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LDA 알고리즘을 활용한 기술사업화 연구 토픽 모델링 분석
Technology Commercialization Research Topic Modeling Analysis Using LDA Algorithm
송건호 ( Song Geon Ho ) , 김영곤 ( Kim Young Gon )
DOI 10.35373/KMES.28.1.7
UCI I410-ECN-0102-2023-000-001076664

Purpose The purpose of this study is to analyze trends in technology commercialization research at the academic level based on data to derive major topics related to technology commercialization, and to analyze changes in research by era and their characteristics and meanings. Methods A topic modeling analysis method using LDA was used for 702 papers related to technology commercialization in the academic journal registered with KCI. Results Seven topic groups and major keywords were derived, and trend changes by year were analyzed. Conclusion Although there were no cases of analyzing technology commercialization research trends through topic modeling analysis, it is signifcant in that it systematically analyzed domestic technology commercialization research to interpret the meaning of the research and present the macroscopic direction of technology commercialization.

1. 서론
2. 선행연구
3. 연구방법
4. 연구결과
5. 결론
참고문헌
[자료제공 : 네이버학술정보]
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