Busca avançada
Ano de início
Entree


Network Analysis and Natural Language Processing to Obtain a Landscape of the Scientific Literature on Materials Applications

Texto completo
Autor(es):
Brito, Ana Caroline M. ; Oliveira, Maria Cristina F. ; Oliveira Jr, Osvaldo N. ; Silva, Filipi N. ; Amancio, Diego R.
Número total de Autores: 5
Tipo de documento: Artigo Científico
Fonte: ACS APPLIED MATERIALS & INTERFACES; v. 15, n. 23, p. 10-pg., 2023-06-04.
Resumo

Recent progress in natural languageprocessing (NLP) enables miningthe literature in various tasks akin to knowledge discovery. Obtainingan updated birds-eye view of key research topics and their evolutionin a vast, dynamic field such as materials science is challengingeven for experienced researchers. In this Perspective paper, we presenta landscape of the area of applied materials in selected representativejournals based on a combination of methods from network science andsimple NLP strategies. We found a predominance of energy-related materials,e.g., for batteries and catalysis, organic electronics, which includeflexible sensors and flexible electronics, and nanomedicine with varioustopics of materials used in diagnosis and therapy. As for the impactcalculated through standard metrics of impact factor, energy-relatedmaterials and organic electronics are again top of the list acrossdifferent journals, while work in nanomedicine has been found to havea lower impact in the journals analyzed. The adequacy of the approachto identify key research topics in materials applications was verifiedindirectly by comparing the topics identified in journals with diversescopes, including journals that are not specific to materials. Theapproach can be employed to obtain a fast overview of a given fieldfrom the papers published in related scientific journals, which canbe adapted or extended to any research area. (AU)

Processo FAPESP: 20/14817-2 - Usando redes complexas e processamento de línguas naturais para caracterização e previsão de sucesso na Ciência
Beneficiário:Ana Caroline Medeiros Brito
Modalidade de apoio: Bolsas no Brasil - Doutorado
Processo FAPESP: 20/06271-0 - Combinando redes complexas e word embeddings em tarefas de classificação de textos
Beneficiário:Diego Raphael Amancio
Modalidade de apoio: Auxílio à Pesquisa - Regular
Processo FAPESP: 18/22214-6 - Rumo à convergência de tecnologias: de sensores e biossensores à visualização de informação e aprendizado de máquina para análise de dados em diagnóstico clínico
Beneficiário:Osvaldo Novais de Oliveira Junior
Modalidade de apoio: Auxílio à Pesquisa - Temático