Source: Expert Systems. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, ALGORITMOS ÚTEIS E ESPECÍFICOS
ABNT
ZANON, André Levi; MANZATO, Marcelo Garcia; SOUZA, Luan Soares de; PRESSATO, Diany. A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations. Expert Systems, Hoboken, 2022. Disponível em: < https://doi.org/10.1111/exsy.12991 > DOI: 10.1111/exsy.12991.APA
Zanon, A. L., Manzato, M. G., Souza, L. S. de, & Pressato, D. (2022). A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations. Expert Systems. doi:10.1111/exsy.12991NLM
Zanon AL, Manzato MG, Souza LS de, Pressato D. A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations [Internet]. Expert Systems. 2022 ;Available from: https://doi.org/10.1111/exsy.12991Vancouver
Zanon AL, Manzato MG, Souza LS de, Pressato D. A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations [Internet]. Expert Systems. 2022 ;Available from: https://doi.org/10.1111/exsy.12991