quanteda package - RDocumentation

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About

An R package for managing and analyzing text, created by Kenneth Benoit. Supported by the European Research Council grant ERC-2011-StG 283794-QUANTESS.

For more details, see https://docs.quanteda.io/index.html.

How to Install

The normal way from CRAN, using your R GUI or

install.packages("quanteda")

Or for the latest development version:

# devtools package required to install quanteda from Github 
devtools::install_github("quanteda/quanteda")

Because this compiles some C++ and Fortran source code, you will need to have installed the appropriate compilers.

If you are using a Windows platform, this means you will need also to install the Rtools software available from CRAN.

If you are using macOS, you should install the macOS tools, namely the Clang 6.x compiler and the GNU Fortran compiler (as quanteda requires gfortran to build).

How to Use

See the quick start guide to learn how to use quanteda.

Leaving Feedback

If you like quanteda, please consider leaving feedback or a testimonial here.

Contributing

Contributions in the form of feedback, comments, code, and bug reports are most welcome. How to contribute:

Fork the source code, modify, and issue a pull request through the project GitHub page. See our Contributor Code of Conduct and the all-important quanteda Style Guide.
Issues, bug reports, and wish lists: File a GitHub issue.
Usage questions: Submit a question on the quanteda channel on StackOverflow.
Contact the maintainer by email.

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Version

Install

install.packages('quanteda')

Monthly Downloads

24,111

Version

1.3.4

License

GPL-3

Maintainer

Kenneth Benoit

Last Published

July 15th, 2018

Functions in quanteda (1.3.4)

as.corpus.corpuszip

Coerce a compressed corpus to a standard corpus

as.data.frame.dfm

Convert a dfm to a data.frame

redefinition of network::as.network()

as.statistics_textmodel

Coerce various objects to statistics_textmodel This is a helper function used in summary.textmodel_*.

Coerce a dist into a dist

Coercion functions for fcm objects

Convert quanteda dictionary objects to the YAML format

Convert an fcm to an igraph object

Coerce a dist object into a list

Convert the case of character objects

Check if font is available on the system

Extract a subset of a corpus

Remove sentences based on their token lengths or a pattern match

Create a document-feature matrix

Internal functions for dfm objects

Extract a subset of a dfm

Combine documents in a dfm by a grouping variable

Weight a dfm by tf-idf

Apply a dictionary to a dfm

Coercion and checking functions for dfm objects

View methods for quanteda

Internal function for select_types() to escape regular expressions

Coercion and checking functions for dictionary objects

Internal function to fit the likelihood scaling mixture model.

Convert the case of the features of a dfm and combine

Simpler and faster version of expand.grid() in base package

Function extending base::attributes()

as.matrix.dist_selection

Coerce a dist_selection object to a matrix

as.summary.textmodel

Assign the summary.textmodel class to a list

Return the first or last part of a dfm

Construct a corpus object

influence.predict.textmodel_affinity

Compute feature influence from a predicted textmodel_affinity object

Coercion, checking, and combining functions for tokens objects

as.matrix.simil

Coerce a simil object into a matrix

Convert a dfm to a non-quanteda format

coef.textmodel_ca

Extract model coefficients from a fitted textmodel_ca object

convert-wrappers

Convenience wrappers for dfm convert

Check if a glob pattern is indexed by index_types

Base method extensions for corpus objects

Internal function for select_types() to check if a string is a regular expression

Count the number of documents or features

as.coefficients_textmodel

Coerce various objects to coefficients_textmodel This is a helper function used in summary.textmodel_*.

corpus_trimsentences

Remove sentences based on their token lengths or a pattern match

Utility function to create a object with new set of attributes

nest_dictionary

Utility function to generate a nested list

data-deprecated

Datasets with deprecated or defunct names

Trim a dfm using frequency threshold-based feature selection

Recast the document units of a corpus

data_corpus_dailnoconf1991

Confidence debate from 1991 Irish Parliament

predict.textmodel_affinity

Prediction for a fitted affinity textmodel

Get or set corpus metadata

coerce a compressed corpus to a standard corpus

data_dictionary_LSD2015

Lexicoder Sentiment Dictionary (2015)

Virtual class "dfm" for a document-feature matrix

predict.textmodel_nb

Prediction from a fitted textmodel_nb object

Get or set document-level meta-data

data_corpus_inaugural

US presidential inaugural address texts

Internal data sets

Convert a dfm to an lsa "textmatrix"

as.list.dist_selection

Coerce a dist_selection object into a list

Recombine a dfm or fcm by combining identical dimension elements

print.textmodel_wordfish

print method for a wordfish model

data_char_sampletext

A paragraph of text for testing various text-based functions

Coerce a dfm to a matrix or data.frame

Pattern for feature, token and keyword matching

data_char_ukimmig2010

Immigration-related sections of 2010 UK party manifestos

Convert regex and glob patterns to type IDs or fixed patterns

Replace features in dfm

Select features from a dfm or fcm

Bootstrap a dfm

Sort a dfm by frequency of one or more margins

friendly_class_undefined_message

Print friendly object class not defined message

print.dist_selection

Print a dist_selection object

generate_groups

Generate a grouping vector from docvars

quanteda-package

An R package for the quantitative analysis of textual data

Get or set document names

Get or set document-level variables

Virtual class "fcm" for a feature co-occurrence matrix The fcm class of object is a special type of fcm object with additional slots, described below.

Combine dfm objects by Rows or Columns

Print a phrase object

Create a feature co-occurrence matrix

Compute keyness (internal functions)

Convert various input as pattern to a vector used in tokens_select, tokens_compound and kwic.

Set values to a fcm's S4 slots

Set values to a dfm's S4 slots

Locate keywords-in-context

textmodel_lsa-postestimation

Post-estimations methods for textmodel_lsa

replace_dictionary_values

Internal function to replace dictionary values

Randomly sample documents or features from a dfm

Declare a compound character to be a sequence of separate pattern matches

Count syllables in a text

Deprecated name for nscrabble

predict.textmodel_wordfish

Prediction from a textmodel_wordfish method

Latent Semantic Analysis

Get or set the corpus settings

textplot_network

Plot a network of feature co-occurrences

predict.textmodel_wordscores

Predict textmodel_wordscores

deprecated name for dfm_weight

Select types without performing slow regex search

textplot_scale1d

Plot a fitted scaling model

Function to assign multiple slots to a S4 object

Internal function for select_types to search the index using fastmatch.

Select or remove tokens from a tokens object

Deprecated form of dfm_tfidf

textmodel_wordscores

Wordscores text model

Count the number of tokens or types

textmodel_wordshoal

Wordshoal text model (redirect)

Randomly sample documents from a corpus

Segment texts on a pattern match

summary.character

summary.character method to override the network::summary.character()

data_dfm_lbgexample

dfm from data in Table 1 of Laver, Benoit, and Garry (2003)

quanteda_options

Get or set package options for quanteda

Import a LIWC-formatted dictionary

Extensions for and from spacy_parse objects

data_corpus_irishbudget2010

Irish budget speeches from 2010

Get or assign corpus texts

textstat_collocations

Identify and score multi-word expressions

Weight the feature frequencies in a dfm

Grouping variable(s) for various functions

dictionary2-class

Print a dictionary object

Compute the (weighted) document frequency of a feature

Create a dictionary

Compute the sparsity of a document-feature matrix

Summarize a corpus

Return the first or last part of a corpus

textstat_select

Select rows of textstat objects by glob, regex or fixed patterns

list2dictionary

Internal function to convert a list to a dictionary

tokens_serialize

Function to serialized list-of-character tokens

Sort an fcm in alphabetical order of the features

Get the feature labels from a dfm

textplot_influence

Influence plot for text scaling models

Correspondence analysis of a document-feature matrix

Similarity and distance computation between documents or features

Create ngrams and skipgrams from tokens

Identify the most frequent features in a dfm

Conversts a Matrix to a fcm

textmodel_affinity

Class affinity maximum likelihood text scaling model

tokens_recompile

recompile a serialized tokens object

textstat_frequency

Tabulate feature frequencies

Raise warning of unused dots

Get word types from a tokens object

merge_dictionary_values

Internal function to merge values of duplicated keys

Pattern matching using valuetype

print.statistics_textmodel

Implements print methods for textmodel_statistics

textplot_keyness

Plot word keyness

print.summary.textmodel

print method for summary.textmodel

summary_character

Summary statistics on a character vector

textstat_keyness

Calculate keyness statistics

textmodel_affinity-internal

Internal methods for textmodel_affinity

Conversts a Matrix to a dfm

Tokenize a set of texts

tokens_compound

Convert token sequences into compound tokens

textstat_lexdiv

Calculate lexical diversity

Count the number of sentences

Count the Scrabble letter values of text

textstat_readability

Calculate readability

textplot_wordcloud

Plot features as a wordcloud

Plot the dispersion of key word(s)

[Experimental] Change direction of words in tokens

Extract a subset of a tokens

Recombine documents tokens by groups

print.coefficients_textmodel

Print methods for textmodel features estimates This is a helper function used in print.summary.textmodel.

tokens_wordstem

Stem the terms in an object

Convert the case of tokens

Print a dfm object

Internal function for textplot_wordcloud

Objects exported from other packages

Apply a dictionary to a tokens object

Replace types in tokens object

remove_empty_keys

Utility function to remove empty keys

wordcloud_comparison

Internal function for textplot_wordcloud

Segment tokens object by patterns

summary.textmodel_nb

summary method for textmodel_nb objects

summary.textmodel_wordfish

summary method for textmodel_wordfish

Naive Bayes classifier for texts

textmodel_wordfish

Wordfish text model