Tetsuya Nakatoh, Satoru Uchida, Emi Ishita, T. Oga
{"title":"编码规则的自动生成:ISO 26000文本挖掘方法","authors":"Tetsuya Nakatoh, Satoru Uchida, Emi Ishita, T. Oga","doi":"10.1109/IIAI-AAI.2016.210","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Automated Generation of Coding Rules: Text-Mining Approach to ISO 26000\",\"authors\":\"Tetsuya Nakatoh, Satoru Uchida, Emi Ishita, T. Oga\",\"doi\":\"10.1109/IIAI-AAI.2016.210\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":272739,\"journal\":{\"name\":\"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIAI-AAI.2016.210\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIAI-AAI.2016.210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automated Generation of Coding Rules: Text-Mining Approach to ISO 26000
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.