R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
quanteda
Quantitative Analysis of Textual Data
View on CRAN: Click
here
Download and install quanteda package within the R console
Install from CRAN:
install.packages("quanteda")
Install from Github:
library("remotes")
install_github("cran/quanteda") Install by package version:
library("remotes")
install_version("quanteda", "4.5.0") Attach the package and use:
library("quanteda")
Maintained by
Kenneth Benoit
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-04-07
Latest Update: 2025-07-10
Description:
A fast, flexible, and comprehensive framework for
quantitative text analysis in R. Provides functionality for corpus management,
creating and manipulating tokens and n-grams, exploring keywords in context,
forming and manipulating sparse matrices
of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and
distances, applying content dictionaries, applying supervised and unsupervised machine learning,
visually representing text and text analyses, and more.
How to cite:
Kenneth Benoit (2015). quanteda: Quantitative Analysis of Textual Data. R package version 4.5.0, https://cran.r-project.org/web/packages/quanteda. Accessed 05 Oct. 2026.
Previous versions and publish date:
(2026-08-04 21:40), 0.7.2-1 (2015-06-02 16:51), 0.7.2 (2015-04-07 16:00), 0.8.0-3 (2015-07-11 11:02), 0.8.0-4 (2015-07-13 12:44), 0.8.2-0 (2015-07-31 05:27), 0.8.2-1 (2015-08-18 08:34), 0.8.4-2 (2015-09-09 13:33), 0.8.6-0 (2015-10-15 15:18), 0.9.0-1 (2015-11-27 11:41), 0.9.2-0 (2016-01-11 11:22), 0.9.4 (2016-02-21 19:52), 0.9.6-1 (2016-05-09 10:08), 0.9.6-9 (2016-05-21 00:07), 0.9.7-16 (2016-06-20 17:43), 0.9.7-17 (2016-06-21 23:17), 0.9.8.3 (2016-10-16 09:44), 0.9.8.5 (2016-10-31 23:44), 0.9.8 (2016-07-28 23:03), 0.9.9-3 (2017-01-10 10:17), 0.9.9-17 (2017-01-27 18:47), 0.9.9-22 (2017-02-09 00:55), 0.9.9-24 (2017-02-14 00:15), 0.9.9-50 (2017-04-20 11:08), 0.9.9-65 (2017-05-26 09:43), 0.99.9 (2017-09-22 22:24), 0.99.12 (2017-10-06 18:23), 0.99.22 (2017-11-13 11:34), 0.99 (2017-08-16 00:50), 1.0.0 (2018-01-28 19:08), 1.1.0 (2018-03-05 20:27), 1.1.1 (2018-03-07 11:03), 1.2.0 (2018-04-15 21:13), 1.3.0 (2018-06-05 19:38), 1.3.4 (2018-07-15 14:50), 1.3.13 (2018-11-01 20:00), 1.3.14 (2018-11-19 20:50), 1.4.0 (2019-01-30 16:30), 1.4.1 (2019-02-26 22:20), 1.4.3 (2019-04-01 21:00), 1.5.0 (2019-07-04 15:30), 1.5.1 (2019-07-30 11:30), 1.5.2 (2019-11-26 07:40), 2.0.0 (2020-02-26 16:50), 2.0.1 (2020-03-18 16:40), 2.1.0 (2020-07-05 06:50), 2.1.1 (2020-07-27 07:10), 2.1.2 (2020-09-23 06:10), 3.0.0 (2021-04-06 09:30), 3.1.0 (2021-08-17 18:10), 3.2.0 (2021-11-30 15:40), 3.2.1 (2022-03-01 11:20), 3.2.2 (2022-08-09 10:40), 3.2.3 (2022-08-29 08:50), 3.2.4 (2022-12-08 14:00), 3.3.0 (2023-04-07 19:50), 3.3.1 (2023-05-18 11:50), 4.0.0 (2024-04-04 18:30), 4.0.1 (2024-04-08 21:10), 4.0.2 (2024-04-24 17:50), 4.1.0 (2024-09-04 15:30), 4.2.0 (2025-01-08 12:20), 4.3.0 (2025-05-20 13:50), 4.3.1 (2025-07-10 14:50), 4.4 (2026-04-06 21:00)
Other packages that cited quanteda R package
View quanteda citation profile
Other R packages that quanteda depends,
imports, suggests or enhances
Complete documentation for quanteda
Functions, R codes and Examples using
the quanteda R package
Some associated functions: as.character.corpus . as.data.frame.dfm . as.dfm . as.dictionary . as.fcm . as.matrix.dfm . as.tokens . as.yaml . attributes-set . bootstrap_dfm . cbind.dfm . char_select . char_tolower . check_class . check_dots . check_integer . convert-wrappers . convert . corpus-class . corpus . corpus_group . corpus_reshape . corpus_sample . corpus_segment . corpus_subset . corpus_trim . data-internal . data-relocated . data_char_sampletext . data_char_ukimmig2010 . data_corpus_inaugural . data_dfm_lbgexample . data_dictionary_LSD2015 . dfm-class . dfm-internal . dfm . dfm2lsa . dfm_compress . dfm_group . dfm_lookup . dfm_match . dfm_replace . dfm_sample . dfm_select . dfm_sort . dfm_subset . dfm_tfidf . dfm_tolower . dfm_trim . dfm_weight . dictionary-class . dictionary . docfreq . docnames . docvars . escape_regex . expand . fcm-class . fcm . fcm_sort . featfreq . featnames . field_system . flatten_dictionary . flatten_list . format_sparsity . get_docvars . get_object_version . groups . head.dfm . index . is.collocations . is_glob . is_indexed . is_regex . kwic . list2dictionary . lowercase_dictionary_values . make_docvars . make_meta . matrix2dfm . matrix2fcm . merge_dictionary_values . message_error . meta . meta_system . msg . names-quanteda . ndoc . nest_dictionary . nsentence . ntoken . object-builders . object2id . pattern . pattern2id . phrase . pipe . print-methods . print.phrases . quanteda-package . quanteda_options . read_dict_functions . readtext-methods . reexports . remove_empty_keys . replace_dictionary_values . resample . reshape_docvars . search_glob . search_index . serialize_tokens . set_dfm_dimnames . spacyr-methods . sparsity . split_values . summary.corpus . summary_metadata . textmodels . textplots . texts . textstats . tokenize_custom . tokenize_internal . tokens-class . tokens . tokens_chunk . tokens_compound . tokens_group . tokens_lookup . tokens_ngrams . tokens_recompile . tokens_replace . tokens_restore . tokens_sample . tokens_segment . tokens_select . tokens_split . tokens_subset . tokens_tolower . tokens_wordstem . topfeatures . types . unlist_character . unlist_integer . valuetype .
Some associated R codes: RcppExports.R . aaa.R . bootstrap_dfm.R . casechange-functions.R . char_select.R . convert.R . corpus-addsummary-metadata.R . corpus-methods.R . corpus.R . corpus_group.R . corpus_reshape.R . corpus_sample.R . corpus_segment.R . corpus_subset.R . corpus_trim.R . data-documentation.R . dfm-classes.R . dfm-methods.R . dfm-print.R . dfm-subsetting.R . dfm.R . dfm_compress.R . dfm_group.R . dfm_lookup.R . dfm_match.R . dfm_replace.R . dfm_sample.R . dfm_select.R . dfm_sort.R . dfm_subset.R . dfm_trim.R . dfm_weight.R . dictionaries.R . dimnames.R . docnames.R . docvars.R . fcm-classes.R . fcm-methods.R . fcm-print.R . fcm-subsetting.R . fcm.R . fcm_select.R . index.R . kwic.R . message.R . meta.R . nfunctions.R . object-builder.R . object2fixed.R . pattern2fixed.R . phrases.R . quanteda-documentation.R . quanteda_options.R . readtext-methods.R . spacyr-methods.R . stopwords.R . summary.R . textmodel.R . textplot.R . texts.R . textstat.R . tokenizers.R . tokens-methods.R . tokens.R . tokens_chunk.R . tokens_compound.R . tokens_group.R . tokens_lookup.R . tokens_ngrams.R . tokens_replace.R . tokens_restore.R . tokens_sample.R . tokens_segment.R . tokens_select.R . tokens_split.R . tokens_subset.R . utils.R . validator.R . wordstem.R . zzz.R . Full quanteda package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
cdlTools
Tools to Download and Work with USDA Cropscape Data
Downloads USDA National Agricultural Statistics Service (NASS)
cropscape data for a specified state ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jonathan Lisic (view profile)
quickcode
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
genie
Fast, Robust, and Outlier Resistant Hierarchical Clustering
Includes the reference implementation of Genie - a hierarchical
clustering algorithm that links two ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Marek Gagolewski (view profile)
correlation
Methods for Correlation Analysis
Lightweight package for computing different kinds
of correlations, such as partial correlations, Ba ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Brenton M. Wiernik (view profile)
28,905
R Packages
247,686
Dependencies
76,495
Author Associations
28,906
Publication Badges
