Results 31 to 40 of about 13,047 (256)
Latent Dirichlet Allocation Coupled with Bayesian Time Series Analyses
, 2019 Combines Latent Dirichlet Allocation and Bayesian Multinomial Time Series methods in a two-stage analysis to quantify dynamics in high-dimensional temporal ...
Juniper L. Simonis +13 more
core +4 more sources
Latent Dirichlet Allocation Models for Image Classification [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013 Two new extensions of latent Dirichlet allocation (LDA), denoted topic-supervised LDA (ts-LDA) and class-specific-simplex LDA (css-LDA), are proposed for image classification. An analysis of the supervised LDA models currently used for this task shows that the impact of class information on the topics discovered by these models is very weak in general.
Nikhil Rasiwasia, Nuno Vasconcelos
openaire +4 more sources
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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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 +1 more source
, 2021 Identifying product attributes from the perspective of a customer is essential to measure the satisfaction, importance, and Kano category of each product attribute for product design.
Joung, Junegak, Kim, Harrison M.
core +1 more source
Topic Modeling for Makerspace Artifact Analysis
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 As the making phenomenon becomes more prevalent, diverse, and vast, it becomes increasingly challenging to identify general temporal or spatial trends in types of making endeavors.
David Wilson +2 more
doaj +1 more source
Latent Dirichlet Allocation in predicting clinical trial terminations
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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Partial Membership Latent Dirichlet Allocation
CoRR, 2015 cut to 6 pages, add sunset ...
Chao Chen 0040, Alina Zare, J. Tory Cobb
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Earth Observation Semantic Data Mining: Latent Dirichlet Allocation-Based Approach
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Recent advances in remote sensing technology have provided (very) high spatial resolution Earth Observation data with abundant latent semantic information.
Reza Mohammadi Asiyabi, Mihai Datcu
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Implementasi Latent Dirichlet Allocation (LDA) untuk Klasterisasi Cerita Berbahasa Bali
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 +1 more source