Results 21 to 30 of about 5,406 (194)
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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Latent Dirichlet Allocation (LDA) for Sentiment Analysis Toward Tourism Review in Indonesia [PDF]
Journal of Physics: Conference Series, 2017 The tourism industry is one of foreign exchange sector, which has considerable potential development in Indonesia. Compared to other Southeast Asia countries such as Malaysia with 18 million tourists and Singapore 20 million tourists, Indonesia which is the largest Southeast Asia's country have failed to attract higher tourist numbers compared to its ...
IR Putri, R Kusumaningrum
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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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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
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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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A Competency Mining Method Based on Latent Dirichlet Allocation (LDA) Model
Journal of Physics: Conference Series, 2020 Abstract A text mining approach based on latent Dirichlet allocation (LDA) is proposed to analyze the competency characteristics. First, we briefly introduce the principle and hypothesis of latent Dirichlet allocation (LDA) model. Second, we elaborate the idea of using LDA topic model to extract competency, Then, we use Chinese text ...
Jiying Wu, Guandong Son, Sihui Wang
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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
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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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Genome Biology, 2020 Sputum induction is a non-invasive method to evaluate the airway environment, particularly for asthma. RNA sequencing (RNA-seq) of sputum samples can be challenging to interpret due to the complex and heterogeneous mixtures of human cells and exogenous ...
Daniel Spakowicz +11 more
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Leveraging Global and Local Topic Popularities for LDA-Based Document Clustering
IEEE Access, 2020 Document clustering is of high importance for many natural language technologies. A wide range of computational traditional topic models, such as LDA (Latent Dirichlet Allocation) and its variants, have made great progress. However, traditional LDA-based
Peng Yang, Yu Yao, Huajian Zhou
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