Barberia, Lorena Guadalupe 
; Schmalz, Pedro Henrique de Santana ; Roman, Norton Trevisan
Source: Anais. Conference titles: Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana - STIL. Unidades: FFLCH, EACH
Assunto: COVID-19
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ABNT
BARBERIA, Lorena Guadalupe e SCHMALZ, Pedro Henrique de Santana e ROMAN, Norton Trevisan. When tweets get viral -a deep learning approach forStance analysis of Covid-19 vaccines tweets by brazilian political elites. 2023, Anais.. Porto Alegre: SBC, 2023. Disponível em: https://sol.sbc.org.br/index.php/stil/article/view/25442/25263. Acesso em: 12 maio 2024.APA
Barberia, L. G., Schmalz, P. H. de S., & Roman, N. T. (2023). When tweets get viral -a deep learning approach forStance analysis of Covid-19 vaccines tweets by brazilian political elites. In Anais. Porto Alegre: SBC. Recuperado de https://sol.sbc.org.br/index.php/stil/article/view/25442/25263NLM
Barberia LG, Schmalz PH de S, Roman NT. When tweets get viral -a deep learning approach forStance analysis of Covid-19 vaccines tweets by brazilian political elites [Internet]. Anais. 2023 ;[citado 2024 maio 12 ] Available from: https://sol.sbc.org.br/index.php/stil/article/view/25442/25263Vancouver
Barberia LG, Schmalz PH de S, Roman NT. When tweets get viral -a deep learning approach forStance analysis of Covid-19 vaccines tweets by brazilian political elites [Internet]. Anais. 2023 ;[citado 2024 maio 12 ] Available from: https://sol.sbc.org.br/index.php/stil/article/view/25442/25263
