Results 161 to 170 of about 13,047 (256)
Public perceptions of digital fashion: An analysis of sentiment and Latent Dirichlet Allocation topic modeling. [PDF]
Front Psychol, 2022 Zou Y, Luh DB, Lu S.
europepmc +1 more source
Decision Sciences, Volume 57, Issue 3, Page 235-255, June 2026.Abstract E‐commerce practitioners and researchers recognize that quality concerns are the primary drivers of customer dissatisfaction with products or services. While dissatisfaction can arise from various factors, little is known about quality and its components, specifically from the perspective of dissatisfied customers. Grounded in the foundational
Rahul Kumar +4 more
wiley +1 more source
Sexually Transmitted Disease-Related Reddit Posts During the COVID-19 Pandemic: Latent Dirichlet Allocation Analysis. [PDF]
J Med Internet Res, 2022 Johnson AK +4 more
europepmc +1 more source
Narratives Contextualizing Numeric Disclosures: Insights From Earnings Calls
Journal of Business Finance &Accounting, Volume 53, Issue 3, Page 1263-1286, June 2026.ABSTRACT We investigate how narrative disclosures during earnings conference calls (ECCs) provide context for quantitative numeric disclosures in quarterly earnings releases, enhancing their informativeness. Drawing on a large sample of 34,918 quarterly ECCs from 1621 US‐listed firms from 2007 to 2020, we extract interpretable textual attributes—such ...
Imelda Taraj, Ranik Raaen Wahlstrøm
wiley +1 more source
An analysis of classroom collusion using Latent Dirichlet Allocation
, 2018 In this study, we use Latent Dirichlet Allocation to explore the reflections of students who faced a demanding classroom challenge, to which some responded by colluding.
Ravenscroft, Sue +2 more
core
Telescoping bimodal latent Dirichlet allocation to identify expression QTLs across tissues. [PDF]
Life Sci Alliance, 2022 Gewirtz AD, Townes FW, Engelhardt BE.
europepmc +1 more source
Journal of Consumer Affairs, Volume 60, Issue 2, Summer 2026.ABSTRACT Consumer stress induced by online luxury market has become a threat to consumer well‐being. This research identifies key stress dimensions on online new and second‐hand luxury platforms by applying natural language processing (NLP) to consumer‐generated texts (Study 1).
Jisu Jang, Jiyun Kang
wiley +1 more source
Integrating Structured and Unstructured EHR Data for Predicting Mortality by Machine Learning and Latent Dirichlet Allocation Method. [PDF]
Int J Environ Res Public Health, 2023 Chiu CC +5 more
europepmc +1 more source
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
Journal for the Scientific Study of Religion, Volume 65, Issue 2, Page 293-306, June 2026.ABSTRACT Secularization is a key concept in the social scientific study of religion, yet its meaning remains ambiguous due to varied definitions produced in the literature. This article aims to provide a data‐driven systematization of the debate on religious change by analyzing 1638 academic articles published between 2001 and 2022 using structural ...
Valeria Rainero, Ruud Luijkx
wiley +1 more source