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English Information

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Authors
# Name
1 Annie Amorim(annieamorim@id.uff.br)
2 Nils Murrugarra-Llerena(nmurrugarrallerena@weber.edu)
3 Vítor Silva(silva@cos.ufrj.br)
4 Daniel de Oliveira(danielcmo@ic.uff.br)
5 Aline Paes(alinepaes@ic.uff.br)

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Reference
# Reference
1 Allahyari, M., Pouriyeh, S., Kochut, K. J., and Arabnia, H. R. (2017). A knowledge-based topic modeling approach for automatic topic labeling. International Journal of Advanced Computer Science and Applications, 8:335–349.
2 Amorim, A., Murrugarra-Llerena, N., Silva, V., de Oliveira, D., and Paes, A. (2022). Modelagem de tópicos em textos curtos: uma avaliação experimental. In SBBD, pages 254– 266.
3 Baratieri,T.,Lentsck,M.H.,Peres,C.K.,and de Brito Pitilin, É.(2021). Modelagem de tópicos de pesquisa sobre o novo coronavírus: aplicação do latent dirichlet allocation. Ciência, Cuidado e Saúde.
4 Bhatia, S., Lau, J. H., and Baldwin, T. (2016). Automatic labeling of topics with neural embeddings. CoRR, abs/1612.05340.
5 Blei, D., Carin, L., and Dunson, D. (2010). Probabilistic topic models. IEEE Signal Pro- cessing Magazine, 27(6):55–65.
6 Kozbagarov, O., Mussabayev, R., and Mladenovic ́, N. (2021). A new sentence-based interpretative topic modeling and automatic topic labeling. Symmetry, 13:837.
7 Lau, J. H., Grieser, K., Newman, D., and Baldwin, T. (2011). Automatic labeling of topic models. In Proceedings of the 49th annual meeting of the association for computational linguistics: human language technologies, pages 1536–1545, Portland, Oregon, USA.
8 Praveen, SV e Vajrobol, V. (2023). O chatgpt pode ser confiável para consultoria? desvendando as percepções do médico usando técnicas de aprendizagem profunda. Anais de Engenharia Biomédica, pages 1–4.