Mineração de opinião na rede social X sobre as eleições presidenciais de 2022

Social networks, commonly present in people’s daily lives, have been widely used to promote products, services, and express opinions, becoming a relevant tool for searching and analyzing information on various subjects. In the political scenario, the use of social networks has intensified and has been employed as one of the primary means of communication with voters, in addition to representing a significant indicator of popularity in politics. The objective of this work is to collect X data related to the two candidates who reached the second round, Bolsonaro and Lula, and classify their posts as positive, negative, or neutral. To accomplish this, we created a database, pre-processed the data, and utilized the Naive Bayes method for post classification