Keyword co-occurrence networks: theses and dissertations in Information Science

The large volume of data produced, stored and made available for access made computers essential to transform them into processable information by man. With text mining, the extracted words can be used in pointing out the relationships between textual elements that are internal or external to them....

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Detalles Bibliográficos
Autores: Marques, Francis Bento, Marques, Yuri Bento, Maculan, Benildes Coura Moreira dos Santos
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:Brasil
Institución:Universidade Federal de Minas Gerais (UFMG)
Repositorio:Múltiplos Olhares em Ciência da Informação
Idioma:portugués
OAI Identifier:oai:periodicos.ufmg.br:article/37157
Acceso en línea:https://periodicos.ufmg.br/index.php/moci/article/view/37157
Access Level:acceso abierto
Palabra clave:Padrões de coocorrência
Dados Capes
Inteligência Artificial
Co-occurrence standards.
Data Capes
Artificial Intelligence
Descripción
Sumario:The large volume of data produced, stored and made available for access made computers essential to transform them into processable information by man. With text mining, the extracted words can be used in pointing out the relationships between textual elements that are internal or external to them. This study presents an ongoing research that seeks to discover patterns of co-occurrence of keywords in dissertations and theses in the domain of Brazilian Information Science, using artificial intelligence techniques applied to open data from the Coordination for the Improvement of Personnel of Higher Level (Capes). The methodology is characterized as applied in nature, with exploratory and descriptive objectives, and with quantitative and qualitative analysis procedures. The method used is quantitative, in the form of a metric study, with the analysis based on the principles of graph theory. It is expected that the results show the possibility of partnerships between researchers, research trends, underexplored themes, among other elements.