Mineração da Opinião sobre Aspectos de Candidatos a Eleições em Comentários de Notícias

The automatic classification of opinions about aspects of political candidates, from public web data, is a complex Opinion Mining problem. This paper describes a case study of aspect-based opinion mining in the context of comments that newspaper readers express about political news. Our challenge is to identify and summarize opinions on aspects of election candidates, using an ill-structured source of opinion. Our case study propose techniques that can be used to identify, classify and summarize opinions on Health and Education issued by readers about political candidates.

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