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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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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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Partial membership latent Dirichlet allocation [PDF]
, 2018 Dissertation supervisor: Dr. Alina Zare.Includes vita.For many years, topic models (e.g., pLSA, LDA, SLDA) have been widely used for segmenting and recognizing objects in imagery simultaneously.
Chen, Chao, 1984 November-
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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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A Spectral Algorithm for Latent Dirichlet Allocation [PDF]
Algorithmica, 2012 The problem of topic modeling can be seen as a generalization of the clustering problem, in that it posits that observations are generated due to multiple latent factors (e.g., the words in each document are generated as a mixture of several active ...
Anandkumar, Animashree +4 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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Latent dirichlet markov allocation for sentiment analysis [PDF]
, 2013 In recent years probabilistic topic models have gained tremendous attention in data mining and natural language processing research areas. In the field of information retrieval for text mining, a variety of probabilistic topic models have been used to ...
Bagheri, A, de Jong, F, Saraee, MH
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Improving optimal prompt learning through multilayer fusion and latent dirichlet allocation [PDF]
Frontiers in Robotics and AIRecent advances in few-shot learning have demonstrated the potential of prompt-based techniques with pre-trained models, eliminating the need for extensive fine-tuning. However, challenges such as obtaining optimal prompts and addressing data scarcity in
Qinghua Chen +6 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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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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