Aplicação da Linguagem Python no Search Engine Optimization: Explorando sua Contribuição para a Análise de Dados

Authors

DOI:

https://doi.org/10.4301/S1807-1775202623004

Keywords:

Python; Search Engine Optimization; Análise de dados; Automação

Abstract

Este estudo investiga a contribuição da linguagem Python na análise e otimização de dados para Search Engine Optimization (SEO), com foco na organização e recuperação da informação. Adota-se uma abordagem teórico-exploratória, fundamentada em levantamento bibliográfico em bases reconhecidas, como Scopus e Web of Science, além da análise de ferramentas especializadas em SEO. O estudo identificou que Python, por meio de bibliotecas como Pandas e NumPy, permite a automação de processos essenciais, como extração de dados, análise de palavras-chave e modelagem preditiva de padrões de indexação. Os resultados apontam que a aplicação dessas ferramentas melhora a eficiência das estratégias de Search Engine Optimization, tornando-as mais precisas e baseadas em dados. Além disso, destaca-se a interseção entre Ciência da Informação e Ciência da Computação, evidenciando como a programação pode contribuir para a estruturação semântica e organização dos conteúdos digitais. Conclui-se que Python oferece soluções eficazes para a automação e análise preditiva no Search Engine Optimization, potencializando a visibilidade e recuperação da informação nos motores de busca. Sugere-se a realização de estudos experimentais para validar a aplicação prática dessas técnicas em cenários reais.

Author Biographies

Felipe Ivo da Silva, Universidade Federal de São Carlos (UFSCar), São Carlos, SP, Brasil

PhD candidate in Computer Science at the Federal University of São Carlos (UFSCar), Master's degree in Information Science from the same institution, postgraduate degree in Data Science from Anhembi Morumbi University (2024), and Bachelor's degree in Database Management from Estácio Ribeirão Preto University Center (2022). Currently, he teaches in the Multiplatform Software Development course at the Faculty of Technology of São Paulo and is a research fellow at the Brazilian Institute of Information in Science and Technology (IBICT), linked to the Ministry of Science, Technology and Innovation (MCTI). He is a member of the research groups Data and Metadata (GPDM), Laboratory for Information Organization and Processing, and Laboratory for Studies and Practices in Information Organization and Technologies (LOITec).

Gustavo Camossi, Centro Universitário Euripedes de Marília (UNIVEM), Marília, SPBrasil. Universidade Estadual Paulista - UNESP, Marilia, SP, Brasil

Currently pursuing a PhD in Information Science, Master's degree in Information Science - Area of ​​concentration: Information, Technology and Knowledge from the São Paulo State University (Unesp). Bachelor's degree in Administration with a specialization in Marketing from the Eurípedes de Marília University Center (UNIVEM). Specialist in Logistics from the Lins University Center (UNILINS), graduated in Technology in Systems Analysis and Development (FATEC - Garça). Specialist in Data Science and Big Data from the Pontifical Catholic University of Campos de Minas Gerais (PUC Minas). Member of the Research Groups New Technologies in Information (GPNTI-Unesp).

Marilde Terezinha Prado Santos, Universidade Federal de São Carlos (UFSCar), São Carlos, SP, Brasil

Associate Professor at the Center for Exact Sciences and Technology/Department of Computer Science, Federal University of São Carlos. PhD in Science with emphasis in Computational Physics from the University of São Paulo (2000). Master's degree in Computer Science from the Federal University of São Carlos (1994) and Bachelor's degree in Informatics from the Pontifical Catholic University of Rio Grande do Sul (1991). Main areas of interest: engineering and applications of crisp and fuzzy ontologies, information retrieval, data mining, data integration and semantic web.

Cecílio Merlotti Rodas, Universidade Estadual Paulista (UNESP), Votuporanga, SP, Brasil. Instituto Federal de Educação, Ciência e Tecnologia de São Paulo, Votuporanga, SP, Brasil

Doctor of Information Science from UNESP, researching Eye Tracking technology and its application in the context of User Experience, in the research lines of Digital Information Environments and Digital Information Architecture. Member of the Research Group "New Technologies in Information", UNESP. Member of the Research Group "Information and Knowledge in Cyberspace", UEL. Reviewer for scientific journals in Information Science. Master's degree in Electrical Engineering from the Universidade Estadual Paulista Júlio de Mesquita Filho (2004), area of ​​concentration Computer Science and Automation; Bachelor's degree in Computer Science from the Centro Universitário de Votuporanga (2000); Bachelor's degree in Informatics from the Universidade Católica de Brasília (2008); Specialist in Databases from Wpos (2012). Professional activity: Professor at the Instituto Federal de São Paulo - Campus de Votuporanga on an Exclusive Dedication Regime (RDE). Lecturer at Unesp in Marília, in the Postgraduate Program in Information Science.

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Published

2026-04-16

How to Cite

Ivo da Silva, F., Camossi, G., Prado Santos, M. T., & Merlotti Rodas, C. (2026). Aplicação da Linguagem Python no Search Engine Optimization: Explorando sua Contribuição para a Análise de Dados. Journal of Information Systems and Technology Management, 23. https://doi.org/10.4301/S1807-1775202623004

Issue

Vol. 23 (2026)

Section

Articles

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