Results 81 to 90 of about 3,238,976 (181)
, 2011 Latent Dirichlet Allocation models discrete data as a mixture of discrete distributions, using Dirichlet beliefs over the mixture weights. We study a variation of this concept, in which the documents' mixture weight beliefs are replaced with squashed Gaussian distributions.
Hennig, P. +3 more
openaire +3 more sources
Retracted: SDTM: A Novel Topic Model Framework for Syndrome Differentiation in Traditional Chinese Medicine. [PDF]
J Healthc Eng, 2023 Healthcare Engineering JO.
europepmc +1 more source
Quality indices for topic model selection and evaluation: a literature review and case study. [PDF]
BMC Med Inform Decis Mak, 2023 Meaney C +5 more
europepmc +1 more source
, 2010 The syntactic topic model (STM) is a Bayesian nonparametric model of language that discovers latent distributions of words (topics) that are both semantically and syntactically coherent. The STM models dependency parsed corpora where sentences are grouped into documents.
Boyd-Graber, Jordan, Blei, David M.
openaire +2 more sources
Conceptualization Topic Modeling
, 2017 Recently, topic modeling has been widely used to discover the abstract topics in text corpora. Most of the existing topic models are based on the assumption of three-layer hierarchical Bayesian structure, i.e. each document is modeled as a probability distribution over topics, and each topic is a probability distribution over words.
Tang, Yi-Kun +3 more
openaire +2 more sources
TextNetTopics Pro, a topic model-based text classification for short text by integration of semantic and document-topic distribution information. [PDF]
Front Genet, 2023 Voskergian D, Bakir-Gungor B, Yousef M.
europepmc +1 more source
Mining and visualizing large-scale course reviews of LMOOCs learners through structural topic model. [PDF]
PLoS One, 2023 Yang L.
europepmc +1 more source
Implementation of a graph-embedded topic model for analysis of population-level electronic health records. [PDF]
STAR Protoc, 2023 Wang Y, Grant AV, Li Y.
europepmc +1 more source
New interest-sensitive and network-sensitive method for user recommendation
Tongxin xuebao, 2015 A new hybrid approach by incorporatin gusers’ interests and users’ friendships together to recommend new friends for target users is proposed.A variation of PageRank—Topic_Friend_PageRank(TFPR) is proposed,which can consider user interests and user ...
Yan-min SHANG, Peng ZHANG, Ya-nan CAO
doaj