Journal of Korea Society of Industrial Information Systems (한국산업정보학회논문지)

Korea Society of Industrial Information Systems (한국산업정보학회)
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Systemic Analysis of Research Activities and Trends Related to Artificial Intelligence(A.I.) Technology Based on Latent Dirichlet Allocation (LDA) Model

Latent Dirichlet Allocation (LDA) 모델 기반의 인공지능(A.I.) 기술 관련 연구 활동 및 동향 분석

  • Received : 2018.04.28
  • Accepted : 2018.06.13
  • Published : 2018.06.30
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Abstract

Recently, with the technological development of artificial intelligence, related market is expanding rapidly. In the artificial intelligence technology field, which is still in the early stage but still expanding, it is important to reduce uncertainty about research direction and investment field. Therefore, this study examined technology trends using text mining and topic modeling among big data analysis methods and suggested trends of core technology and future growth potential. We hope that the results of this study will provide researchers with an understanding of artificial intelligence technology trends and new implications for future research directions.

최근 인공지능(Artificial Intelligence; A.I.)의 기술 발전과 함께 이에 대한 관심이 증가하고 있으며 관련 시장도 비약적으로 확대되고 있다. 아직은 초기단계이지만 2000년 이후 현재까지 계속 확장되고 있는 인공지능 기술 분야의 연구방향과 투자 분야에 대한 불확실성을 줄이는 것이 중요한 시점이다. 이러한 기술 변화와 시대적 요구에 따라서 본 연구는 빅데이터(Big Data) 분석방법 중 텍스트 마이닝(Text Mining)과 토픽모델링(Topic Modeling)을 활용하여 기술동향을 살펴보고, 핵심기술과 성장 가능성이 있는 연구의 향후 방향성을 제시하였다. 본 연구의 결과로부터 인공지능의 기술동향에 대한 이해를 바탕으로 향후 연구 방향에 대한 새로운 시사점을 도출할 수 있으리라 기대한다.

Keywords

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