DESCRIPTION

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