Results 131 to 140 of about 34,920 (220)
Latent Dirichlet Allocation in R
, 2012 Topic models are a new research field within the computer sciences information retrieval and text mining. They are generative probabilistic models of text corpora inferred by machine learning and they can be used for retrieval and text mining tasks. The most prominent topic model is latent Dirichlet allocation (LDA), which was introduced in 2003 by ...
openaire +2 more sources
Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models
Applied Stochastic Models in Business and Industry, Volume 42, Issue 3, May/June 2026.ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco +4 more
wiley +1 more source
Microbiome subcommunity learning with logistic-tree normal latent Dirichlet allocation. [PDF]
Biometrics, 2023 LeBlanc P, Ma L.
europepmc +1 more source
Business Strategy and the Environment, Volume 35, Issue 4, Page 5452-5470, May 2026.ABSTRACT Although recent literature on the circular economy (CE) has highlighted the important role of ecosystems, there is still limited understanding of the main themes that characterize circular ecosystems. This study addresses this gap by combining a comprehensive topic modeling analysis employing latent Dirichlet allocation (LDA) with a systematic
Aline Gabriela Ferrari +4 more
wiley +1 more source
Bayesian Poisson‐Lognormal Regression With Compositional Effect Shares for Multivariate Count Data
Environmetrics, Volume 37, Issue 4, May 2026.ABSTRACT Multivariate count data are central in community ecology and related fields, where interest lies in how environmental gradients and management actions jointly shape the abundances of many taxa. The Poisson‐lognormal (PLN) model is a natural workhorse in this setting, accommodating overdispersion and cross‐taxon dependence via a latent Gaussian
Abdolnasser Sadeghkhani
wiley +1 more source
Matrix prior for data transfer between single cell data types in latent Dirichlet allocation. [PDF]
PLoS Comput Biol, 2023 Min A, Durham T, Gevirtzman L, Noble WS.
europepmc +1 more source
Don't You Know That You're Toxic? How Influencer‐Driven Misinformation Fuels Online Toxicity
Psychology &Marketing, Volume 43, Issue 5, Page 1160-1181, May 2026.ABSTRACT Research on misinformation has focused on message content and cognitive bias, overlooking how source type shapes toxic engagement. This study addresses that gap by showing that influencer‐driven misinformation does not merely increase toxicity: it reconfigures its nature and persistence through relational and social influence mechanisms ...
Giandomenico Di Domenico +2 more
wiley +1 more source
A Tutorial on Bayesian Multi‐Study Factor Analysis With Applications in Nutrition and Genomics
Statistics in Medicine, Volume 45, Issue 10-12, May 2026.ABSTRACT High‐dimensional data are crucial in biomedical research. Integrating such data from multiple studies is a critical process that relies on the choice of advanced statistical models, enhancing statistical power, reproducibility, and scientific insight compared to analyzing each study separately.
Mavis Liang +3 more
wiley +1 more source
Scoping review on natural language processing applications in counselling and psychotherapy
British Journal of Psychology, Volume 117, Issue 2, Page 677-701, May 2026.Abstract Recent years have witnessed some rapid and tremendous progress in natural language processing (NLP) techniques that are used to analyse text data. This study endeavours to offer an up‐to‐date review of NLP applications by examining their use in counselling and psychotherapy from 1990 to 2021.
Maria Laricheva +3 more
wiley +1 more source