topics: Creating and Significance Testing Language Features for Visualisation

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: 0.21.0
Depends: R (≥ 4.00)
Imports: textmineR, ggplot2, dplyr, mallet, rJava, ggwordcloud, effsize, purrr, tibble, methods, readr, stopwords, Matrix, ngram, stringr, rlang, tidyr
Suggests: text, knitr, rmarkdown, testthat, covr
Published: 2024-11-23
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

Documentation:

Reference manual: topics.pdf
Vignettes: Extended Installation Guide (source, R code)

Downloads:

Package source: topics_0.21.0.tar.gz
Windows binaries: r-devel: topics_0.20.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): topics_0.20.0.tgz, r-oldrel (arm64): topics_0.20.0.tgz, r-release (x86_64): topics_0.20.0.tgz, r-oldrel (x86_64): topics_0.20.0.tgz
Old sources: topics archive

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