Performance Comparison on Automated Generation of Coding Rules: A Case Study on 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 by using two proposed methods. The results were compared with the manually created coding rules, and the SVM method was proven to be more effective.

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