| analogy | Convert formula to named character vector |
| as.matrix | Extract word or document vectors |
| as.textmodel_doc2vec | Create distributed representation of documents |
| data_corpus_news2014 | Yahoo News summaries from 2014 |
| perplexity | Compute perplexity of a model |
| print.textmodel_doc2vec | Print method for trained document vectors |
| print.textmodel_word2vec | Print method for trained word vectors |
| 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 |
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