A derivation of variational message passing (VMP) for latent Dirichlet allocation (LDA) [PDF]
arXiv, 2021 Latent Dirichlet Allocation (LDA) is a probabilistic model used to uncover latent topics in a corpus of documents. Inference is often performed using variational Bayes (VB) algorithms, which calculate a lower bound to the posterior distribution over the parameters.
Taylor, Rebecca M. C. +2 more
arxiv +5 more sources
Estimating News Coverage Patterns using Latent Dirichlet Allocation (LDA)
Sukkur IBA Journal of Emerging Technologies, 2018 The growing rate of unstructured textual data has made an open challenge for the knowledge discovery, which aims extracting desired information from large collection of data.
Naeem Ahmed Mahoto
doaj +5 more sources
LDA filter: A Latent Dirichlet Allocation preprocess method for Weka.
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
doaj +7 more sources
Topic Modeling on Online News.Portal Using Latent Dirichlet Allocation (LDA)
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2022 The amount of News displayed on online news portals. Often does not indicate the topic being discussed, but the News can be read and analyzed. You can find the main issues and trends in the News being discussed.
Mohammad Rezza Fahlevvi, Azhari SN
doaj +5 more sources
Latent DIRICHLET allocation (LDA) based information modelling on BLOCKCHAIN technology: a review of trends and research patterns used in integration. [PDF]
Multimed Tools Appl, 2022 The past decade is known as the era of integrations where multiple technologies had integrated, and new research trends were seen. The security of data and information in the digital world has been a challenge to everyone; Blockchain technology has attracted many researchers in these scenarios.
Sharma C, Sharma S, Sakshi.
europepmc +4 more sources
The Latent Dirichlet Allocation (LDA) generative model for automating process of rendering judicial decisions [PDF]
E3S Web of Conferences, 2023 The Latent Dirichlet Allocation (LDA) generative model is widely used in statistical analysis and machine learning due to its ability to model the probabilities of multidimensional categorical data, such as the frequencies of different categories or the ...
Pylov Petr +2 more
doaj +3 more sources
Latent Dirichlet Allocation (LDA) topic models for Space Syntax studies on spatial experience [PDF]
City, Territory and ArchitectureSpatial experience has been extensively researched in various fields, with Space Syntax being one of the most widely used methodologies. Multiple Space Syntax techniques have been developed and used to quantitively examine the relationship between ...
Ju Hyun Lee, Michael J. Ostwald
doaj +3 more sources
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
doaj +3 more sources
Latent Dirichlet allocation (LDA) for topic modeling of the CFPB consumer complaints [PDF]
Expert Systems with Applications, 2019 A text mining approach is proposed based on latent Dirichlet allocation (LDA) to analyze the Consumer Financial Protection Bureau (CFPB) consumer complaints. The proposed approach aims to extract latent topics in the CFPB complaint narratives, and explores their associated trends over time.
Jeffrey Shaffer +2 more
+7 more sources
Implementasi Latent Dirichlet Allocation (LDA) untuk Klasterisasi Cerita Berbahasa Bali [PDF]
Jurnal Teknologi Informasi dan Ilmu Komputer, 2021 Cerita-cerita berbahasa Bali memiliki topik yang beragam namun memuat nilai kearifan lokal yang perlu untuk dilestarikan. Jika cerita-cerita tersebut dapat dikelompokkan berdasarkan topik, tentu akan sangat memudahkan bagi para pembacanya dalam memilih ...
Ngurah Agus Sanjaya ER
doaj +3 more sources