R: Modern Text Mining Framework for R

# Modern Text Mining Framework for R

## Documentation for package ‘text2vec’ version 0.6.4

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

text2vec-package | text2vec
as.lda_c | Converts document-term matrix sparse matrix to 'lda_c' format
BNS | BNS
char_tokenizer | Simple tokenization functions for string splitting
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_dtm.itoken | Document-term matrix construction
create_dtm.itoken_parallel | Document-term matrix construction
create_tcm | Term-co-occurence matrix construction
create_tcm.itoken | Term-co-occurence matrix construction
create_tcm.itoken_parallel | Term-co-occurence matrix construction
create_vocabulary | Creates a vocabulary of unique terms
create_vocabulary.character | Creates a vocabulary of unique terms
create_vocabulary.itoken | Creates a vocabulary of unique terms
create_vocabulary.itoken_parallel | Creates a vocabulary of unique terms
dist2 | Pairwise Distance Matrix Computation
distances | Pairwise Distance Matrix Computation
GlobalVectors | re-export rsparse::GloVe
GloVe | re-export rsparse::GloVe
hash_vectorizer | Vocabulary and hash vectorizers
idir | Creates iterator over text files from the disk
ifiles | Creates iterator over text files from the disk
ifiles_parallel | Creates iterator over text files from the disk
itoken | Iterators (and parallel iterators) over input objects
itoken.character | Iterators (and parallel iterators) over input objects
itoken.iterator | Iterators (and parallel iterators) over input objects
itoken.list | Iterators (and parallel iterators) over input objects
itoken_parallel | Iterators (and parallel iterators) over input objects
itoken_parallel.character | Iterators (and parallel iterators) over input objects
itoken_parallel.iterator | Iterators (and parallel iterators) over input objects
itoken_parallel.list | Iterators (and parallel iterators) over input objects
jsPCA_robust | (numerically robust) Dimension reduction via Jensen-Shannon Divergence & Principal Components
LatentDirichletAllocation | Creates Latent Dirichlet Allocation model.
LatentSemanticAnalysis | Latent Semantic Analysis model
LDA | Creates Latent Dirichlet Allocation model.
LSA | Latent Semantic Analysis model
movie_review | IMDB movie reviews
normalize | Matrix normalization
pdist2 | Pairwise Distance Matrix Computation
perplexity | Perplexity of a topic model
postag_lemma_tokenizer | Simple tokenization functions for string splitting
prepare_analogy_questions | Prepares list of analogy questions
print.text2vec_vocabulary | Printing Vocabulary
prune_vocabulary | Prune vocabulary
psim2 | Pairwise Similarity Matrix Computation
RelaxedWordMoversDistance | Creates Relaxed Word Movers Distance (RWMD) model
RWMD | Creates Relaxed Word Movers Distance (RWMD) model
sim2 | Pairwise Similarity Matrix Computation
similarities | Pairwise Similarity Matrix Computation
space_tokenizer | Simple tokenization functions for string splitting
split_into | Split a vector for parallel processing
text2vec | text2vec
TfIdf | TfIdf
tokenizers | Simple tokenization functions for string splitting
vectorizers | Vocabulary and hash vectorizers
vocabulary | Creates a vocabulary of unique terms
vocab_vectorizer | Vocabulary and hash vectorizers
word_tokenizer | Simple tokenization functions for string splitting