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quanteda (version 0.8.2-0)

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

0.8.2-0

License

GPL-3

Issues

59

Pull Requests

2

Stars

854

Forks

187

Maintainer

Kenneth Benoit

Last Published

July 31st, 2015

Functions in quanteda (0.8.2-0)

corpus

constructor for corpus objects
LBGexample

dfm containing example data from Table 1 of Laver Benoit and Garry (2003)
show,dictionary-method

print a dictionary object
scrabble

compute the Scrabble letter values of text
dfm-class

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

the fitted textmodel classes
readability

calculate readability
sort.dfm

sort a dfm by one or more margins
plot.dfm

plot features as a wordcloud
docfreq

get the document frequency of a feature
ntoken

count the number of tokens or types
ndoc

get the number of documents or features
settings

Get or set the corpus settings
textmodel

fit a text model
exampleString

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

convert phrases into single tokens
quanteda-package

An R package for the quantitative analysis of textual data.
similarity

compute similarities between documents and/or features
corpusSource-class

corpus source classes
segment

segment texts into component elements
tokenize

tokenize a set of texts
kwic

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

get or set document names
nsentence

count the number of sentences
textmodel_ca

correspondence analysis of a document-feature matrix
inaugCorpus

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

get or set document-level meta-data
textfile

read a text corpus source from a file
syllables

count syllables in a text
docvars

get or set for document-level variables
ngrams

Create ngrams
dictionary

create a dictionary
weight

Weight the feature frequencies in a dfm by various methods
selectFeatures

select features from an object
textmodel_wordscores

Wordscores text model
toLower

Convert texts to lower case
trim

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

word lists used in some readability indexes
applyDictionary

apply a dictionary or thesarus to an object
changeunits

change the document units of a corpus
bigrams

Create bigrams
encodedTexts

encoded texts for testing
dfm

create a document-feature matrix
lexdiv

calculate lexical diversity
encoding

detect the encoding of texts
stopwords

access built-in stopwords
metacorpus

get or set corpus metadata
removeFeatures

remove features from an object
print.dfm

print a dfm object
collocations

Detect collocations from text
ie2010Corpus

Irish budget speeches from 2010
wordstem

stem words
summary.corpus

summarize a corpus or a vector of texts
ukimmigTexts

Immigration-related sections of 2010 UK party manifestos
textmodel_wordfish

wordfish text model
convert

convert a dfm to a non-quanteda format
features

extract the feature labels from a dfm
subset.corpus

extract a subset of a corpus
topfeatures

list the most frequent features
texts

get corpus texts