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quanteda (version 0.9.6-1)

Quantitative Analysis of Textual Data

Description

A fast, flexible toolset for for the management, processing, and quantitative analysis of textual data in R.

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Install

install.packages('quanteda')

Monthly Downloads

24,111

Version

0.9.6-1

License

GPL-3

Issues

59

Pull Requests

2

Stars

854

Forks

187

Maintainer

Kenneth Benoit

Last Published

May 9th, 2016

Functions in quanteda (0.9.6-1)

metadoc

get or set document-level meta-data
encoding

detect the encoding of texts
ngrams

Create ngrams and skipgrams
encodedTextFiles

a .zip file of texts containing a variety of differently encoded texts
textmodel

fit a text model
settings

Get or set the corpus settings
textfile

read a text corpus source from a file
selectFeatures

select features from an object
weight

weight the feature frequencies in a dfm
wordlists

word lists used in some readability indexes
collocations

Detect collocations from text
applyDictionary

apply a dictionary or thesarus to an object
ie2010Corpus

Irish budget speeches from 2010
tfidf

compute tf-idf weights from a dfm
dfm

create a document-feature matrix
trim

Trim a dfm using threshold-based or random feature selection
topfeatures

list the most frequent features
dictionary

create a dictionary
head.dfm

Return the first or last part of a dfm
tokenize

tokenize a set of texts
LBGexample

dfm with example data from Table 1 of Laver Benoit and Garry (2003)
predict.textmodel_NB_fitted

prediction method for Naive Bayes classifier objects
docnames

get or set document names
quanteda-package

An R package for the quantitative analysis of textual data
sort.dfm

sort a dfm by one or more margins
syllables

count syllables in a text
textmodel_fitted-class

the fitted textmodel classes
subset.corpus

extract a subset of a corpus
textmodel_wordscores

Wordscores text model
textmodel_ca

correspondence analysis of a document-feature matrix
encodedTexts

encoded texts for testing
toLower

Convert texts to lower case
wordstem

stem words
dfm-class

Virtual class "dfm" for a document-feature matrix
inaugCorpus

A corpus of US presidential inaugural addresses from 1789-2013
ndoc

get the number of documents or features
plot.dfm

plot features as a wordcloud
convert

convert a dfm to a non-quanteda format
features

extract the feature labels from a dfm
ntoken

count the number of tokens or types
similarity

compute similarities between documents and/or features
show,dictionary-method

print a dictionary object
plot.kwic

plot a dispersion plot of key word(s)
corpus

constructor for corpus objects
textmodel_wordfish

wordfish text model
kwic

List key words in context from a text or a corpus of texts.
nsentence

count the number of sentences
lexdiv

calculate lexical diversity
phrasetotoken

convert phrases into single tokens
print.dfm

print a dfm object
textmodel_NB

Naive Bayes classifier for texts
readability

calculate readability
exampleString

A paragraph of text for testing various text-based functions
ukimmigTexts

Immigration-related sections of 2010 UK party manifestos
compress

compress a dfm by combining similarly named dimensions
cbind.dfm

Combine dfm objects by Rows or Columns
mobydickText

Project Gutenberg text of Herman Melville's Moby Dick
print.tokenizedTexts

print a tokenizedTexts objects
scrabble

compute the Scrabble letter values of text
sample

Randomly sample documents or features
segment

segment texts into component elements
docvars

get or set for document-level variables
texts

get corpus texts
changeunits

change the document units of a corpus
metacorpus

get or set corpus metadata
as.data.frame,dfm-method

coerce a dfm to a data.frame
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") })
removeFeatures

remove features from an object
summary.corpus

summarize a corpus or a vector of texts
stopwords

access built-in stopwords
corpusSource-class

corpus source classes
tf

compute (weighted) term frequency from a dfm