Processing of computer algorithms for traceability identification in scientific research

Revista de Gestão e Secretariado (Management and Administrative Professional Review), vol. 15, pp. e3887

Abstract

Considering that scientific research is an essential part of the development of new knowledge and a multidisciplinary, time-consuming and error-prone task, it must be conducted under verifiable conditions in order to contribute to safe decision-making. The aim is to extract quality information from scientific articles automatically, presenting reliable, traceable and safe knowledge. To this end, this study investigates the perspective of identifying traceability and reproducibility patterns, using algorithmic Natural Language Processing methods, to demonstrate the identification of information contained in scientific articles, regardless of the research area. Therefore, in this work, the languages ​​Naive Bayes (NB), Cosine Similarity, Bag of Words (BOW) and Neural Networks (RN) were used for this purpose. As a result, it was possible to identify nine traceability patterns in the articles analyzed and propose an Artificial Intelligence model using algorithms with a minimum accuracy of 70%, demonstrating the traceability and reproducibility of the scientific articles analyzed.

Authors 5

1. Hilda Carolina de Jesus Rios Fraga
   Affiliation as printed

   Revista de Gestão e Secretariado -GeSec, V. 15, N. 7, P. 01-22, 2024 São José dos Pinhais, Paraná, Brasil

2. Vagner de Oliveira Machado
   Affiliation as printed

   Revista de Gestão e Secretariado -GeSec,

3. Amanda Mendes Santos

   Instituto Federal da Bahia · Instituto Federal de Educação, Ciência e Tecnologia Baiano

   Affiliation as printed

   Graduating in Systems Analysis and Development. Instituto Federal de Educação, Ciência e Tecnologia da Bahia (IFBA). Salvador, Bahia, Brazil

4. Bruno Santos Oliveira

   Universidade do Estado da Bahia

   Affiliation as printed

   Graduated in Information Systems. Universidade do Estado da Bahia (UNEB). Salvador, Bahia, Brazil

5. Antônio Carlos dos Santos Souza Aachen Cosine Similarity

   Universidade Federal da Bahia · Instituto Federal da Bahia · Universidade do Estado da Bahia · Universidade do Estado de Minas Gerais · Cosine (Netherlands)

   Affiliation as printed

   Cosine Similarity, Bag of Words

   PPGDC). Universidade Federal da Bahia (UFBA). Salvador, Bahia, Brazil

   Paulo, SP, v. XX, n. X, 202X, p. XX-XX

   Procesamiento del Lenguaje Natural, para demostrar la identificación de información contenida en artículos científicos, independientemente del área de investigación. Por ello, en este trabajo se utilizaron para este fin los lenguajes Naive Bayes (NB),

   São José dos Pinhais, Paraná, Brasil

   Universidade Federal da Bahia, Instituto Federal de Educação, Ciência e Tecnologia da Bahia, Universidade do Estado da Bahia (UFBA/IFBA/UNEB)

   Universidade Federal da Bahia, Instituto Federal de Educação, Ciência e Tecnologia da Bahia, Universidade do Estado da Bahia (UFBA/IFBA/UNEB). Salvador, Bahia, Brazil

   Universidade do Estado de Minas Gerais. Frutal, Minas Gerais, Brazil

   informações de qualidade de artigos científicos de modo automatico, apresentando Revista de Gestão e Secretariado -GeSec, V. 15, N. 7, P. 01-22, 2024 São José dos Pinhais, Paraná, Brasil