LBGexample              dfm with example data from Table 1 of Laver
                        Benoit and Garry (2003)
applyDictionary         apply a dictionary or thesarus to an object
as.data.frame,dfm-method
                        coerce a dfm to a data.frame
cbind.dfm               Combine dfm objects by Rows or Columns
changeunits             change the document units of a corpus
collocations            Detect collocations from text
compress                compress a dfm by combining similarly named
                        dimensions
convert                 convert a dfm to a non-quanteda format
corpus                  constructor for corpus objects
corpusSource-class      corpus source classes
dfm                     create a document-feature matrix
dfm-class               Virtual class "dfm" for a document-feature
                        matrix
dictionary              create a dictionary
docfreq                 #' @rdname weight #' @return 'weight, x' with
                        no 'type' argument queries the weighting
                        applied to the dfm, returning
                        setMethod("weight", signature(c("dfm",
                        "MISSING")), function(x) if (isS4(x))
                        x@weighting else attr(x, "weighting") )
docnames                get or set document names
docvars                 get or set for document-level variables
encodedTextFiles        a .zip file of texts containing a variety of
                        differently encoded texts
encodedTexts            encoded texts for testing
encoding                detect the encoding of texts
exampleString           A paragraph of text for testing various
                        text-based functions
features                extract the feature labels from a dfm
head.dfm                Return the first or last part of a dfm
ie2010Corpus            Irish budget speeches from 2010
inaugCorpus             A corpus of US presidential inaugural addresses
                        from 1789-2013
kwic                    List key words in context from a text or a
                        corpus of texts.
lexdiv                  calculate lexical diversity
metacorpus              get or set corpus metadata
metadoc                 get or set document-level meta-data
mobydickText            Project Gutenberg text of Herman Melville's
                        _Moby Dick_
ndoc                    get the number of documents or features
ngrams                  Create ngrams and skipgrams
nsentence               count the number of sentences
ntoken                  count the number of tokens or types
phrasetotoken           convert phrases into single tokens
plot.dfm                plot features as a wordcloud
plot.kwic               plot a dispersion plot of key word(s)
predict.textmodel_NB_fitted
                        prediction method for Naive Bayes classifier
                        objects
print.dfm               print a dfm object
print.tokenizedTexts    print a tokenizedTexts objects
quanteda-package        An R package for the quantitative analysis of
                        textual data
readability             calculate readability
removeFeatures          remove features from an object
sample                  Randomly sample documents or features
scrabble                compute the Scrabble letter values of text
segment                 segment texts into component elements
selectFeatures          select features from an object
settings                Get or set the corpus settings
show,dictionary-method
                        print a dictionary object
similarity              compute similarities between documents and/or
                        features
sort.dfm                sort a dfm by one or more margins
stopwords               access built-in stopwords
subset.corpus           extract a subset of a corpus
summary.corpus          summarize a corpus or a vector of texts
syllables               count syllables in a text
textfile                read a text corpus source from a file
textmodel               fit a text model
textmodel_NB            Naive Bayes classifier for texts
textmodel_ca            correspondence analysis of a document-feature
                        matrix
textmodel_fitted-class
                        the fitted textmodel classes
textmodel_wordfish      wordfish text model
textmodel_wordscores    Wordscores text model
texts                   get corpus texts
tf                      compute (weighted) term frequency from a dfm
tfidf                   compute tf-idf weights from a dfm
toLower                 Convert texts to lower case
tokenize                tokenize a set of texts
topfeatures             list the most frequent features
trim                    Trim a dfm using threshold-based or random
                        feature selection
ukimmigTexts            Immigration-related sections of 2010 UK party
                        manifestos
weight                  weight the feature frequencies in a dfm
wordlists               word lists used in some readability indexes
wordstem                stem words
