Package: akc
Title: Automatic Knowledge Classification
Version: 0.9.5
Authors@R: 
    person(given = "Tian-Yuan",
           family = "Huang",
           role = c("aut", "cre"),
           email = "huang.tian-yuan@qq.com",
           comment = c(ORCID = "0000-0002-3591-4203"))
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 (>= 3.0.0)
Imports: igraph, dplyr, ggplot2, stringr, ggraph (>= 1.0.2), tidygraph
        (>= 1.1.2), ggforce, textstem, tibble, tidytext, widyr, rlang,
        magrittr, data.table (>= 1.13.0), ggwordcloud (>= 0.5.0)
URL: https://github.com/hope-data-science/akc
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-12-05 07:42:11 UTC; Hope
Author: Tian-Yuan Huang [aut, cre] (<https://orcid.org/0000-0002-3591-4203>)
Maintainer: Tian-Yuan Huang <huang.tian-yuan@qq.com>
Repository: CRAN
Date/Publication: 2020-12-05 08:00:02 UTC
