Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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Analysis of Structured and Unstructured Data and Construction of Criminal Profiling System using LSA

LSA를 이용한 정형·비정형데이터 분석과 범죄 프로파일링 시스템 구현

  • Kim, Yonghoon (Dept. of Computer Engineering Pukyong National University) ;
  • Chung, Mokdong (Dept. of Computer Engineering Pukyong National University)
  • Received : 2016.10.10
  • Accepted : 2016.12.06
  • Published : 2017.01.30
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Abstract

Due to the recent rapid changes in society and wide spread of information devices, diverse digital information is utilized in a variety of economic and social analysis. Information related to the crime statistics by type of crime has been used as a major factor in crime. However, statistical analysis using only the structured data has the difficulty in the investigation by providing limited information to investigators and users. In this paper, structured data and unstructured data are analyzed by applying Korean Natural Language Processing (Ko-NLP) and the Latent Semantic Analysis (LSA) technique. It will provide a crime profile optimum system that can be applied to the crime profiling system or statistical analysis.

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References

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