Identifying the Technology Opportunities and the Technology Taxonomy for Railway Static Inverters With Patent Data Analytics
Yong-Jae Lee,
Young Jae Han,
Sang-Soo Kim
et al.
Abstract:In this study, we identify and forecast promising railway static inverter technologies and the technology taxonomy using patent data analytics. To this end, we identify technology topics through LDA topic modeling and interpret them through N-gram analysis. We then derive detailed promising technology topics through time series analysis and technology mapping. Finally, we identify leading companies and research institutes in the field of promising technology topics through bibliography and social network analy… Show more
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