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
- Status:
- Nenhuma versão em acesso aberto identificada
-
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: 02 abr. 2026. , 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 2026 abr. 02 ] 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 2026 abr. 02 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_8 - Feature-based time series classification for service request opening prediction in the telecom industry
- Gradient boosting machine and LSTM network for online harassment detection and categorization in social media
- UlyssesNERQ: expanding queries from brazilian portuguese legislative documents through named entity recognition
- Expanding UlyssesNER-Br named entity recognition corpus with informal user-generated text
- On the assessment of deep learning models for named entity recognition of brazilian legal documents
- Análise de sentimentos em textos curtos provenientes de redes sociais
- Segmenting brazilian legislative text using weak supervision and active learning
- Building a relevance feedback corpus for legal information retrieval in the real-case scenario of the Brazilian Chamber of Deputies
- Not only what, but also when: understanding brazilian political comments on legislative bills over time through stance detection and topic modeling
- PLN no Direito: REN
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 3057315.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
