Research trends and hotspots on connectomes from 2005 to 2021: A bibliometric and latent Dirichlet allocation application study. [PDF]
Yan Y, Fan G, Liao X, Zhao X.
europepmc +1 more source
Collective Attention in Virtual Teams: A Pathway for Mitigating Communication Delays
ABSTRACT Virtual work has become a defining feature of modern organizations, intensifying the need for strategies that support virtual team performance. Communication delays—prolonged intervals between sending and receiving messages—are one of the most persistent and consequential barriers to virtual team performance.
Dorothy Carter +9 more
wiley +1 more source
Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression ...
LOVATO, PIETRO +3 more
core
Top-ten topics and terms for Latent Dirichlet Allocation in accounting.
Top-ten topics and terms for Latent Dirichlet Allocation in accounting.
Steffen Blaschke (18404206)
core +1 more source
Latent dirichlet allocation for double clustering (LDA-DC): discovering patients phenotypes and cell populations within a single Bayesian framework. [PDF]
El Hachem EJ, Sokolovska N, Soula H.
europepmc +1 more source
Integrating insights into radicalization: A text‐mining systematic review
Abstract The study of radicalization encompasses a broad spectrum of perspectives, with scholars from diverse disciplines – ranging from psychology, sociology, political science, criminology, to economics – contributing to its multifaceted comprehension. Despite this substantial body of empirical research, the knowledge is fragmented across disciplines,
Anna Knorr +3 more
wiley +1 more source
Global trends in research on environmental chemical exposure and childhood learning disabilities: insights from a two-decade bibliometric and Latent Dirichlet Allocation analysis. [PDF]
Liu Q +6 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
Similar moral values, different agendas: U.S. politicians' use of moral language is issue‐specific
Abstract We used Structured Topic Models (STM) combined with a word embedding model to examine U.S. politicians' use of moral language and identify the issues Democrats and Republicans moralize most on X (formerly Twitter). Analyzing 1,578,057 posts from U.S.
Éloïse Côté +2 more
wiley +1 more source
Unfolding the policy dynamics of medical data assetization in Chinese public healthcare institutions: evidence from Latent Dirichlet Allocation and dynamic topic modeling analysis. [PDF]
Han S +6 more
europepmc +1 more source

