This project implements the Stochastic Variational Inference (SVI) algorithm for Latent Dirichlet Allocation (LDA), based on the foundational paper: Hoffman, M. D., Blei, D. M., Wang, C., & Paisley, J ...

LDA topic modeling was applied to identify latent topics within the text data, and topic evolution was examined during four peak months of the Search Index. Results: Four major Search Index peaks were ...

1 School of Transportation Science and Engineering, Civil Aviation University of China, Tianjin, China. 2 School of Cabin Crew, Civil Aviation University of China, Tianjin, China. Technology ...

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The unsupervised machine learning topic models, namely, Latent Dirichlet Allocation (LDA), non-negative matrix factorization (NMF), BERTopic, and Top2Vec, were compared, and the best-performing model ...

1 Division of Rare Diseases Research Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Bethesda, MD, United States 2 Division of ...