A Study on the Research Trends in Fintech using Topic Modeling

토픽 모델링을 이용한 핀테크 기술 동향 분석

  • Kim, TaeKyung (Department of Industrial and Management Engineering, Korea University) ;
  • Choi, HoeRyeon (Department of Industrial and Management Engineering, Korea University) ;
  • Lee, HongChul (Department of Industrial and Management Engineering, Korea University)
  • 김태경 (고려대학교 산업경영공학과) ;
  • 최회련 (고려대학교 산업경영공학과) ;
  • 이홍철 (고려대학교 산업경영공학과)
  • Received : 2016.10.21
  • Accepted : 2016.11.10
  • Published : 2016.11.30


Recently, based on Internet and mobile environments, the Fintech industry that fuses finance and IT together has been rapidly growing and Fintech services armed with simplicity and convenience have been leading the conversion of all financial services into online and mobile services. However, despite the rapid growth of the Fintech industry, few studies have classified Fintech technologies into detailed technologies, analyzed the technology development trends of major market countries, and supported technology planning. In this respect, using Fintech technological data in the form of unstructured data, the present study extracts and defines detailed Fintech technologies through the topic modeling technique. Thereafter, hot and cold topics of the derived detailed Fintech technologies are identified to determine the trend of Fintech technologies. In addition, the trends of technology development in the USA, South Korea, and China, which are major market countries for major Fintech industrial technologies, are analyzed. Finally, through the analyses of networks between detailed Fintech technologies, linkages between the technologies are examined. The trends of Fintech industrial technologies identified in the present study are expected to be effectively utilized for the establishment of policies in the area of the Fintech industry and Fintech related enterprises' establishment of technology strategies.


Big Data;Fintech;Patent analysis;Text mining;Topic modeling


Grant : BK21플러스

Supported by : 고려대학교


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