디지털융복합연구 (Journal of Digital Convergence)

  • 제18권1호
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  • Pages.137-146
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  • 2020
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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국내외 특허데이터 분석을 통한 자연어처리의 의미분석 관련 기술동향 분석에 대한 연구

A Study On Technical Trend Analysis Related to Semantic Analysis of NLP Through Domestic/Foreign Patent Data

  • Hyun, Young-Geun (Division of Industrial Engineering, Ajou University) ;
  • Han, Jeong-Hyeon (Department of Industrial Engineering, Ajou University) ;
  • Chae, Uri (Department of Industrial Engineering, Ajou University) ;
  • Lee, Gi-Hyun (Department of Industrial Engineering, Ajou University) ;
  • Lee, Joo-Yeoun (Division of Industrial Engineering, Ajou University)
  • 투고 : 2019.10.11
  • 심사 : 2020.01.20
  • 발행 : 2020.01.28
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⟨ 이전 논문 다음 논문 ⟩

초록

자연어처리 기술은 사람이 말하는 언어를 기계적으로 분석해 컴퓨터가 이해할 수 있는 형태로 만드는 것을 의미한다. 이것이 중요한 이유는 인공지능의 기본인 인간과 디바이스 간 커뮤니케이션을 위한 핵심기술이기 때문이다. 본 논문에서는 자연어처리, 특히 의미분석과 관련된 기술동향을 확인하기 위해 미국과 한국의 특허정보에 대해 분석하였으며, 본 연구를 통해 향후 자연어처리 관련 연구에 의미있는 정보제공을 그 목적으로 한다. 결론적으로, 국내 특허 수는 미국 대비 7.9% 수준이며, 주요 Keyword의 상이한 빈도는 기술적 방향성에 국가별로 차이가 있음을 확인하였다. 또한 상향 또는 하향 성향의 Keyword가 한국 대비 미국이 2배로 나타나 시대적 흐름을 상대적으로 더 반영한 것으로 분석되었다. 향후 연구에서는 실질적인 기술예측을 위해 상향 성향의 Keyword가 특허에서 어떻게 기술되고 있는지 구체적으로 분석하고자 한다.

NLP means the technology that mechanically analyzes a language spoken by a human and makes it into a form that can be understood by a computer. This is important because it is a core technology for communication between humans and devices, which is the basis of artificial intelligence. In this paper, I analyzed patent information of US and Korea in order to identify technical trends related to NLP, especially semantic analysis. and the purpose of this study is to provide meaningful information for future research on NLP. In conclusion, the number of Korea patents is 7.9% compared to the USA and the different frequencies of the major keywords were found to differ from country to country in technical direction. In addition, the upward or downward keywords are twice as many in the U.S. as in Korea, and reflect the trend of the times relatively more. Based on these results, in future study, I will analysis how upward trending keywords are described in actual patents for concrete technology prediction.

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