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Text Mining Method for Building New Business Strategies

Focusing on the Neurosurgical Robot

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Paradigm Shift in Technologies and Innovation Systems

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Abstract

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.

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Notes

  1. 1.

    A typical example of knowledge obtained in this way is the discovery of specific leukemia therapies using IBM’s Watson Genomic Analytics.

  2. 2.

    https://www.aans.org/en/Publications/The-Journal-of-Neurosurgery.

  3. 3.

    For the importance of a highly flexible manipulator, see Kobayashi et al. (2005).

  4. 4.

    The importance of tactile techniques for promoting minimally invasive procedures is mentioned in Onishi (2009), Kobayashi et al. (2015).

  5. 5.

    http://plaza.umin.ac.jp/~ikourenk/department/project_06/index.html.

  6. 6.

    It has been reported that the cost of endoscopic forceps sets is 10 times higher than that of conventional forceps sets and thatthe cost of surgical robots is 30 times higher than that of conventional forceps sets (Inaki 2008).

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Author information

Authors and Affiliations

  1. Honorary Professor, Saitama University, Saitama, Japan

    Fumio Komoda

  2. Institute of Advanced Bio-Medical Engineering and Science, Tokyo Women’s Medical University, Tokyo, Japan

    Yoshihiro Muragaki & Ken Masamune

Authors
  1. Fumio Komoda
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  2. Yoshihiro Muragaki
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  3. Ken Masamune
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Correspondence to Fumio Komoda .

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Editors and Affiliations

  1. Rutgers University, Newark, NJ, USA

    John Cantwell

  2. Kokushikan University, Tokyo, Japan

    Takabumi Hayashi

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Komoda, F., Muragaki, Y., Masamune, K. (2019). Text Mining Method for Building New Business Strategies. In: Cantwell, J., Hayashi, T. (eds) Paradigm Shift in Technologies and Innovation Systems. Springer, Singapore. https://doi.org/10.1007/978-981-32-9350-2_8

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  • DOI: https://doi.org/10.1007/978-981-32-9350-2_8

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