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a C/C++ implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling

GibbsLDA++ 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+ GitHub
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2022-Apr-21 to 2022-May-21


Total Installations 1
Requested Installations 1


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