Data science in social politics with particular emphasis on sentiment analysis (2022)
Source: Procedia Computer Science. Conference titles: International Conference on Information Technology and Quantitative Management (ITQM 2022). Unidades: FEA, ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, MÍDIAS SOCIAIS, EMOÇÕES, R (SOFTWARE ESTATÍSTICO)
ABNT
ARAMBURO, Raúl Felipe Parra et al. Data science in social politics with particular emphasis on sentiment analysis. Procedia Computer Science, v. 214, 2022Tradução . . Disponível em: https://www.sciencedirect.com/science/article/pii/S1877050922019044/pdf?md5=c9ebd0ac13f547d55a36ac39942d85a5&pid=1-s2.0-S1877050922019044-main.pdf. Acesso em: 28 ago. 2024.APA
Aramburo, R. F. P., Moreira, M. Â. L., Fávero, L. P. L., Costa, I. P. de A., & Santos, M. dos. (2022). Data science in social politics with particular emphasis on sentiment analysis. Procedia Computer Science, 214. doi:10.1016/j.procs.2022.11.194NLM
Aramburo RFP, Moreira MÂL, Fávero LPL, Costa IP de A, Santos M dos. Data science in social politics with particular emphasis on sentiment analysis [Internet]. Procedia Computer Science. 2022 ; 214[citado 2024 ago. 28 ] Available from: https://www.sciencedirect.com/science/article/pii/S1877050922019044/pdf?md5=c9ebd0ac13f547d55a36ac39942d85a5&pid=1-s2.0-S1877050922019044-main.pdfVancouver
Aramburo RFP, Moreira MÂL, Fávero LPL, Costa IP de A, Santos M dos. Data science in social politics with particular emphasis on sentiment analysis [Internet]. Procedia Computer Science. 2022 ; 214[citado 2024 ago. 28 ] Available from: https://www.sciencedirect.com/science/article/pii/S1877050922019044/pdf?md5=c9ebd0ac13f547d55a36ac39942d85a5&pid=1-s2.0-S1877050922019044-main.pdf