Ciência da Computação
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Artigo Científico Acesso embargado Análise dos Tweets sobre a Universidade do Sul de Santa Catarina – Unisul, por meio da mineração de texto e análise de sentimentos(2017) Scandolara, Mariana da Rosa; Carlos, Arthur WeberAcknowledging the competition among higher education institutions, the universities are in search of innovating strategies for their activities. This article represents the creation of a computer system that, utilizing text data mining and sentiment analysis, identifies the polarity of opinions sent by Twitter users about the Universidade do Sul de Santa Catarina - UNISUL. The classification is made using the Naive Bayes probabilistic classification. This algorithm uses machine supervised learning techniques and, for the training algorithm, a number of collected tweets were manually classified by a psychologist. Through result validation, it was found a 75,3% efficiency, which can be considered a good performance bearing in mind that what was developed is a prototype.