Function reference • tidytext

Transform and tokenize text
`unnest_tokens()`	Split a column into tokens
`unnest_characters()` `unnest_character_shingles()`	Wrapper around unnest_tokens for characters and character shingles
`unnest_ngrams()` `unnest_skip_ngrams()`	Wrapper around unnest_tokens for n-grams
`unnest_sentences()` `unnest_lines()` `unnest_paragraphs()`	Wrapper around unnest_tokens for sentences, lines, and paragraphs
`unnest_regex()`	Wrapper around unnest_tokens for regular expressions
`unnest_ptb()`	Wrapper around unnest_tokens for Penn Treebank Tokenizer
Term frequency and inverse document frequency
`bind_tf_idf()`	Bind the term frequency and inverse document frequency of a tidy text dataset to the dataset
Tidy
`tidy(<corpus>)` `glance(<corpus>)`	Tidiers for a corpus object from the quanteda package
`tidy(<dictionary2>)`	Tidy dictionary objects from the quanteda package
`tidy(<LDA>)` `tidy(<CTM>)` `augment(<LDA>)` `augment(<CTM>)` `glance(<LDA>)` `glance(<CTM>)`	Tidiers for LDA and CTM objects from the topicmodels package
`tidy(<jobjRef>)` `augment(<jobjRef>)`	Tidiers for Latent Dirichlet Allocation models from the mallet package
`tidy(<STM>)` `tidy(<estimateEffect>)` `glance(<estimateEffect>)` `augment(<STM>)` `glance(<STM>)`	Tidiers for Structural Topic Models from the stm package
`tidy(<DocumentTermMatrix>)` `tidy(<TermDocumentMatrix>)` `tidy(<dfm>)` `tidy(<dfmSparse>)` `tidy(<simple_triplet_matrix>)`	Tidy DocumentTermMatrix, TermDocumentMatrix, and related objects from the tm package
`tidy(<Corpus>)`	Tidy a Corpus object from the tm package
`tidy_triplet()`	Utility function to tidy a simple triplet matrix
Cast
`cast_tdm()` `cast_dtm()` `cast_dfm()`	Casting a data frame to a DocumentTermMatrix, TermDocumentMatrix, or dfm
`cast_sparse()`	Create a sparse matrix from row names, column names, and values in a table.
Supporting data sets
`get_sentiments()`	Get a tidy data frame of a single sentiment lexicon
`get_stopwords()`	Get a tidy data frame of a single stopword lexicon
`sentiments`	Sentiment lexicon from Bing Liu and collaborators
`stop_words`	Various lexicons for English stop words
`nma_words`	English negators, modals, and adverbs
`parts_of_speech`	Parts of speech for English words from the Moby Project
Graphing helpers
`reorder_within()` `scale_x_reordered()` `scale_y_reordered()` `reorder_func()`	Reorder an x or y axis within facets
Package info
`tidytext` `tidytext-package`	tidytext: Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools

Reference

Transform and tokenize text

Term frequency and inverse document frequency

Tidy

Cast

Supporting data sets

Graphing helpers

Package info