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corpustools
View on CRAN: Click
here
Download and install corpustools package within the R console
Install from CRAN:
install.packages("corpustools")
Install from Github:
library("remotes")
install_github("cran/corpustools") Install by package version:
library("remotes")
install_version("corpustools", "0.5.2") Attach the package and use:
library("corpustools")
Maintained by
Kasper Welbers
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-10-03
Latest Update: 2025-07-07
Description:
Provides text analysis in R, focusing on the use of a tokenized text format. In this format, the positions of tokens are maintained, and each token can be annotated (e.g., part-of-speech tags, dependency relations).
Prominent features include advanced Lucene-like querying for specific tokens or contexts (e.g., documents, sentences),
similarity statistics for words and documents, exporting to DTM for compatibility with many text analysis packages,
and the possibility to reconstruct original text from tokens to facilitate interpretation.
How to cite:
Kasper Welbers (2017). corpustools: Managing, Querying and Analyzing Tokenized Text. R package version 0.5.2, https://cran.r-project.org/web/packages/corpustools. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:28), 0.3.1 (2017-12-13 10:27), 0.3.3 (2018-04-20 13:46), 0.3 (2017-10-03 15:55), 0.4.1 (2019-11-20 00:10), 0.4.2 (2020-01-23 14:00), 0.4.4 (2021-01-07 12:00), 0.4.5 (2021-01-13 11:50), 0.4.6 (2021-02-03 09:50), 0.4.7 (2021-02-28 18:50), 0.4.8 (2021-06-25 09:30), 0.4.9 (2022-01-23 20:32), 0.4.10 (2022-05-11 12:00), 0.5.1 (2023-05-08 11:50)
Other packages that cited corpustools R package
View corpustools citation profile
Other R packages that corpustools depends,
imports, suggests or enhances
Complete documentation for corpustools
Functions, R codes and Examples using
the corpustools R package
Some associated functions: add_multitoken_label . agg_label . agg_tcorpus . aggregate_rsyntax . as.tcorpus.default . as.tcorpus . as.tcorpus.tCorpus . backbone_filter . browse_hits . browse_texts . calc_chi2 . compare_corpus . compare_documents . compare_subset . corenlp_tokens . count_tcorpus . create_tcorpus . docfreq_filter . dtm_compare . dtm_wordcloud . ego_semnet . export_span_annotations . feature_associations . feature_stats . fold_rsyntax . freq_filter . get_dtm . get_global_i . get_kwic . get_stopwords . laplace . melt_quanteda_dict . merge_tcorpora . plot.contextHits . plot.featureAssociations . plot.featureHits . plot.vocabularyComparison . plot_semnet . plot_words . preprocess_tokens . print.contextHits . print.featureHits . print.tCorpus . refresh_tcorpus . require_package . search_contexts . search_dictionary . search_features . semnet . semnet_window . set_network_attributes . sgt . show_udpipe_models . sotu_texts . stopwords_list . subset.tCorpus . subset_query . summary.contextHits . summary.featureHits . summary.tCorpus . tCorpus-cash-annotate_rsyntax . tCorpus-cash-code_dictionary . tCorpus-cash-code_features . tCorpus-cash-context . tCorpus-cash-deduplicate . tCorpus-cash-delete_columns . tCorpus-cash-feats_to_columns . tCorpus-cash-feature_subset . tCorpus-cash-fold_rsyntax . tCorpus-cash-get . tCorpus-cash-lda_fit . tCorpus-cash-merge . tCorpus-cash-preprocess . tCorpus-cash-replace_dictionary . tCorpus-cash-search_recode . tCorpus-cash-set . tCorpus-cash-set_levels . tCorpus-cash-set_name . tCorpus-cash-subset . tCorpus-cash-subset_query . tCorpus-cash-udpipe_clauses . tCorpus-cash-udpipe_quotes . tCorpus . tCorpus_compare . tCorpus_create . tCorpus_data . tCorpus_docsim . tCorpus_features . tCorpus_modify_by_reference . tCorpus_querying . tCorpus_semnet . tCorpus_topmod . tc_plot_tree . tc_sotu_udpipe . tokenWindowOccurence . tokens_to_tcorpus . top_features . transform_rsyntax . udpipe_clause_tqueries . udpipe_quote_tqueries . udpipe_simplify . udpipe_spanquote_tqueries . udpipe_tcorpus . untokenize .
Some associated R codes: RcppExports.R . Full corpustools package functions and examples
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