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akc: Automatic Knowledge Classification

A tidy framework for automatic knowledge classification and visualization. Currently, the core functionality of the framework is mainly supported by modularity-based clustering (community detection) in keyword co-occurrence network, and focuses on co-word analysis of bibliometric research. However, the designed functions in 'akc' are general, and could be extended to solve other tasks in text mining as well.

Version:0.9.9.2
Depends:R (≥ 4.0.0)
Imports:igraph,dplyr,ggplot2,stringr,ggraph (≥ 1.0.2),tidygraph (≥ 1.1.2),ggforce,textstem,tibble,tidytext,rlang,magrittr,data.table (≥ 1.13.0),ggwordcloud (≥ 0.5.0),tidyfst
Suggests:testthat (≥ 3.0.0),knitr,rmarkdown
Published:2025-12-16
DOI:10.32614/CRAN.package.akc
Author:Tian-Yuan HuangORCID iD [aut, cre]
Maintainer:Tian-Yuan Huang <huang.tian-yuan at qq.com>
License:MIT + fileLICENSE
URL:https://github.com/hope-data-science/akc
NeedsCompilation:no
Citation:akc citation info
CRAN checks:akc results

Documentation:

Reference manual:akc.html ,akc.pdf
Vignettes:Benchmarking (source,R code)
akc_vignette (source,R code)
tutorial_raw_text (source,R code)

Downloads:

Package source: akc_0.9.9.2.tar.gz
Windows binaries: r-devel:akc_0.9.9.1.zip, r-release:akc_0.9.9.1.zip, r-oldrel:akc_0.9.9.1.zip
macOS binaries: r-release (arm64):akc_0.9.9.2.tgz, r-oldrel (arm64):akc_0.9.9.2.tgz, r-release (x86_64):akc_0.9.9.2.tgz, r-oldrel (x86_64):akc_0.9.9.2.tgz
Old sources: akc archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=akcto link to this page.


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