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.
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.
To install gibbslda, run the following command in macOS terminal (Applications->Utilities->Terminal)
sudo port install gibbslda
To see what files were installed by gibbslda, run:
port contents gibbslda
To later upgrade gibbslda, run:
sudo port selfupdate && sudo port upgrade gibbslda
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