Results 21 to 30 of about 23,068 (215)
Applied Sciences, 2021 To assess critically the scientific literature is a very challenging task; in general it requires analysing a lot of documents to define the state-of-the-art of a research field and classifying them. The documents classifier systems have tried to address
Noemi Scarpato +2 more
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Graph-Sparse LDA: A Topic Model with Structured Sparsity [PDF]
, 2014 Originally designed to model text, topic modeling has become a powerful tool for uncovering latent structure in domains including medicine, finance, and vision.
Adams, Ryan +2 more
core +1 more source
Unsupervised Machine Learning to Identify Depressive Subtypes [PDF]
Healthcare Informatics Research, 2022 Objectives This study evaluated an unsupervised machine learning method, latent Dirichlet allocation (LDA), as a method for identifying subtypes of depression within symptom data. Methods Data from 18,314 depressed patients were used to create LDA models.
Benson Kung +4 more
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TV News Story Segmentation Based on Semantic Coherence and Content Similarity [PDF]
, 2010 In this paper, we introduce and evaluate two novel approaches, one using video stream and the other using close-caption text stream, for segmenting TV news into stories.
Goyal, A. +4 more
core +1 more source
Artificial Intelligence in Agriculture, 2020 Breakup patterns of agricultural formulations are explored using unsupervised learning techniques to elucidate the mechanics of atomization for oil-in-water formulations.
Hongfei Li +3 more
doaj +1 more source
Modeling Topic and Role Information in Meetings using the Hierarchical Dirichlet Process [PDF]
, 2008 . In this paper, we address the modeling of topic and role information in multiparty meetings, via a nonparametric Bayesian model called the hierarchical Dirichlet process.
Huang, Songfang, Renals, Steve
core +2 more sources
Profiling heterogeneity of Alzheimer's disease using white-matter impairment factors
NeuroImage: Clinical, 2018 The clinical presentation of Alzheimer's disease (AD) is not unitary as heterogeneity exists in the disease's clinical and anatomical characteristics. MRI studies have revealed that heterogeneous gray matter atrophy patterns are associated with specific ...
Xiuchao Sui, Jagath C. Rajapakse
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Entropy, 2020 Topic modeling is a popular technique for clustering large collections of text documents. A variety of different types of regularization is implemented in topic modeling. In this paper, we propose a novel approach for analyzing the influence of different
Sergei Koltcov +3 more
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An Improved Supervised-LDA Text Model and Its Application [PDF]
Jisuanji gongcheng, 2018 Supervised-Latent Dirichlet Distribution Allocation (s-LDA) model cannot handle the multi-label problem and s-LDA model is not correct distribution in the classification model.The Supervised Labled-LDA(sl-LDA) model is proposed by adding a category label
XU Tengteng,HUANG Hengjun
doaj
Marketing Improvement of Chinese Original Picture Books From Dissatisfaction Evaluation - Text Mining Based on LDA Model [PDF]
SHS Web of Conferences, 2021 Chinese original picture books play an important role in inheriting traditional culture and forming cultural identity, which is very important for children.
Tang Ziyan, Yuan Wen
doaj +1 more source