マサムネ　ケン   Masamune Ken   正宗　賢    所属   医学研究科 医学研究科 (医学部医学科をご参照ください)    職種   教授
言語種別	英語
種別	部分執筆
表題	Text Mining Method for Building New Business Strategies
書名	Paradigm Shift in Technologies and Innovation Systems
ISBNコード	978-981-32-9349-6
編者名	Cantwell, John, Hayashi, Takabumi
版・巻・頁	pp.197-238
総ページ数	314
出版社	Springer, Singapore
出版地 （都市, 国名）	Singapore
著者・共著者	KOMODA Fumio, MURAGAKI Yoshihiro, MASAMUNE Ken
発行年月	2019/12/28
概要	In any time, it has been essential to acquire knowledge of customer needs and global trends of technological progress for proper selection and concentration strategy planning, which is decisive for long-term growth of the company. However, with the change in innovation paradigm, the methods used for its acquisition have also changed. With the era of big data, text mining that gains knowledge necessary for this planning from unstructured natural language with weak affinity with relational databases has attracted attention recently. However, in order to obtain highly accurate and reliable knowledge that can contribute to company decision-making, the current natural language processing algorithm is not sufficient. Current text mining method, which is limited to bird’s eye viewing type aimed at capturing the entire text data roughly, is unsuitable for finding out important knowledge written only in a very small part of the text data. Therefore, this paper presents the virtual case of a company planning a new neurosurgical robot project and applies pinpoint focus type text mining technique to acquiring technological knowledge from high-impact peer-reviewed academic journals.