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Latent Dirichlet Allocation Based Image Retrieval
2017In recent years, Bag-of-Visual-Word (BoVW) model has been widely used in computer vision. However, BoVW ignores not only spatial information but also semantic information between visual words. In this study, a latent Dirichlet allocation (LDA) based model has been proposed to obtain the semantic relations of visual words.
Jing Hao, Hongxi Wei
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Similarity Measures Based on Latent Dirichlet Allocation
2013We present in this paper the results of our investigation on semantic similarity measures at word- and sentence-level based on two fully-automated approaches to deriving meaning from large corpora: Latent Dirichlet Allocation, a probabilistic approach, and Latent Semantic Analysis, an algebraic approach.
Vasile Rus +2 more
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Topic Modeling Using Latent Dirichlet Allocation
ACM Computing Surveys, 2022Apurva Shāh, Uttam Chauhan
exaly
Topic selection in latent dirichlet allocation
2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2014Biao Wang +4 more
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Text Data Analysis Using Latent Dirichlet Allocation: An Application to FOMC Transcripts
Applied Economics Letters, 2021Héctor Cárcel
exaly
Bibliometric Analysis of Latent Dirichlet Allocation
DESIDOC Journal of Library and Information Technology, 2022Mohit Garg, Priya Rangra
exaly