Topic Modeling of Fatty Acid Studies: Evaluating Environmental Changes in Freshwater Ecosystems
ABSTRACT Fatty acids (FAs) are biochemical molecules with vital structural and metabolic functions in all living organisms. Over the last decades, FA analysis in ecological studies has garnered significant attention due to its diverse applicability, such as taxonomic support for species identification, investigations on trophic interactions, and ...
A. C. Campos, B. Gücker, I. G. Boëchat
wiley +1 more source
Supervised latent Dirichlet allocation with covariates: A Bayesian structural and measurement model of text and covariates. [PDF]
Wilcox KT +3 more
europepmc +1 more source
Function‐Guided Extended Latent Dirichlet Allocation Model for Complementary Cloud API Recommendation in Mashup Development [PDF]
Zhen Chen +5 more
openalex +1 more source
Opening the Black Box of EU Digital Sovereignty: A Macro‐Level Analysis of the Concept's Development
ABSTRACT Digital sovereignty has emerged as a central organizing principle in European Union governance, yet systematic understanding of its conceptual evolution remains limited. This article provides the first macro‐level analysis of how digital sovereignty evolves across institutional and academic domains.
Aleksei Turobov +2 more
wiley +1 more source
Multi-Document Text Summarization Based on Semantic Clustering and Selection of Representative Sentences Using Latent Dirichlet Allocation [PDF]
Oktefvia Aruda Lisjana +2 more
openalex +1 more source
Improving Privacy Guarantee and Efficiency of Latent Dirichlet Allocation Model Training Under Differential Privacy [PDF]
Tao Huang, Hong Chen
openalex +1 more source
Latent Dirichlet Allocation in R
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
A Topic Testlet Model for Calibrating Testlet Constructed Responses
Abstract Constructed responses (CRs) within testlets are widely used to assess complex skills but can pose calibration challenges due to local item dependence. A few current testlet models incorporate testlet‐specific effects to address local dependence but struggle with interpreting these effects and may not fully capture the complexities of CR items ...
Jiawei Xiong +8 more
wiley +1 more source
Microbiome subcommunity learning with logistic-tree normal latent Dirichlet allocation. [PDF]
LeBlanc P, Ma L.
europepmc +1 more source

