Análise textual de tweets referenciando nordestinos durante as eleições presidenciais brasileiras de 2022.

Abstract

With the invention of social networks and their popularization, they became platforms of discussion about various subjects, including politics. During the 2022 Brazilian presidential election, that was also the case. The Northeast of Brazil, being a highlight of the 2022 presidential elections, was also the subject of discussion during this period. So, this paper has the intention of analyzing mentions of people from the Northeast, during the pre-elections and the elections. This project used data preprocessing, by making use of natural language processing methods and the analysis was made using exploratory textual analysis techniques and algorithms, such as Word2Vec and the concept of frequency of distance. Evidences that support the idea that during the election period, the closer it was from the voting day, the more negative the opinion of Twitter users about people from the Northeast was were found.