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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 in predicting clinical trial terminations [PDF]
BMC Medical Informatics and Decision Making, 2019 Background This study used natural language processing (NLP) and machine learning (ML) techniques to identify reliable patterns from within research narrative documents to distinguish studies that complete successfully, from the ones that terminate ...
Simon Geletta +2 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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LDA filter: A Latent Dirichlet Allocation preprocess method for Weka. [PDF]
PLoS ONE, 2020 This work presents an alternative method to represent documents based on LDA (Latent Dirichlet Allocation) and how it affects to classification algorithms, in comparison to common text representation.
P Celard +3 more
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Text Categorization with Latent Dirichlet Allocation [PDF]
Journal of Electrical and Electronics Engineering, 2014 This paper focuses on the text categorization of Slovak text corpora using latent Dirichlet allocation. Our goal is to build text subcorpora that contain similar text documents.
ZLACKÝ Daniel +3 more
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Discovering Tonal Profiles with Latent Dirichlet Allocation [PDF]
Music & Science, 2021 Music analysis, in particular harmonic analysis, is concerned with the way pitches are organized in pieces of music, and a range of empirical applications have been developed, for example, for chord recognition or key finding. Naturally, these approaches
Fabian C. Moss, Martin Rohrmeier
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Gaussian hierarchical latent Dirichlet allocation: Bringing polysemy back. [PDF]
PLoS One, 2023 Topic models are widely used to discover the latent representation of a set of documents. The two canonical models are latent Dirichlet allocation, and Gaussian latent Dirichlet allocation, where the former uses multinomial distributions over words, and the latter uses multivariate Gaussian distributions over pre-trained word embedding vectors as the ...
Yoshida T, Hisano R, Ohnishi T.
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Discovering Computer Science Research Topic Trends using Latent Dirichlet Allocation
JOIN: Jurnal Online Informatika, 2021 Before conducting a research project, researchers must find the trends and state of the art in their research field. However, that is not necessarily an easy job for researchers, partly due to the lack of specific tools to filter the required information
Kartika Rizqi Nastiti +2 more
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A Zero-Inflated Latent Dirichlet Allocation Model for Microbiome Studies [PDF]
Frontiers in Genetics, 2021 The human microbiome consists of a community of microbes in varying abundances and is shown to be associated with many diseases. An important first step in many microbiome studies is to identify possible distinct microbial communities in a given data set
Rebecca A. Deek, Hongzhe Li
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