Using citation networks to evaluate the impact of text length on keyword extraction (2023)
- Authors:
- USP affiliated authors: AMANCIO, DIEGO RAPHAEL - ICMC ; TOHALINO, JORGE ANDONI VALVERDE - ICMC
- Unidade: ICMC
- DOI: 10.1371/journal.pone.0294500
- Subjects: MINERAÇÃO DE DADOS; RECONHECIMENTO DE TEXTO; REDES COMPLEXAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: San Francisco
- Date published: 2023
- Source:
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
TOHALINO, Jorge Andoni Valverde e SILVA, Thiago Christiano e AMANCIO, Diego Raphael. Using citation networks to evaluate the impact of text length on keyword extraction. PLoS ONE, v. 18, n. 11, p. 1-17, 2023Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0294500. Acesso em: 26 jan. 2026. -
APA
Tohalino, J. A. V., Silva, T. C., & Amancio, D. R. (2023). Using citation networks to evaluate the impact of text length on keyword extraction. PLoS ONE, 18( 11), 1-17. doi:10.1371/journal.pone.0294500 -
NLM
Tohalino JAV, Silva TC, Amancio DR. Using citation networks to evaluate the impact of text length on keyword extraction [Internet]. PLoS ONE. 2023 ; 18( 11): 1-17.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1371/journal.pone.0294500 -
Vancouver
Tohalino JAV, Silva TC, Amancio DR. Using citation networks to evaluate the impact of text length on keyword extraction [Internet]. PLoS ONE. 2023 ; 18( 11): 1-17.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1371/journal.pone.0294500 - On predicting research grants productivity via machine learning
- Using word embedding to detect keywords in texts modeled as complex networks
- Using virtual edges to improve the discriminability of co-occurrence text networks
- Analyzing the relationship between text features and grants productivity
- Usando redes complexas e processamento de línguas naturais para caracterizar e classificar itens científicos
- Extractive document summarization using complex networks
- A perspective on the advancement of natural language processing tasks via topological analysis of complex networks: comment on "Approaching human language with complex networks" by Cong and Liu. [Carta]
- Extractive multi-document summarization using multilayer networks
- Probing the topological properties of complex networks modeling short written texts
- Network analysis of named entity co-occurrences in written texts
Informações sobre o DOI: 10.1371/journal.pone.0294500 (Fonte: oaDOI API)
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