Latent Dirichlet allocation topic modeling of free-text responses exploring the negative impact of the early COVID-19 pandemic on research in nursing. [PDF]
Inoue M +4 more
europepmc +1 more source
Latent Dirichlet Allocation reveals tomato root-associated bacterial interactions responding to hairy root disease. [PDF]
Huo P +3 more
europepmc +1 more source
Public sentiment analysis on urban regeneration: A massive data study based on sentiment knowledge enhanced pre-training and latent Dirichlet allocation. [PDF]
Chen K, Wei G.
europepmc +1 more source
LLM-LDA: Large Language Model Augmented Latent Dirichlet Allocation
Topic modeling uncovers latent themes in text, with popular methods including Latent Dirichlet Allocation (LDA) and BERTopic. LDA models documents as mixtures of topics but ignores word order by representing documents as bag-of-words.
Sahak, Esmat Ullah
core
Latent Dirichlet Allocation offers the chance to discover semantic rules for land cover ...
Bratasanu, Dragos +2 more
core
Using Latent Dirichlet Allocation Topic Modeling to Uncover Latent Research Topics and Trends in Renal Cell Carcinoma: Bibliometric Review. [PDF]
De La Hoz-M J +4 more
europepmc +1 more source
An overview of literature on COVID-19, MERS and SARS: Using text mining and latent Dirichlet allocation. [PDF]
Cheng X, Cao Q, Liao SS.
europepmc +1 more source
Improving optimal prompt learning through multilayer fusion and latent dirichlet allocation. [PDF]
Chen Q +4 more
europepmc +1 more source
Public Attention to Mpox in China During the Pandemic: Qualitative Analysis of TikTok Data Using Latent Dirichlet Allocation Topic Modeling. [PDF]
Luo D +9 more
europepmc +1 more source
Trends and methods in intensive care unit (ICU) research using machine learning: latent dirichlet allocation (LDA)-based thematic literature review. [PDF]
Topaloğlu D, Polat O.
europepmc +1 more source

