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quanteda (version 0.8.6-0)
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
18,454
Version
0.8.6-0
License
GPL-3
Issues
48
Pull Requests
2
Stars
825
Forks
187
Repository
http://github.com/kbenoit/quanteda
Maintainer
Kenneth Benoit
Last Published
October 15th, 2015
Functions in quanteda (0.8.6-0)
Search functions
ie2010Corpus
Irish budget speeches from 2010
print.tokenizedTexts
print a tokenizedTexts objects
ngrams
Create ngrams
corpusSource-class
corpus source classes
summary.corpus
summarize a corpus or a vector of texts
print.dfm
print a dfm object
show,dictionary-method
print a dictionary object
metacorpus
get or set corpus metadata
scrabble
compute the Scrabble letter values of text
docnames
get or set document names
features
extract the feature labels from a dfm
docfreq
get the document frequency of a feature
readability
calculate readability
encoding
detect the encoding of texts
weight
Weight the feature frequencies in a dfm by various methods
syllables
count syllables in a text
textmodel_wordscores
Wordscores text model
corpus
constructor for corpus objects
tokenize
tokenize a set of texts
textmodel_fitted-class
the fitted textmodel classes
exampleString
A paragraph of text for testing various text-based functions
topfeatures
list the most frequent features
lexdiv
calculate lexical diversity
inaugCorpus
A corpus of US presidential inaugural addresses from 1789-2013
convert
convert a dfm to a non-quanteda format
removeFeatures
remove features from an object
LBGexample
dfm containing example data from Table 1 of Laver Benoit and Garry (2003)
dictionary
create a dictionary
sort.dfm
sort a dfm by one or more margins
textmodel
fit a text model
textmodel_ca
correspondence analysis of a document-feature matrix
wordlists
word lists used in some readability indexes
encodedTexts
encoded texts for testing
textfile
read a text corpus source from a file
segment
segment texts into component elements
applyDictionary
apply a dictionary or thesarus to an object
trim
Trim a dfm using threshold-based or random feature selection
subset.corpus
extract a subset of a corpus
docvars
get or set for document-level variables
head.dfm
Return the first or last part of a dfm
collocations
Detect collocations from text
nsentence
count the number of sentences
metadoc
get or set document-level meta-data
ntoken
count the number of tokens or types
dfm
create a document-feature matrix
kwic
List key words in context from a text or a corpus of texts.
similarity
compute similarities between documents and/or features
sample.corpus
Randomly sample documents or features
toLower
Convert texts to lower case
textmodel_wordfish
wordfish text model
texts
get corpus texts
plot.dfm
plot features as a wordcloud
changeunits
change the document units of a corpus
settings
Get or set the corpus settings
phrasetotoken
convert phrases into single tokens
wordstem
stem words
ukimmigTexts
Immigration-related sections of 2010 UK party manifestos
quanteda-package
An R package for the quantitative analysis of textual data.
dfm-class
Virtual class "dfm" for a document-feature matrix
stopwords
access built-in stopwords
ndoc
get the number of documents or features
selectFeatures
select features from an object