Publication: A mineração de textos em aplicações de pesquisa e desenvolvimento (P&D)
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2015-11-17
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Universidad Complutense de Madrid
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A área de Recuperação da Informação (RI) é objeto de pesquisa e estudo na Ciência da Informação e suas técnicas estão presentes dentro dos mais variados processos. A mineração de textos é uma das técnicas do aprendizado de máquina aplicada à Recuperação da Informação (RI) e sua utilização atinge até o mais crítico processo em empresas e organizações, sendo, uma delas, o processo de Pesquisa e Desenvolvimento (P&D). O estudo realiza uma análise de artigos científicos que apresentaram o uso da mineração de textos para aplicação em P&D em três bases de dados referenciais: Web of Science (WoS), SCOPUS, e LISA. Com a utilização da análise bibliográfica, são apresentados aspectos da utilização da mineração de textos, aspectos da aplicação em P&D e detalhes desta aplicação aos artigos que apresentaram pertinência com o objetivo da pesquisa. Os principais resultados são apresentados em tabelas com os agrupamentos dos artigos onde a mineração de textos é utilizada para análise de Patentes, análise de bases especializadas e análise da internet. Foi observado duas grandes vertentes no uso da Mineração de Textos para P&D: na análise de patentes e na análise de bases especializadas onde neste último é predominante o uso na área da saúde.
The area of Information Retrieval (IR) is the subject of research and study in Information Science and its techniques are present within the various processes. The text mining is one of the techniques applied to IR and utilization reaches even the most critical process in companies and organizations one being the process of research and development (R & D) machine learning. The study presents an analysis of scientific articles that showed the use of text mining for use in R & D in three reference databases: Web of Science (WoS), SCOPUS, and LISA. Using content analysis aspects of the use of text mining, aspects of the application in R & D of this application and details of the items that had relevance to the purpose of the research are presented. The main results are presented in tables with groupings of articles Patent analysis, analysis of specialized databases and analysis of internet. Two major strands was observed in the use of Text Mining for R & D: in patent analysis and analysis of specialized databases where the latter is the predominant in the health area.
The area of Information Retrieval (IR) is the subject of research and study in Information Science and its techniques are present within the various processes. The text mining is one of the techniques applied to IR and utilization reaches even the most critical process in companies and organizations one being the process of research and development (R & D) machine learning. The study presents an analysis of scientific articles that showed the use of text mining for use in R & D in three reference databases: Web of Science (WoS), SCOPUS, and LISA. Using content analysis aspects of the use of text mining, aspects of the application in R & D of this application and details of the items that had relevance to the purpose of the research are presented. The main results are presented in tables with groupings of articles Patent analysis, analysis of specialized databases and analysis of internet. Two major strands was observed in the use of Text Mining for R & D: in patent analysis and analysis of specialized databases where the latter is the predominant in the health area.
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