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2018's Brazilian presidential elections highlighted the influence ofalternative media and social networks, such as Twitter. In this work, weperform an analysis covering politically motivated discourses related to thesecond round in Brazilian elections. In order to verify whether similardiscourses reinforce group engagement to personal beliefs, we collected a setof tweets related to political hashtags at that moment. To this end, we haveused a combination of topic modeling approach with opinion mining techniques toanalyze the motivated political discourses. Using SentiLex-PT, a Portuguesesentiment lexicon, we extracted from the dataset the top 5 most frequent groupof words related to opinions. Applying a bag-of-words model, the cosinesimilarity calculation was performed between each opinion and the observedgroups. This study allowed us to observe an exacerbated use of passionatediscourses in the digital political scenario as a form of appreciation andengagement to the groups which convey similar beliefs.

Detecting Group Beliefs Related to 2018's Brazilian Elections in Tweets A Combined Study on Modeling Topics and Sentiment Analysis