2025-02-282025-02-282022-12-20HANTANI, Guilherme Eiji Enomoto. Fastlattes: uma ferramenta para extração de dados acadêmicos de currículos lattes. Orientador: Reginaldo Cordeiro dos Santos Filho. 2022. 41 f. Trabalho de Conclusão de Curso (Bacharelado em Ciência da Computação) – Faculdade de Computação, Instituto de Ciências Exatas e Naturais, Universidade Federal do Pará, Belém, 2022. Disponível em:. Acesso em:.https://bdm.ufpa.br/jspui/handle/prefix/7757Due to the big quantity of existing Lattes resumes in the Lattes plataform, combined with the fact that the plataform disposes of few resources to visualization of quantitative data, many institutions, such as postgraduate programs, need to make the accounting of scientific works by hand, leading to an exausting and laborious process, prone to mistakes. Thus, the objective of this paper is developing an web system capable of extracting, in an automatic way, data and information from an set of Lattes resumes, and presenting statistic info through visual graphs generated by it. For that, two requirements lists were defined, functional and not-functional, in addition to a case-use UML diagram, and also, 5 Python external libraries were selected to assist in the development of the tool. The web system also counts with another visual resource, word clouds, which are capable of capturing the frequency of which some important words repeat themselves on the resume of the researcher, informing the user about the occupational profile of the researcher. The aplication is also publicly avaiable and can be used to analyze an particular resume of a researcher, or to do joint analyzes, considering, for example, an whole postgraduate program collegiate.Acesso AbertoLattesExtração de dadosPythonAutomatizaçãoData extractionPythonAutomationCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAOTrabalho de Curso - Graduação - Monografia