Using citation networks to evaluate the impact of text length on keyword extraction (2023)
Source: PLOS ONE. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, REDES COMPLEXAS
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: 02 out. 2024.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.0294500NLM
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 2024 out. 02 ] Available from: https://doi.org/10.1371/journal.pone.0294500Vancouver
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 2024 out. 02 ] Available from: https://doi.org/10.1371/journal.pone.0294500