Description Author(s) See Also
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.
Maintainer: Nicholas Erskine nicholas.erskine95@gmail.com
Useful links:
Report bugs at https://github.com/nerskin/lda.svi/issues
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.