TY  - CHAP 
AU  - Sharfuddin Mim, Sheikh
AU  - Logofatu, Doina
AU  - Guerrero Contreras, Gabriel José
AU  - Medina Bulo, María Inmaculada
A4  - Ingeniería Informática
PY  - 2024
SN  - 979-8-3503-6813-0
SN  - 2768-7295
UR  - http://hdl.handle.net/10498/34112
AB  - Efficiently comprehending vast volumes of text, particularly in scientific literature, is a formidable challenge for researchers. To alleviate this burden, this paper investigates the application of topic modeling and extractive summarization...
LA  - eng
PB  - IEEE
KW  - text mining
KW  - extractive summarization
KW  - NeurIPS papers
KW  - LDA
KW  - pLSA
KW  - topic modeling
TI  - Leveraging Topic Modeling and Extractive Summarization for Unlocking Insights from NeurIPS Papers
DO  - 10.1109/INISTA62901.2024.10683818
ER  -