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.


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Reference manual

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install.packages("akc")

0.9.4 by Tian-Yuan Huang, 10 months ago


https://github.com/hope-data-science/akc


Browse source code at https://github.com/cran/akc


Authors: Tian-Yuan Huang [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports igraph, dplyr, ggplot2, stringr, ggraph, tidygraph, ggforce, textstem, tibble, tidytext, widyr, rlang, magrittr, data.table, ggwordcloud

Suggests knitr, rmarkdown


See at CRAN