Man pages for seededlda
Seeded Sequential LDA for Topic Modeling
| data_corpus_moviereviews | Movie reviews from Pang and Lee (2004) |
| divergence | Optimize the number of topics for LDA |
| info_tbb | Get information on TBB library |
| perplexity | Optimize the hyper-parameters for LDA |
| print.textmodel_lda | Print method for a LDA model |
| sizes | Compute the sizes of topics |
| terms | Extract most likely terms |
| textmodel_lda | Unsupervised Latent Dirichlet allocation |
| textmodel_seededlda | Semisupervised Latent Dirichlet allocation |
| textmodel_seqlda | Sequential Latent Dirichlet allocation |
| topics | Extract most likely topics |
