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topics: Creating and Significance Testing Language Features for Visualisation (original) (raw)

Implements differential language analysis with statistical tests and offers various language visualization techniques for n-grams and topics. It also supports the 'text' package. For more information, visit <https://r-topics.org/> and <https://www.r-text.org/>.

Version: 0.70
Depends: R (≥ 4.00)
Imports: textmineR, quanteda, ggplot2, dplyr, ggwordcloud, tibble, methods, readr, stopwords, Matrix, stringr, stringi, rlang, tidyr, purrr, data.table, ggforce, patchwork, utils
Suggests: text, rJava, mallet, glmnet, knitr, rmarkdown, testthat, covr, vdiffr, httr, arrow
Published: 2026-02-16
DOI: 10.32614/CRAN.package.topics
Author: Leon Ackermann ORCID iD [aut], Zhuojun Gu ORCID iD [aut], Oscar Kjell ORCID iD [aut, cre]
Maintainer: Oscar Kjell <oscar.kjell at psy.lu.se>
BugReports: https://github.com/theharmonylab/topics/issues
License: GPL-3
URL: https://r-topics.org/
NeedsCompilation: no
SystemRequirements: Python (>= 3.6.0)
Citation: topics citation info
Materials: README, NEWS
CRAN checks: topics results

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