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

Junegak Joung and Kwangsoo Kim

Technological Forecasting and Social Change, 2017, vol. 114, issue C, 281-292

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.

Keywords: Patent analysis; Keyword-based model; Technical keyword; Technology planning (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (44)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:114:y:2017:i:c:p:281-292

DOI: 10.1016/j.techfore.2016.08.020

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