Exploring populism in Jair Bolsonaro's speeches: a statistical study
DOI:
https://doi.org/10.51359/2317-0115.2024.265421Keywords:
Jair Bolsonaro, Machine Learning, Support Vector Classification algorithmAbstract
This study seeks to provide an initial analysis using a corpus derived from the speeches delivered during the first year of former President Jair Bolsonaro's administration. Before assessing the performance of several widely-used machine learning algorithms, basic pre-processing techniques were applied to the data. The findings revealed that the Support Vector Classification
algorithm achieved the highest performance, with an accuracy rate of 86%. Furthermore, the study included an analysis based on bigrams to distinguish and compare the linguistic patterns between speeches classified as populist and those considered non-populist. These initial results offer valuable insights into the rhetorical strategies employed during Bolsonaro's early presidency.
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