Download of casestudy.tar.gz (casestudy.tar.gz ( external link: SF.net): 15,285,984 octetos) will begin shortly. If not so, click link on the left.

File Information

File Size
15,285,984 octetos
MD5
b637748e009beb54562c0c5d6c78ee27

Descripción del Proyecto

GibbsLDA++: A C/C++ Implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling for parameter estimation and inference. GibbsLDA++ is fast and is designed to analyze hidden/latent topic structures of large-scale (text) data collections.