CRAN/E | akc

akc

Automatic Knowledge Classification

Installation

About

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.

Citation akc citation info
github.com/hope-data-science/akc

Key Metrics

Version 0.9.9
R ≥ 4.0.0
Published 2023-01-06 470 days ago
Needs compilation? no
License MIT
License File
CRAN checks akc results

Downloads

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Last 365 days 5.299 -15%

Maintainer

Maintainer

Tian-Yuan Huang

huang.tian-yuan@qq.com

Authors

Tian-Yuan Huang

aut / cre

Material

Reference manual
Package source

Vignettes

Benchmarking
akc_vignette
tutorial_raw_text

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

akc archive

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