Nothing
topicmodels: Topic Models
Provides an interface to the C code for Latent Dirichlet Allocation (LDA) models and Correlated Topics Models (CTM) by David M. Blei and co-authors and the C++ code for fitting LDA models using Gibbs sampling by Xuan-Hieu Phan and co-authors.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Bettina Grün [aut, cre] (<https://orcid.org/0000-0001-7265-4773>), Kurt Hornik [aut] (<https://orcid.org/0000-0003-4198-9911>), David M Blei [ctb, cph] (VEM estimation of LDA and CTM), John D Lafferty [ctb, cph] (VEM estimation of CTM), Xuan-Hieu Phan [ctb, cph] (MCMC estimation of LDA), Makoto Matsumoto [ctb, cph] (Mersenne Twister RNG), Takuji Nishimura [ctb, cph] (Mersenne Twister RNG), Shawn Cokus [ctb] (Mersenne Twister RNG) |
| Maintainer | Bettina Grün <Bettina.Gruen@R-project.org> |
| License | GPL-2 |
| Version | 0.2-17 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the topicmodels package in your browser
Any scripts or data that you put into this service are public.
