dc.contributorCaseli, Helena de Medeiros
dc.contributorhttp://lattes.cnpq.br/6608582057810385
dc.contributorhttp://lattes.cnpq.br/1323489363246457
dc.creatorCapellaro, Leonardo
dc.date.accessioned2021-11-23T12:29:16Z
dc.date.accessioned2022-10-10T21:37:46Z
dc.date.available2021-11-23T12:29:16Z
dc.date.available2022-10-10T21:37:46Z
dc.date.created2021-11-23T12:29:16Z
dc.date.issued2021-10-14
dc.identifierCAPELLARO, Leonardo. Análise de polaridade e de tópicos em tweets no domínio da política no Brasil. 2021. Trabalho de Conclusão de Curso (Graduação em Engenharia de Computação) – Universidade Federal de São Carlos, São Carlos, 2021. Disponível em: https://repositorio.ufscar.br/handle/ufscar/15138.
dc.identifierhttps://repositorio.ufscar.br/handle/ufscar/15138
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/4045276
dc.description.abstractThe political scenario in Brazil is one of the busiest and most controversial in the last decade. With the advent of social networks, a new communication channel between voters and politicians was created, with users having a space to publish their opinions, beliefs and also follow the posts of other people. In this context, this work shows the performance of BERT models in the polarity (positive, negative or neutral) and topic analysis of tweets related to Brazilian politics. Experiments were carried out with tweets related to the 2018 elections achieving results (F1 = 96%) better than the ones obtained by previous works for the polarity classification. The qualitative analysis of the topics (the first one using BERTopic in this corpus) also resulted in promising insights.
dc.languagepor
dc.publisherUniversidade Federal de São Carlos
dc.publisherUFSCar
dc.publisherCâmpus São Carlos
dc.publisherEngenharia de Computação - EC
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/br/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Brazil
dc.subjectPLN
dc.subjectBERT
dc.subjectAnálise de sentimentos
dc.subjectAnálise de tópicos
dc.subjectPortuguês do Brasil
dc.subjectSentiment analysis
dc.subjectTopic analysis
dc.titleAnálise de polaridade e de tópicos em tweets no domínio da política no Brasil
dc.typeOtros


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