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
Identifying Topics and Evolutionary Trends of Literature on Brain Metastases Using Latent Dirichlet Allocation. [PDF]
Chen J, Williams M, Huang Y, Si S.
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
Communication-Efficient Parallel Belief Propagation for Latent Dirichlet Allocation [PDF]
Jianfeng Yan +3 more
openalex +1 more source
Finding competitors using Latent Dirichlet Allocation
Identifying business competitors is of interest to many, but is becoming increasingly hard in an expanding global market. The aim of this report is to investigate whether Latent Dirichlet Allocation (LDA) can be used to identify and rank competitors based on distances between LDA representations of company descriptions. The performance of the LDA model
Arnekvist, Isac, Ericson, Ludvig
openaire +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
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
Depression and Anxiety in Patients with Psoriasis: A Comprehensive Analysis Combining Bibliometrics, Latent Dirichlet Allocation, and HJ-Biplot. [PDF]
Siteneski A +7 more
europepmc +1 more source

