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quanteda

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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", "4.1.0")

Attach the package and use:

 library("quanteda")

Maintained by
Kenneth Benoit
[Scholar Profile | Author Map]

All associated links for this package

First Published: 2015-04-07

Latest Update: 2023-05-18

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 4.1.0, https://cran.r-project.org/web/packages/quanteda. Accessed 21 Nov. 2024.

Previous versions and publish date:

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)

Other packages that cited quanteda R package

View quanteda citation profile

Other R packages that quanteda depends, imports, suggests or enhances

View quanteda dependency map

Complete documentation for quanteda

View documentation PDF

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

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