Explorando o sentimento no twitter sobre a implementação do ensino virtual no Brasil em face da covid-19 .

Abstract

The high risk of COVID-19 contamination made several countries take social distancing and isolation measures. As a result of these policies, virtual education was the alternative chosen by many schools and higher education institutions to continue their classes. However, that situation, COVID-19-induced, raised some questions about the adequacy of virtual learning concerning students' and teachers' expectations. This work conducted a study of sentiment analysis in Twitter messages to understand the feeling of Brazilian users (teachers and students) about the first months of virtual education in Brazil during a COVID-19 pandemic. Also, it was sought to identify the factors responsible for certain feelings and the consequences of virtual teaching at the beginning of the pandemic. In order to achieve these objectives, sentiment analysis was performed using an ensemble and the Active Learning technique to ensure better accuracy in the classification of the data and, consequently, have an understanding of the current scenario. When analyzing the data, the rejection of teachers and students concerning virtual education during the pandemic was noticeable. It is essential to highlight that factors responsible for this rejection were identified, such as excessive activities, mental exhaustion, and procrastination. In addition, it was found that the adoption of emergency remote teaching had consequences such as anxiety crises, emotional stress, low self-esteem, sleep deprivation, and depression.