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akc
View on CRAN: Click
here
Download and install akc package within the R console
Install from CRAN:
install.packages("akc")
Install from Github:
library("remotes")
install_github("cran/akc")
Install by package version:
library("remotes")
install_version("akc", "0.9.9")
Attach the package and use:
library("akc")
Maintained by
Tian-Yuan Huang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-08
Latest Update: 2023-01-06
Description:
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.
How to cite:
Tian-Yuan Huang (2020). akc: Automatic Knowledge Classification. R package version 0.9.9, https://cran.r-project.org/web/packages/akc. Accessed 21 Nov. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for akc
Functions, R codes and Examples using
the akc R package
Some associated functions: akc-package . bibli_data_table . doc_group . keyword_clean . keyword_cloud . keyword_extract . keyword_group . keyword_merge . keyword_network . keyword_table . keyword_vis . make_dict . reexports .
Some associated R codes: akc-package.R . data.R . doc_group.R . global_export.R . global_variable.R . keyword_clean.R . keyword_cloud.R . keyword_extract.R . keyword_group.R . keyword_merge.R . keyword_network.R . keyword_table.R . keyword_vis.R . make_dict.R . Full akc package functions and examples
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