Matsuno, Ivone P; Rossi, Rafael G; Marcacini, Ricardo Marcondes 
; Rezende, Solange Oliveira
Fonte: Journal of Information and Data Management - JIDM. Unidade: ICMC
Assuntos: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATSUNO, Ivone P et al. Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks. Journal of Information and Data Management - JIDM, v. 7, n. 2, p. 141-154, 2016Tradução . . Disponível em: https://seer.ufmg.br/index.php/jidm/article/view/1619. Acesso em: 27 jun. 2025.APA
Matsuno, I. P., Rossi, R. G., Marcacini, R. M., & Rezende, S. O. (2016). Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks. Journal of Information and Data Management - JIDM, 7( 2), 141-154. Recuperado de https://seer.ufmg.br/index.php/jidm/article/view/1619NLM
Matsuno IP, Rossi RG, Marcacini RM, Rezende SO. Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks [Internet]. Journal of Information and Data Management - JIDM. 2016 ; 7( 2): 141-154.[citado 2025 jun. 27 ] Available from: https://seer.ufmg.br/index.php/jidm/article/view/1619Vancouver
Matsuno IP, Rossi RG, Marcacini RM, Rezende SO. Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks [Internet]. Journal of Information and Data Management - JIDM. 2016 ; 7( 2): 141-154.[citado 2025 jun. 27 ] Available from: https://seer.ufmg.br/index.php/jidm/article/view/1619
