MURAGAKI Yoshihiro    Department   School of Medicine(Tokyo Women's Medical University Hospital), School of Medicine    Position   Visiting Professor
Language	English
Category	Chapter contribution
Title	Text Mining Method for Building New Business Strategies
Book title	Paradigm Shift in Technologies and Innovation Systems
ISBN	978-981-32-9349-6
Editor	Cantwell, John, Hayashi, Takabumi
Edition, Volume, Page	pp.197-238
Total page number	314
Publisher	Springer, Singapore
Publication place (City and country)	Singapore
Author and coauthor	KOMODA Fumio, MURAGAKI Yoshihiro, MASAMUNE Ken
Publication date	2019/12/28
Summary	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.