Evaluating topic models in portuguese political comments about bills from Brazil's chamber of deputies (2021)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; TARREGA, JOÃO PEDRO MANTOVANI - ICMC ; BEINOTTI, JOAO VITOR PATACA - ICMC ; SILVA, NADIA FELIX FELIPE DA - ICMC ; SILVA, MARÍLIA COSTA ROSENDO - ICMC ; PEREIRA, FABIOLA SOUZA FERNANDES - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-030-91699-2_8
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; RECONHECIMENTO DE TEXTO; LINGUÍSTICA DE CORPUS; APRENDIZADO COMPUTACIONAL; PORTUGUÊS DO BRASIL; PARTICIPAÇÃO POLÍTICA; LEGISLAÇÃO
- Keywords: Topic models; Language models; Sentence embeddings
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Artificial Intelligence
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 13074, p. 104–120, 2021
- Conference titles: Brazilian Conference on Intelligent Systems - BRACIS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SILVA, Nádia Felix Felipe da et al. Evaluating topic models in portuguese political comments about bills from Brazil's chamber of deputies. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91699-2_8. Acesso em: 27 dez. 2025. , 2021 -
APA
Silva, N. F. F. da, Silva, M. C. R., Pereira, F. S. F., Tarrega, J. P. M., Beinotti, J. V. P., Fonseca, M., et al. (2021). Evaluating topic models in portuguese political comments about bills from Brazil's chamber of deputies. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-91699-2_8 -
NLM
Silva NFF da, Silva MCR, Pereira FSF, Tarrega JPM, Beinotti JVP, Fonseca M, Andrade FE, Carvalho ACP de LF de. Evaluating topic models in portuguese political comments about bills from Brazil's chamber of deputies [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 104–120.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_8 -
Vancouver
Silva NFF da, Silva MCR, Pereira FSF, Tarrega JPM, Beinotti JVP, Fonseca M, Andrade FE, Carvalho ACP de LF de. Evaluating topic models in portuguese political comments about bills from Brazil's chamber of deputies [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 104–120.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_8 - Gradient boosting machine and LSTM network for online harassment detection and categorization in social media
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Informações sobre o DOI: 10.1007/978-3-030-91699-2_8 (Fonte: oaDOI API)
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