텍스트 마이닝을 통한 건설기계분야 국내 정부 R&D 연구동향 분석

• 영문명: Text-Mining Analysis of Korea Government R&D Trends in Construction Machinery Domains
• 발행기관: 한국산업경영시스템학회
• 저자명: 윤봄 배준수
• 간행물 정보: 『산업경영시스템학회지』제46권 특별호, 1~8쪽, 전체 8쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2023.10.31

영문 초록

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.

목차

1. 서 론

2. 이론적 배경 및 선행연구

3. 데이터 분석방법

4. 연구 결과

5. 결 론

References

키워드

Construction Equipment Government R&D Trend Analysis Text Mining Big Data