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The use of systematic review in academia has shown considerable growth. It has often been used as a form of keyword filtering. However, a large amount of data is collected in this process, from which it is believed that more in-depth relationships can be identified, using data or text mining techniques. This study aims to identify and verify relationships between research topics, considering, as a proof of concept, papers in the journal Design Studies, through the application of Knowledge Discovery in Databases’ techniques. In a quantitative approach with a descriptive scope, a characterization of the sample of 483 articles is presented initially with descriptive statistics, encompassing keywords from metadata. Then, AlchemyAPI is used for automatic extraction of concepts and keywords, and RapidMiner Studio is used for association analysis from metadata and text mining results. It was found a recurrence of themes in Design such as Process, Cognition, Creativity, and Education. It was possible to verify, through the AlchemyAPI tool, concepts that were not expressed in papers’ keywords, which can be considered as a potential for systematic review studies. Thus, it is expected that the techniques applied here may be more explored in research on Design and other areas, as a valid support for systematic reviews of scientific publications.

Aplicação de revisão sistemática com suporte de mineração de dados e de textos: o caso do periódico Design Studies