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Fits Latent Dirichlet Allocation topic models to text data using the stochastic variational inference algorithm described in Hoffman et. al. (2013) <arXiv:1206.7051v3>. This method is more efficient than the original batch variational inference algorithm for LDA, and allows users to fit LDA models with more topics and to larger text corpora than would be feasible using that older method.
Package details 


Author  Nicholas Erskine [aut, cre] 
Maintainer  Nicholas Erskine <nicholas.erskine95@gmail.com> 
License  MIT + file LICENSE 
Version  0.1.0 
Package repository  View on CRAN 
Installation 
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