Package: akc
Title: Automatic Knowledge Classification
Version: 0.9.9
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: 7.2.1
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2023-01-06 07:41:38 UTC; DELL
Author: Tian-Yuan Huang [aut, cre] (<https://orcid.org/0000-0002-4151-3764>)
Maintainer: Tian-Yuan Huang <huang.tian-yuan@qq.com>
Repository: CRAN
Date/Publication: 2023-01-06 08:00:02 UTC
Built: R 4.2.0; ; 2023-07-11 02:14:59 UTC; unix
