Exact marginal inference in Latent Dirichlet Allocation
Assume we have potential "causes" $z\in Z$, which produce "events" $w$ with known probabilities $β(w|z)$. We observe $w_1,w_2,...,w_n$, what can we say about the distribution of the causes? A Bayesian estimate will assume a prior on distributions on $Z$ (we assume a Dirichlet prior) and calculate a posterior. An average over that posterior then gives a
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Extending Information Retrieval Methods to Personalized Genomic-Based Studies of Disease
Genomic-based studies of disease now involve diverse types of data collected on large groups of patients. A major challenge facing statistical scientists is how best to combine the data, extract important features, and comprehensively characterize the ...
Shuyun Ye +2 more
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Audience-Engagement Latent Dirichlet Allocation for Personal Branding Analysis on Twitter
Social media platforms influence personal branding through ongoing interactions between content creators and their audiences. Conventional topic modeling approaches, such as Latent Dirichlet Allocation (LDA), assign equal importance to all documents and ...
Faizah, Bor-Shen Lin
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Gaussian hierarchical latent Dirichlet allocation: Bringing polysemy back. [PDF]
Yoshida T, Hisano R, Ohnishi T.
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Tracing the evolution of green logistics: A latent dirichlet allocation based topic modeling technology and roadmapping. [PDF]
Ma R, Kim YJ.
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Quantifying consistency and accuracy of Latent Dirichlet Allocation
8 pages, 3 figures, to be ...
Saranzaya Magsarjav +3 more
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Insights Into Korean Public Perspectives on Urology: Online News Data Analytics Through Latent Dirichlet Allocation Topic Modeling. [PDF]
Oh YW, Kim J.
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Topic Modelling of Doctoral Theses Written on Lung Cancer in Türkiye Using LDA
The aim of the study is to examine the research status, subject and content of doctoral theses on lung cancer in Türkiye. In December 2024, research documents are scanned using the text mining method in R software, employing topic-based text analysis ...
Fatma Üzümcü, Nezihe Tüfekci
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Supervised latent Dirichlet allocation with covariates: A Bayesian structural and measurement model of text and covariates. [PDF]
Wilcox KT +3 more
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Applications of Digital Analysis Techniques to Classical Languages and Literatures
This article offers a survey of recent studies on the application of Natural Language Processing techniques to classical philology, with particular emphasis on Latin epic poetry of the 1st century AD.
Alessandro Re
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