  2018's Brazilian presidential elections highlighted the influence of
alternative media and social networks, such as Twitter. In this work, we
perform an analysis covering politically motivated discourses related to the
second round in Brazilian elections. In order to verify whether similar
discourses reinforce group engagement to personal beliefs, we collected a set
of tweets related to political hashtags at that moment. To this end, we have
used a combination of topic modeling approach with opinion mining techniques to
analyze the motivated political discourses. Using SentiLex-PT, a Portuguese
sentiment lexicon, we extracted from the dataset the top 5 most frequent group
of words related to opinions. Applying a bag-of-words model, the cosine
similarity calculation was performed between each opinion and the observed
groups. This study allowed us to observe an exacerbated use of passionate
discourses in the digital political scenario as a form of appreciation and
engagement to the groups which convey similar beliefs.
