Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
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Text-Mining Analysis of Korea Government R&D Trends in Construction Machinery Domains

텍스트 마이닝을 통한 건설기계분야 국내 정부 R&D 연구동향 분석

  • Bom Yun (Department of Industrial and Information Systems Engineering, Jeonbuk National University) ;
  • Joonsoo Bae (Department of Industrial and Information Systems Engineering, Jeonbuk National University)
  • 윤봄 (전북대학교 산업정보시스템공학과) ;
  • 배준수 (전북대학교 산업정보시스템공학과)
  • Received : 2023.07.14
  • Accepted : 2023.07.25
  • Published : 2023.10.31
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Abstract

To investigate the national science and technology policy direction in the field of construction machinery, an analysis was conducted on projects selected as national research and development (R&D) initiatives by the government. Assuming that the project titles contain key keywords, text mining was employed to substantiate this assumption. Project information data spanning nine years from 2014 to 2022 was collected through the National Science & Technology Information Service (NTIS). To observe changes over time, the years were divided into three-year sections. To analyze research trends efficiently, keywords were categorized into groups: 'equipment,' 'smart,' and 'eco-friendly.' Based on the collected data, keyword frequency analysis, N-gram analysis, and topic modeling were performed. The research findings indicate that domestic government R&D in the construction machinery field primarily focuses on smart-related research and development. Specifically, investments in monitoring systems and autonomous operation technologies are increasing. This study holds significance in analyzing objective research trends through the utilization of big data analysis techniques and is expected to contribute to future research and development planning, strategic formulation, and project management.

Keywords

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