Results 151 to 160 of about 34,920 (220)

Finding competitors using Latent Dirichlet Allocation

, 2016
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

An overview of literature on COVID-19, MERS and SARS: Using text mining and latent Dirichlet allocation. [PDF]

J Inf Sci, 2022
Cheng X, Cao Q, Liao SS.
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]

BMC Med Inform Decis Mak
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]

Healthcare (Basel)
Siteneski A, Montes-Escobar K, de la Hoz-M J, Lapo-Talledo GJ, Gutiérrez Moreno G, Carlin Chavez E, Caicedo Quiroz R, Borja-Cabrera GP.   +7 more
europepmc   +1 more source

Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses.

J Med Internet Res, 2023
Parker MA, Valdez D, Rao VK, Eddens KS, Agley J.   +4 more
europepmc   +1 more source

LDAPrototype: a model selection algorithm to improve reliability of latent Dirichlet allocation. [PDF]

PeerJ Comput Sci
Rieger J, Jentsch C, Rahnenführer J.
europepmc   +1 more source

Examining Analytic Practices in Latent Dirichlet Allocation Within Psychological Science: Scoping Review.

J Med Internet Res, 2022
Hagg LJ, Merkouris SS, O'Dea GA, Francis LM, Greenwood CJ, Fuller-Tyszkiewicz M, Westrupp EM, Macdonald JA, Youssef GJ.   +8 more
europepmc   +1 more source

Latent DIRICHLET allocation (LDA) based information modelling on BLOCKCHAIN technology: a review of trends and research patterns used in integration. [PDF]

Multimed Tools Appl, 2022
Sharma C, Sharma S, Sakshi.
europepmc   +1 more source

Latent Dirichlet allocation mixture models for nucleotide sequence analysis. [PDF]

NAR Genom Bioinform
Wang B, Mount SM.
europepmc   +1 more source

Text mining of Reddit posts: Using latent Dirichlet allocation to identify common parenting issues. [PDF]

PLoS One, 2022
Westrupp EM, Greenwood CJ, Fuller-Tyszkiewicz M, Berkowitz TS, Hagg L, Youssef G.   +5 more
europepmc   +1 more source