Zanon, André Levi 
; Souza, Luan Soares de ; Pressato, Diany ; Manzato, Marcelo Garcia
Fonte: Expert Systems. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, ALGORITMOS ÚTEIS E ESPECÍFICOS
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ZANON, André Levi et al. A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations. Expert Systems, v. 39, n. 8, p. Se 2022, 2022Tradução . . Disponível em: https://doi.org/10.1111/exsy.12991. Acesso em: 08 set. 2024.APA
Zanon, A. L., Souza, L. S. de, Pressato, D., & Manzato, M. G. (2022). A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations. Expert Systems, 39( 8), Se 2022. doi:10.1111/exsy.12991NLM
Zanon AL, Souza LS de, Pressato D, Manzato MG. A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations [Internet]. Expert Systems. 2022 ; 39( 8): Se 2022.[citado 2024 set. 08 ] Available from: https://doi.org/10.1111/exsy.12991Vancouver
Zanon AL, Souza LS de, Pressato D, Manzato MG. A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations [Internet]. Expert Systems. 2022 ; 39( 8): Se 2022.[citado 2024 set. 08 ] Available from: https://doi.org/10.1111/exsy.12991
