Mining scientific texts: analysis of articles from Brazilian Scientific Journals in the Information Science area

• Autor(a) principal: Ferreira, Márcio Henrique Wanderley
• Data de Publicação: 2020
• Outros Autores: Correa, Renato Fernandes
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Em Questão (Online)
• Texto Completo: https://seer.ufrgs.br/index.php/EmQuestao/article/view/99724
• topic: Estudos Métricos da Informação; Descoberta de conhecimento em bases de dados; Mineração de texto; Mineração de textos científicos; Ciência da Informação; Metric Studies of Information. Knowledge Discovery in Databases. Text mining. Scientific Text Mining. Information Science.

This work analyzes articles from Brazilian Scientific Journals of the Information Science area about text mining and knowledge discovery in texts. It analyses articles indexed by Brapci or Scielo that contain the compound terms text mining or knowledge discovery in the metadata, and specifically address the application of text mining techniques. The research methodology is exploratory, bibliographic, and qualitative and quantitative, based on the procedures of metric study and content analysis. As results, we discuss the temporal distribution of the works, the authors' affiliation entities, and characterize the methodological procedures and results of the works related to the mining of scientific texts. It concludes that over 18 years, 28 publications discusses about forms of knowledge discovery through text mining. Among these, 13 deal with the mining of scientific texts, of which nine have an applied nature, and these are analyzed more deeply.