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a C/C++ implementation of Latent Dirichlet Allocation (LDA) using Gibbs SamplingGibbsLDA++ is a C/C++ implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling technique for parameter estimation and inference. It is very fast and is designed to analyze hidden/latent topic structures of large-scale datasets including very large collections of text/Web documents.
Version: 0.2 License: GPL-2+
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2024-Dec-28 to 2025-Jan-27
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