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Monitoring emerging technologies for technology planning using technical keyword based analysis from patent data

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  • Joung, Junegak
  • Kim, Kwangsoo

Abstract

This paper proposes technical keyword-based analysis of patents to monitor emerging technologies, and uses a keyword-based model in contents-based patent analysis. This study also presents methods to automatically select keywords and to identify the relatedness among them. After using text-mining tools and techniques to identify technical keywords, a technical keyword-context matrix is constructed. The relatedness between pairs of keywords is then identified in a transformation of this matrix. Patent documents are clustered by using a hierarchical clustering algorithm based on patent document vectors. As a result, emerging technologies can be monitored by identifying clusters composed of technical keywords. A case study of mechanisms of electron transfer in electrochemical glucose biosensors is given to demonstrate how the proposed method can monitor emerging technologies.

Suggested Citation

  • Joung, Junegak & Kim, Kwangsoo, 2017. "Monitoring emerging technologies for technology planning using technical keyword based analysis from patent data," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 281-292.
    • Handle: RePEc:eee:tefoso:v:114:y:2017:i:c:p:281-292
    DOI: 10.1016/j.techfore.2016.08.020
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    References listed on IDEAS

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