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.

Project Activity

See All Activity >

License

GNU General Public License version 2.0 (GPLv2)

Follow GibbsLDA++: A C/C++ Gibbs Sampling LDA

GibbsLDA++: A C/C++ Gibbs Sampling LDA Web Site

You Might Also Like
All-in-One Payroll and HR Platform Icon
All-in-One Payroll and HR Platform

For small and mid-sized businesses that need a comprehensive payroll and HR solution with personalized support

We design our technology to make workforce management easier. APS offers core HR, payroll, benefits administration, attendance, recruiting, employee onboarding, and more.
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of GibbsLDA++: A C/C++ Gibbs Sampling LDA!

Additional Project Details

Operating Systems

Cygwin, MinGW/MSYS2, Linux, BSD, Windows

Intended Audience

Science/Research, Developers

User Interface

Console/Terminal

Programming Language

C++

Database Environment

Flat-file

Related Categories

C++ Artificial Intelligence Software

Registered

2007-07-17