Presentation 2013-09-13
Discovery of knowledge about the recognition structure of corporate issues and actual behavior in the electronics industry : combination of theory of structuring knowledge and text mining
Hirofumi OMORI,
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Abstract(in English) In this article, the author proposed a methodology and its effectiveness to discover new knowledge by combining theory of structuring knowledge and text mining. Through a case study of the electronics industry, some factors that affect the company's performance were revealed. First, features of recognition structure of corporate issues have been clarified by time series analysis of recognition structure of corporate issues and top issues. Second, the impact of management philosophy that has affected the recognition of corporate issues was revealed. Third, author verified the corporate issue was not to be fully solved by poorly performing companies.
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Keyword(in English) theory of structuring knowledge / text mining / process model of knowledge discovery / time series analysis
Paper # NLC2013-30
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Committee NLC
Conference Date 2013/9/5(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Discovery of knowledge about the recognition structure of corporate issues and actual behavior in the electronics industry : combination of theory of structuring knowledge and text mining
Sub Title (in English)
Keyword(1) theory of structuring knowledge
Keyword(2) text mining
Keyword(3) process model of knowledge discovery
Keyword(4) time series analysis
1st Author's Name Hirofumi OMORI
1st Author's Affiliation Nomura Research Institute, Ltd.()
Date 2013-09-13
Paper # NLC2013-30
Volume (vol) vol.113
Number (no) 213
Page pp.pp.-
#Pages 6
Date of Issue