Results 1 to 10 of about 1,033,557 (227)
Secure latent Dirichlet allocation [PDF]
Frontiers in Digital HealthTopic modelling refers to a popular set of techniques used to discover hidden topics that occur in a collection of documents. These topics can, for example, be used to categorize documents or label text for further processing. One popular topic modelling
Thijs Veugen +4 more
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Latent Dirichlet Allocation modeling of environmental microbiomes. [PDF]
PLoS Computational Biology, 2023 Interactions between stressed organisms and their microbiome environments may provide new routes for understanding and controlling biological systems. However, microbiomes are a form of high-dimensional data, with thousands of taxa present in any given ...
Anastasiia Kim +3 more
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Latent Dirichlet allocation model for world trade analysis. [PDF]
PLoS ONE, 2021 International trade is one of the classic areas of study in economics. Its empirical analysis is a complex problem, given the amount of products, countries and years.
Diego Kozlowski +2 more
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Application of Latent Dirichlet Allocation (LDA) for clustering financial tweets [PDF]
E3S Web of Conferences, 2021 Sentiment classification is one of the hottest research areas among the Natural Language Processing (NLP) topics. While it aims to detect sentiment polarity and classification of the given opinion, requires a large number of aspect extractions.
Fatima-Zahrae Sifi +2 more
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Examining Analytic Practices in Latent Dirichlet Allocation Within Psychological Science: Scoping Review [PDF]
Journal of Medical Internet Research, 2022 Lauryn J Hägg +2 more
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IEEE Access, 2023 To investigate the advancements of artificial intelligence techniques in the realm of library and information subject, we have chosen the Latent Dirichlet Allocation method as a case study to explore its current study status and implementations ...
Xinzhou Pan, Yu Xu
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Applying latent Dirichlet allocation for analysis of publications in scientometric databases
Trudy Odesskogo Politehničeskogo Universiteta, 2014 The aim of the work is to determine the most appropriate model for a thematic classification of scientific publications by author with the same sirname.
А. С. Коляда +2 more
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Web content topic modeling using LDA and HTML tags [PDF]
PeerJ Computer Science, 2023 An immense volume of digital documents exists online and offline with content that can offer useful information and insights. Utilizing topic modeling enhances the analysis and understanding of digital documents.
Hamza H.M. Altarturi +2 more
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Acta Universitatis Sapientiae: Economics and Business, 2022 This article develops a baseline on how to analyse the statements of monetary policy from Lesotho’s Central Bank using a method of topic classification that utilizes a machine learning algorithm known as Latent Dirichlet Allocation.
Damane Moeti
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Text Categorization Based on Topic Model [PDF]
International Journal of Computational Intelligence Systems, 2009 In the text literature, many topic models were proposed to represent documents and words as topics or latent topics in order to process text effectively and accurately.
Shibin Zhou, Kan Li, Yushu Liu
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