lda.svi
0.1.0Fit Latent Dirichlet Allocation Models using Stochastic Variational Inference
Overview
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.
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People & History
1 release. R releases are shown for context.
- RR 4.1.0 released · 2021-05-18
- archivedRemoved from CRAN2020-06-02check problems were not corrected despite reminders
- RR 4.0.0 released · 2020-04-24
- 0.1.02019-07-12
- RR 3.6.0 released · 2019-04-26
Package metadata
- Total releases
- 1
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
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