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quanteda (version 0.7.2-1)

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

0.7.2-1

License

GPL-3

Issues

59

Pull Requests

2

Stars

854

Forks

187

Maintainer

Kenneth Benoit

Last Published

June 2nd, 2015

Functions in quanteda (0.7.2-1)

lexdiv

calculate lexical diversity
docfreq

get the document frequency of a feature
ngrams

Create ngrams
clean

simple cleaning of text before processing
kwic

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

remove features from an object
ntoken

count the number of tokens
textmodel_wordscores

Wordscores text model
dfm-class

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

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

Get or set the corpus settings
summary.corpus

summarize a corpus or a vector of texts
topfeatures

list the most frequent features
print.dfm

print a dfm object
collocations

Detect collocations from text
textmodel_ca

correspondence analysis of a document-feature matrix
tokenize

tokenize a set of texts
docvars

get or set for document-level variables
docnames

get or set document names
ie2010Corpus

Irish budget speeches from 2010
bigrams

Create bigrams
textmodel_fitted-class

the fitted textmodel classes
dfm

create a document-feature matrix
encoding

get the encoding of documents in a corpus
stopwords

access built-in stopwords
syllables

count syllables in a text
subset.corpus

extract a subset of a corpus
exampleString

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

wordfish text model
corpusSource-class

corpus source classes
metacorpus

get or set corpus metadata
ndoc

get the number of documents or features
phrasetotoken

convert phrases into single tokens
plot.dfm

plot features as a wordcloud
metadoc

get or set document-level meta-data
quanteda-package

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

get or set corpus texts
segment

segment texts into component elements
textfile

read a text corpus source from a file
tokenizeOnly

tokenizeOnly
LBGexample

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

constructor for corpus objects
convert

convert a dfm to a non-quanteda format
dictionary-class

create a dictionary
language

get or set the language of corpus documents
features

extract the feature labels from a dfm
sort.dfm

sort a dfm by one or more margins
weight

Weight the feature frequencies in a dfm by various methods
textmodel

fit a text model
ukimmigTexts

Immigration-related sections of 2010 UK party manifestos
trim

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

change the document units of a corpus
similarity

compute similarities between documents and/or features
wordstem

stem words