Results 11 to 20 of about 13,047 (256)
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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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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Sequential latent Dirichlet allocation
Knowledge and Information Systems, 2011 Understanding how topics within a document evolve over the structure of the document is an interesting and potentially important problem in exploratory and predictive text analytics. In this article, we address this problem by presenting a novel variant of latent Dirichlet allocation (LDA): Sequential LDA (SeqLDA).
Lan Du 0002 +3 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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Selecting Priors for Latent Dirichlet Allocation [PDF]
2018 IEEE 12th International Conference on Semantic Computing (ICSC), 2018 Latent Dirichlet Allocation (LDA) has gained much attention from researchers and is increasingly being applied to uncover underlying semantic structures from a variety of corpora. However, nearly all researchers use symmetrical Dirichlet priors, often unaware of the underlying practical implications that they bear. This research is the first to explore
Shaheen Syed, Marco Spruit
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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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Discovering Tonal Profiles with Latent Dirichlet Allocation
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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Two-stage topic modelling of scientific publications: A case study of University of Nairobi, Kenya.
PLoS ONE, 2021 Unsupervised statistical analysis of unstructured data has gained wide acceptance especially in natural language processing and text mining domains. Topic modelling with Latent Dirichlet Allocation is one such statistical tool that has been successfully ...
Leacky Muchene, Wende Safari
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Latent Dirichlet Allocation for Uncovering Fraud Cases on Twitter
Jurnal Riset Informatika, 2023 Fraud is a phenomenon that continues to exist in society with a modus operandi that continues to evolve with the times. The mode of operation of fraud is continually evolving with technological advancements, globalization, and consumer behavior shifts ...
Sallu Muharomah +1 more
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Topic Modeling for Twitter Users Regarding the "Ruanggguru" Application
Jurnal Ilmu Dasar, 2020 PT Ruang Raya Indonesia ("Ruangguru") is the largest and most comprehensive technology company in Indonesia that focuses on education-based services. In 2019 there were 15 million Ruangguru users and 300.00 teachers who had joined and were present in 32 ...
Bagus Wicaksono Arianto, Gangga Anuraga
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