lda: Collapsed Gibbs sampling methods for topic models This package implements latent Dirichlet allocation (LDA) and related models. This includes (but is not limited to) sLDA, corrLDA, and the mixed-membership stochastic blockmodel. Inference for all of these models is implemented via a fast collapsed Gibbs sampler writtten in C. Utility functions for reading/writing data typically used in topic models, as well as tools for examining posterior distributions are also included.
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Williamson, Sinead A.: Nonparametric network models for link prediction (2016)
- Zhao, Yanchang: R and data mining. Examples and case studies (2013)