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quanteda (version 0.9.0-1)

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

0.9.0-1

License

GPL-3

Issues

55

Pull Requests

1

Stars

853

Forks

187

Maintainer

Kenneth Benoit

Last Published

November 27th, 2015

Functions in quanteda (0.9.0-1)

encodedTexts

encoded texts for testing
exampleString

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

dfm containing example data from Table 1 of Laver Benoit and Garry (2003)
kwic

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

get the number of documents or features
syllables

count syllables in a text
collocations

Detect collocations from text
cbind.dfm

combine dfm object by columns
corpusSource-class

corpus source classes
textmodel_wordscores

Wordscores text model
changeunits

change the document units of a corpus
docvars

get or set for document-level variables
applyDictionary

apply a dictionary or thesarus to an object
dfm

create a document-feature matrix
convert

convert a dfm to a non-quanteda format
features

extract the feature labels from a dfm
corpus

constructor for corpus objects
print.tokenizedTexts

print a tokenizedTexts objects
head.dfm

Return the first or last part of a dfm
dictionary

create a dictionary
lexdiv

calculate lexical diversity
docnames

get or set document names
stopwords

access built-in stopwords
metacorpus

get or set corpus metadata
ie2010Corpus

Irish budget speeches from 2010
readability

calculate readability
selectFeatures

select features from an object
dfm-class

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

read a text corpus source from a file
textmodel_fitted-class

the fitted textmodel classes
textmodel

fit a text model
ukimmigTexts

Immigration-related sections of 2010 UK party manifestos
textmodel_wordfish

wordfish text model
quanteda-package

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

compute similarities between documents and/or features
tokenize

tokenize a set of texts
encoding

detect the encoding of texts
ngrams

Create ngrams and skipgrams
trim

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

word lists used in some readability indexes
phrasetotoken

convert phrases into single tokens
print.dfm

print a dfm object
sample.corpus

Randomly sample documents or features
plot.kwic

plot a dispersion plot of key word(s)
texts

get corpus texts
toLower

Convert texts to lower case
docfreq

get the document frequency of a feature
show,dictionary-method

print a dictionary object
nsentence

count the number of sentences
ntoken

count the number of tokens or types
topfeatures

list the most frequent features
textmodel_ca

correspondence analysis of a document-feature matrix
settings

Get or set the corpus settings
subset.corpus

extract a subset of a corpus
scrabble

compute the Scrabble letter values of text
sort.dfm

sort a dfm by one or more margins
segment

segment texts into component elements
removeFeatures

remove features from an object
wordstem

stem words
weight

Weight the feature frequencies in a dfm by various methods
inaugCorpus

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

get or set document-level meta-data
plot.dfm

plot features as a wordcloud
summary.corpus

summarize a corpus or a vector of texts