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: 0.9.9.1 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: 2025-02-25 DOI: 10.32614/CRAN.package.akc Author: Tian-Yuan Huang [aut, cre] Maintainer: Tian-Yuan Huang <huang.tian-yuan at qq.com> License: MIT + file LICENSE URL: https://github.com/hope-data-science/akc NeedsCompilation: no Citation: akc citation info CRAN checks: akc results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=akc to link to this page.
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