Automatic Knowledge Classification
akc: Automatic Knowledge Classification
Construct network of documents based on keyword co-occurrence
Automatic keyword cleaning and transfer to tidy format
Draw word cloud for grouped keywords
Extract keywords from raw text
Construct network from a tidy table and divide them into groups
Merge keywords that supposed to have same meanings
Flexiable visualization of network (alternative to 'keyword_vis')
Display the table with different groups of keywords
Visualization of grouped keyword co-occurrence network
Making one's own dictionary
Objects exported from other packages
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.