Detalhes da Produção

TipoTrabalho em Eventos
GrupoProdução Bibliográfica
DescriçãoMACHADO, LEANDRO BERTANI ; MORESI, Eduardo Amadeu Dutra ; FERNEDA, Edilson ; PRADO, HÉRCULES ANTONIO DO. BiB-Ana: a tool to detect emerging technologies through topic modeling and Generative Artificial Intelligence. In: 2023 18th Iberian Conference on Information Systems and Technologies (CISTI), 2023, Aveiro. Anais do 2023 18th Iberian Conference on Information Systems and Technologies (CISTI), 2023. v. . p. 1-.
AutorHercules Antonio do Prado
Ano2023

Informações Complementares

Ano de Realização2023
Ano do Trabalho2023
Cidade do EventoAveiro
Classificação do EventoINTERNACIONAL
Descrição e Informações AdicionaisScientific production has grown significantly in recent years. Due to the considerable and increasing volume of data obtained from these publications, methods, techniques, and methodological tools and computational applications are required for bibliographic and bibliometric surveys. However, the bibliometric tools available on the market do not have all the necessary functions for a complete analysis in a single application, requiring the orchestration of a set of tools. This work presents a tool for detecting emerging technologies through topic modeling and generative artificial intelligence. Finally, the tool was applied to analyze the convergence of themes between Science (scientific articles) and Technology (patents) for the subject of virtual world, where it was possible to highlight seven topics of convergence.
Divulgação CientíficaNAO
DOI10.23919/cisti58278.2023.10211804
IdiomaPortuguês
ISBN9789893347928
Meio de DivulgaçãoMEIO_DIGITAL
NaturezaCOMPLETO
Nome do Evento2023 18th Iberian Conference on Information Systems and Technologies (CISTI)
Página Inicial1
País do EventoBrasil
RelevânciaNAO
Título dos Anais ou Proceedings2023 18th Iberian Conference on Information Systems and Technologies (CISTI)
Título do TrabalhoBiB-Ana: a tool to detect emerging technologies through topic modeling and Generative Artificial Intelligence