Uma Abordagem de Classificação de Sentimentos em Revisões de Livros em Português Brasileiro Usando Diferentes Métodos de Extração de Características

  • Larissa Britto Universidade Federal Rural de Pernambuco
  • Luciano Pacífico Universidade Federal Rural de Pernambuco

Resumo


A enorme quantidade de dados textuais disponibilizados todos os dias na internet incentivou a pesquisa em diversas áreas que processam e analisam automaticamente esses textos. Uma das áreas mais populares é Análise de Sentimentos, que apesar de ter sido um tópico amplamente discutido nos últimos anos, ainda enfrenta uma escassez de recursos disponíveis para o idioma português brasileiro. Este trabalho apresenta o processo completo de análise e classificação de sentimentos, desde o desenvolvimento de uma base de dados em português (no domínio de livros) até a classificação de sentimentos utilizando alguns dos principais classificadores da literatura e diferentes métodos de extração de características.

Palavras-chave: Análise de Sentimentos, Processamento de Linguagem Natural, Aprendizagem de Máquina, Extração de Características em Textos

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Publicado
20/10/2020
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BRITTO, Larissa; PACÍFICO, Luciano. Uma Abordagem de Classificação de Sentimentos em Revisões de Livros em Português Brasileiro Usando Diferentes Métodos de Extração de Características. In: ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL (ENIAC), 17. , 2020, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 116-127. DOI: https://doi.org/10.5753/eniac.2020.12122.

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