Fonte: Proceedings. Nome do evento: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, ALGORITMOS ÚTEIS E ESPECÍFICOS
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ZANON, André Levi et al. WordRecommender: an explainable content-based algorithm based on sentiment analysis and semantic similarity. 2020, Anais.. New York: ACM, 2020. Disponível em: https://doi.org/10.1145/3428658.3431093. Acesso em: 19 out. 2024.APA
Zanon, A. L., Souza, L. S. de, Pressato, D., & Manzato, M. G. (2020). WordRecommender: an explainable content-based algorithm based on sentiment analysis and semantic similarity. In Proceedings. New York: ACM. doi:10.1145/3428658.3431093NLM
Zanon AL, Souza LS de, Pressato D, Manzato MG. WordRecommender: an explainable content-based algorithm based on sentiment analysis and semantic similarity [Internet]. Proceedings. 2020 ;[citado 2024 out. 19 ] Available from: https://doi.org/10.1145/3428658.3431093Vancouver
Zanon AL, Souza LS de, Pressato D, Manzato MG. WordRecommender: an explainable content-based algorithm based on sentiment analysis and semantic similarity [Internet]. Proceedings. 2020 ;[citado 2024 out. 19 ] Available from: https://doi.org/10.1145/3428658.3431093