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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+
GitHub
| Maintainers | No Maintainer |
| Categories | math |
| Homepage | http://gibbslda.sourceforge.net/ |
| Platforms | darwin |
| Variants |
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