as.corpus.corpuszip     Coerce a compressed corpus to a standard corpus
as.dfm                  Coercion and checking functions for dfm objects
as.dictionary           Coercion and checking functions for dictionary
                        objects
as.list.dist            Coerce a dist object into a list
as.matrix.dfm           Coerce a dfm to a matrix or data.frame
as.tokens               Coercion, checking, and combining functions for
                        tokens objects
as.yaml                 Convert quanteda dictionary objects to the YAML
                        format
bootstrap_dfm           Bootstrap a dfm
char_tolower            Convert the case of character objects
convert                 Convert a dfm to a non-quanteda format
corpus                  Construct a corpus object
corpus_reshape          Recast the document units of a corpus
corpus_sample           Randomly sample documents from a corpus
corpus_segment          Segment texts on a pattern match
corpus_subset           Extract a subset of a corpus
corpus_trim             Remove sentences based on their token lengths
                        or a pattern match
data_char_sampletext    A paragraph of text for testing various
                        text-based functions
data_char_ukimmig2010   Immigration-related sections of 2010 UK party
                        manifestos
data_corpus_dailnoconf1991
                        Confidence debate from 1991 Irish Parliament
data_corpus_inaugural   US presidential inaugural address texts
data_corpus_irishbudget2010
                        Irish budget speeches from 2010
data_dfm_lbgexample     dfm from data in Table 1 of Laver, Benoit, and
                        Garry (2003)
data_dictionary_LSD2015
                        Lexicoder Sentiment Dictionary (2015)
dfm                     Create a document-feature matrix
dfm_compress            Recombine a dfm or fcm by combining identical
                        dimension elements
dfm_group               Combine documents in a dfm by a grouping
                        variable
dfm_lookup              Apply a dictionary to a dfm
dfm_match               Match the feature set of a dfm to given feature
                        names
dfm_replace             Replace features in dfm
dfm_sample              Randomly sample documents or features from a
                        dfm
dfm_select              Select features from a dfm or fcm
dfm_sort                Sort a dfm by frequency of one or more margins
dfm_subset              Extract a subset of a dfm
dfm_tfidf               Weight a dfm by _tf-idf_
dfm_tolower             Convert the case of the features of a dfm and
                        combine
dfm_trim                Trim a dfm using frequency threshold-based
                        feature selection
dfm_weight              Weight the feature frequencies in a dfm
dictionary              Create a dictionary
docfreq                 Compute the (weighted) document frequency of a
                        feature
docnames                Get or set document names
docvars                 Get or set document-level variables
fcm                     Create a feature co-occurrence matrix
fcm_sort                Sort an fcm in alphabetical order of the
                        features
featnames               Get the feature labels from a dfm
head.corpus             Return the first or last part of a corpus
head.dfm                Return the first or last part of a dfm
kwic                    Locate keywords-in-context
metacorpus              Get or set corpus metadata
metadoc                 Get or set document-level meta-data
ndoc                    Count the number of documents or features
nscrabble               Count the Scrabble letter values of text
nsentence               Count the number of sentences
nsyllable               Count syllables in a text
ntoken                  Count the number of tokens or types
phrase                  Declare a compound character to be a sequence
                        of separate pattern matches
quanteda-package        An R package for the quantitative analysis of
                        textual data
quanteda_options        Get or set package options for quanteda
spacyr-methods          Extensions for and from spacy_parse objects
sparsity                Compute the sparsity of a document-feature
                        matrix
textmodel_affinity      Class affinity maximum likelihood text scaling
                        model
textmodel_ca            Correspondence analysis of a document-feature
                        matrix
textmodel_lsa           Latent Semantic Analysis
textmodel_nb            Naive Bayes classifier for texts
textmodel_wordfish      Wordfish text model
textmodel_wordscores    Wordscores text model
textplot_influence      Influence plot for text scaling models
textplot_keyness        Plot word keyness
textplot_network        Plot a network of feature co-occurrences
textplot_scale1d        Plot a fitted scaling model
textplot_wordcloud      Plot features as a wordcloud
textplot_xray           Plot the dispersion of key word(s)
texts                   Get or assign corpus texts
textstat_collocations   Identify and score multi-word expressions
textstat_entropy        Compute entropy of documents or features
textstat_frequency      Tabulate feature frequencies
textstat_keyness        Calculate keyness statistics
textstat_lexdiv         Calculate lexical diversity
textstat_readability    Calculate readability
textstat_simil          Similarity and distance computation between
                        documents or features
tokens                  Tokenize a set of texts
tokens_chunk            Segment tokens object by chunks of a given size
tokens_compound         Convert token sequences into compound tokens
tokens_lookup           Apply a dictionary to a tokens object
tokens_ngrams           Create ngrams and skipgrams from tokens
tokens_replace          Replace tokens in a tokens object
tokens_sample           Randomly sample documents from a tokens object
tokens_select           Select or remove tokens from a tokens object
tokens_split            Split tokens by a separator pattern
tokens_subset           Extract a subset of a tokens
tokens_tolower          Convert the case of tokens
tokens_tortl            [Experimental] Change direction of words in
                        tokens
tokens_wordstem         Stem the terms in an object
topfeatures             Identify the most frequent features in a dfm
types                   Get word types from a tokens object
