keyword_table

Display the result of network-based keyword clustering, with frequency information attached.

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.

Tian-Yuan Huang

Automatic Knowledge Classification

keyword_table function

<dl><dt>tibble_graph</dt>
<dd>A <code>tbl_graph</code> output by <code>keyword_group</code>.</dd>
<dt>top</dt>
<dd>How many keywords should be displayed in the table for each group.
Default uses 10.If there is a tie,more than top keywords would be selected.
To show all the keywords, use Inf.</dd></dl>

Arguments

Display the table with different groups of keywords — keyword_table

<dl>

<dt>tibble_graph</dt>
<dd>A <code>tbl_graph</code> output by <code>keyword_group</code>.</dd>


<dt>top</dt>
<dd>How many keywords should be displayed in the table for each group.
Default uses 10.If there is a tie,more than top keywords would be selected.
To show all the keywords, use Inf.</dd>

</dl>

keyword_table: Display the table with different groups of keywords

Description

Usage

Value

Arguments

See Also

Examples