Package: akc 0.9.9.3

Tian-Yuan Huang

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.

Authors:Tian-Yuan Huang [aut, cre]

akc_0.9.9.3.tar.gz
akc_0.9.9.3.zip(r-4.7)akc_0.9.9.3.zip(r-4.6)akc_0.9.9.3.zip(r-4.5)
akc_0.9.9.3.tgz(r-4.6-any)akc_0.9.9.3.tgz(r-4.5-any)
akc_0.9.9.3.tar.gz(r-4.7-any)akc_0.9.9.3.tar.gz(r-4.6-any)
akc_0.9.9.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
akc/json (API)

# Install 'akc' in R:

install.packages('akc', repos = c('https://hope-data-science.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hope-data-science/akc/issues

Datasets:

bibli_data_table - A selected dataset of bibliometric data on the topic of "Library science"

On CRAN:

5.89 score 16 stars 48 scripts 669 downloads 22 exports 93 dependencies

Last updated from:ab6ecb8ced. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	205
source / vignettes	OK	273
linux-release-x86_64	OK	195
macos-release-arm64	OK	106
macos-oldrel-arm64	OK	122
windows-devel	OK	140
windows-release	OK	182
windows-oldrel	OK	126
wasm-release	OK	134

Exports:%>%doc_group group_biconnected_component group_components group_edge_betweenness group_fast_greedy group_infomap group_label_prop group_leading_eigen group_louvain group_optimal group_spinglass group_walktrap keyword_clean keyword_cloud keyword_extract keyword_group keyword_merge keyword_network keyword_table keyword_vis make_dict

Dependencies:base64enc cachem cli colorspace commonmark cpp11 curl data.table digest dplyr dtt english farver fastmap fastmatch fst fstcore generics ggforce ggplot2 ggraph ggrepel ggwordcloud glue graphlayouts gridExtra gridtext gtable hunspell igraph isoband ISOcodes janeaustenr jpeg jsonlite koRpus koRpus.lang.en labeling lattice lexicon lifecycle litedown magrittr markdown MASS Matrix memoise mgsub NLP pak pillar pkgconfig png polyclip purrr qdapRegex quanteda R6 RColorBrewer Rcpp RcppArmadillo rlang S7 scales slam SnowballC stopwords stringi stringr sylly sylly.en systemfonts syuzhet textclean textshape textstem tibble tidyfst tidygraph tidyr tidyselect tidytext tokenizers tweenr utf8 vctrs viridis viridisLite withr xfun xml2 yaml zoo

Automatic knowledge classification based on keyword co-occurrrence network

Hope (Huang Tian-Yuan)

Rendered fromakc_vignette.Rmdusingknitr::rmarkdownon May 27 2026.

Last update: 2019-12-17
Started: 2019-12-07

Tutorial for knowledge classification from raw text

Huang Tian-Yuan (Hope)

Rendered fromtutorial_raw_text.Rmdusingknitr::rmarkdownon May 27 2026.

Last update: 2020-12-05
Started: 2020-01-30

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
A selected dataset of bibliometric data on the topic of "Library science"	bibli_data_table
Construct network of documents based on keyword co-occurrence	doc_group
Automatic keyword cleaning and transfer to tidy format	keyword_clean
Draw word cloud for grouped keywords	keyword_cloud
Extract keywords from raw text	keyword_extract
Construct network from a tidy table and divide them into groups	keyword_group
Merge keywords that supposed to have same meanings	keyword_merge
Flexiable visualization of network (alternative to 'keyword_vis')	keyword_network
Display the table with different groups of keywords	keyword_table
Visualization of grouped keyword co-occurrence network	keyword_vis
Making one's own dictionary	make_dict
English stop words collected in tidytext package	stop_words