AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women

AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women

Topic modeling is a crucial technique in natural language processing (NLP), enabling the extraction of latent themes from large text corpora. Traditional topic modeling, such as Latent Dirichlet Allocation (LDA), faces limitations in capturing the semantic relationships in the text document although...

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Bibliographic Details
Main Authors: Li Ma, Ru Chen, Weigong Ge, Paul Rogers, Beverly Lyn-Cook, Huixiao Hong, Weida Tong, Ningning Wu, Wen Zou
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Experimental Biology and Medicine
Subjects:
AI
BERTopic
topic modeling
opioid
cardiovascular risks
Online Access:https://www.ebm-journal.org/articles/10.3389/ebm.2025.10389/full
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https://www.ebm-journal.org/articles/10.3389/ebm.2025.10389/full

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