Package: akc
Title: Automatic Knowledge Classification
Version: 0.9.9.3
Authors@R: 
    person(given = "Tian-Yuan",
           family = "Huang",
           role = c("aut", "cre"),
           email = "huang.tian-yuan@qq.com",
           comment = c(ORCID = "0000-0002-4151-3764"))
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
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
URL: https://github.com/hope-data-science/akc
RoxygenNote: 7.3.2
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/pak/sysreqs: libfontconfig1-dev libfreetype6-dev libglpk-dev
        libicu-dev libjpeg-dev libpng-dev libxml2-dev libssl-dev
Repository: https://hope-data-science.r-universe.dev
Date/Publication: 2025-12-24 12:31:42 UTC
RemoteUrl: https://github.com/hope-data-science/akc
RemoteRef: HEAD
RemoteSha: ab6ecb8ced7e8ca5d547446fbcd49687894a9a7c
NeedsCompilation: no
Packaged: 2026-05-27 07:50:34 UTC; root
Author: Tian-Yuan Huang [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-4151-3764>)
Maintainer: Tian-Yuan Huang <huang.tian-yuan@qq.com>