Automatic detection of depression from text data: A systematic literacture review (2020)
Source: Proceedings. Conference titles: Brazilian Symposium on Information Systems - SBSI. Unidade: EACH
Subjects: DEPRESSÃO, REDES SOCIAIS, RECONHECIMENTO DE PADRÕES, RECONHECIMENTO DE TEXTO
ABNT
MAGAMI, Felipe Morine e DIGIAMPIETRI, Luciano Antonio. Automatic detection of depression from text data: A systematic literacture review. 2020, Anais.. New York: ACM, 2020. Disponível em: https://doi.org/10.1145/3411564.3411603. Acesso em: 13 out. 2024.APA
Magami, F. M., & Digiampietri, L. A. (2020). Automatic detection of depression from text data: A systematic literacture review. In Proceedings. New York: ACM. doi:10.1145/3411564.3411603NLM
Magami FM, Digiampietri LA. Automatic detection of depression from text data: A systematic literacture review [Internet]. Proceedings. 2020 ;[citado 2024 out. 13 ] Available from: https://doi.org/10.1145/3411564.3411603Vancouver
Magami FM, Digiampietri LA. Automatic detection of depression from text data: A systematic literacture review [Internet]. Proceedings. 2020 ;[citado 2024 out. 13 ] Available from: https://doi.org/10.1145/3411564.3411603