Man pages for text2vec
Modern Text Mining Framework for R
| as.lda_c | Converts document-term matrix sparse matrix to 'lda_c' format |
| BNS | BNS |
| check_analogy_accuracy | Checks accuracy of word embeddings on the analogy task |
| coherence | Coherence metrics for topic models |
| Collocations | Collocations model. |
| combine_vocabularies | Combines multiple vocabularies into one |
| create_dtm | Document-term matrix construction |
| create_tcm | Term-co-occurence matrix construction |
| create_vocabulary | Creates a vocabulary of unique terms |
| distances | Pairwise Distance Matrix Computation |
| GloVe | re-export rsparse::GloVe |
| ifiles | Creates iterator over text files from the disk |
| itoken | Iterators (and parallel iterators) over input objects |
| jsPCA_robust | (numerically robust) Dimension reduction via Jensen-Shannon... |
| LatentDirichletAllocation | Creates Latent Dirichlet Allocation model. |
| LatentSemanticAnalysis | Latent Semantic Analysis model |
| movie_review | IMDB movie reviews |
| normalize | Matrix normalization |
| perplexity | Perplexity of a topic model |
| prepare_analogy_questions | Prepares list of analogy questions |
| print.text2vec_vocabulary | Printing Vocabulary |
| prune_vocabulary | Prune vocabulary |
| reexports | Objects exported from other packages |
| RelaxedWordMoversDistance | Creates Relaxed Word Movers Distance (RWMD) model |
| similarities | Pairwise Similarity Matrix Computation |
| split_into | Split a vector for parallel processing |
| text2vec | text2vec |
| TfIdf | TfIdf |
| tokenizers | Simple tokenization functions for string splitting |
| vectorizers | Vocabulary and hash vectorizers |
