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J. KIMS Technol > Volume 21(1); 2018 > Article
Journal of the Korea Institute of Military Science and Technology 2018;21(1):86-93.
DOI: https://doi.org/10.9766/KIMST.2018.21.1.086   
A Study on Automatic Analysis System of National Defense Articles
Hyunjung Kim, Wooju Kim
Department of Industrial Engineering, Yonsei University
국방 기사 자동 분석 시스템 구축 방안 연구
김현중, 김우주
연세대학교 산업공학과
Since media articles, which have a great influence on public opinion, are transmitted to the public through various media, it is very difficult to analyze them manually. There are many discussions on methods that can collect, process, and analyze documents in the academia, but this is mostly done in the areas related to politics and stocks, and national-defense articles are poorly researched. In this study, we will explain how to build an automatic analysis system of national defense articles that can collect information on defense articles automatically, and can process information quickly by using topic modeling with LDA, emotional analysis, and extraction-based text summarization.
Key Words: Latent Dirichlet Allocation, Text Mining, Text Summarization, Sentimental Analysis


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