a cloroquina

• João Olenscki USP
• Fernando Xavier USP
• Andre Acosta USP
• Antonio Saraiva USP
• Maria Sallum USP

DOI: https://doi.org/10.5753/sbcas.2020.11547

Abstract

During the COVID-19’s pandemic,several forms of treatment are being tested by researchers.Among them, the main compound of antimalarial drug, chloroquine, stands out, it has gained great repercussion after favorable statements made by the presidents of Brazil and the United States. In order to analyze public opinion regarding this treatment, this research analyzed the use of machine learning algorithms on posts in social networks regarding this medicine. According to our preliminary results, we identified that this method is effective for this research approach, which can also be used in other healthrelated topics, assisting public management in monitoring and evaluating the effectiveness of their communication activities, as well as fighting fake news.

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