Automated Generation of Coding Rules: Text-Mining Approach to ISO 26000

Tetsuya Nakatoh
Satoru Uchida
Emi Ishita
Toru Oga

When texts are mined for meaningful information, one important aspect is to construct a coding rule that categorizes key terms into several conceptual groups. Usually such a rule is human-made and tends to be subjective. The present study attempts to build coding rules automatically from the ISO 26000 document and compares the results with those obtained by creating the coding rules manually.

PROCEEDINGS 2016 5TH IIAI INTERNATIONAL CONGRESS ON ADVANCED APPLIED INFORMATICS IIAI-AAI 2016

IEEE

10.1109/IIAI-AAI.2016.210

https://dblp.uni-trier.de/rec/conf/iiaiaai/NakatohUIO16
https://doi.org/10.1109/IIAI-AAI.2016.210
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000389501300028&DestApp=WOS_CPL
http://orcid.org/0000-0001-9299-7757

31904276