akc: Automatic Knowledge Classification
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 |
| 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: | 2023-01-06 |
| 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:
| Reference manual: | akc.pdf |
| Vignettes: |
Benchmarking akc_vignette tutorial_raw_text |
Downloads:
| Package source: | akc_0.9.9.tar.gz |
| Windows binaries: | r-devel: akc_0.9.9.zip, r-release: akc_0.9.9.zip, r-oldrel: akc_0.9.9.zip |
| macOS binaries: | r-release (arm64): akc_0.9.9.tgz, r-oldrel (arm64): akc_0.9.9.tgz, r-release (x86_64): akc_0.9.9.tgz, r-oldrel (x86_64): akc_0.9.9.tgz |
| Old sources: | akc archive |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=akc to link to this page.