| analogy | Convert formula to named character vector |
| as.matrix.textmodel_doc2vec | Extract word or document vectors |
| as.matrix.textmodel_word2vec | Extract word or document vectors |
| as.textmodel_doc2vec | Create distributed representation of documents |
| data_corpus_news2014 | Yahoo News summaries from 2014 |
| probability | Compute probability of words |
| similarity | Compute similarity between word or document vectors |
| textmodel_doc2vec | Doc2vec model |
| textmodel_lsa | Latent Semantic Analysis model |
| textmodel_word2vec | Word2vec model |