Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Nunes, N., Peixoto, A. & de Almeida, A. (2025). Singularity Score for Evaluating Topic Relevance in Tiny Text. RecPad 2025: Portuguese Conference on Pattern Recognition,.
Exportar Referência (IEEE) 
N. L. Nunes et al.,  "Singularity Score for Evaluating Topic Relevance in Tiny Text", in RecPad 2025: Portuguese Conf. on Pattern Recognition, 2025
Exportar BibTeX 
@misc{nunes2025_1791222844241,
	author = "Nunes, N. and Peixoto, A. and de Almeida, A.",
	title = "Singularity Score for Evaluating Topic Relevance in Tiny Text",
	year = "2025"
}
Exportar RIS 
TY  - CPAPER
TI  - Singularity Score for Evaluating Topic Relevance in Tiny Text
T2  - RecPad 2025: Portuguese Conference on Pattern Recognition
AU  - Nunes, N.
AU  - Peixoto, A.
AU  - de Almeida, A.
PY  - 2025
AB  - Topic modeling is a challenging task on its own, and when the text being analyzed is very short, the challenge increases significantly, as there are no reliable metrics to evaluate the quality of the generated topics. In this study, several experiments are conducted using different preprocessing methods and various topic modeling techniques to determine which approach produces the best results. The singularity score is also proposed as a metric to evaluate the quality of the topics created.
ER  -