국제범죄분류를 활용한 범죄유형 분류방법 연구: 언론보도를 이용한 텍스트 마이닝 분석 적용

초록

Accurate classification of crime types is essential for crime research and the formulation of criminal policies, as well as for facilitating international comparative studies. However, the current crime classification system in Korea relies heavily on legal provisions, leading to inconsistencies where the same type of crime may be classified differently and new types of crimes may not be effectively reflected. This study aims to propose a more systematic and standardized crime classification method by utilizing the International Classification of Crime for Statistical Purposes (ICCS) proposed by the UNODC. To achieve this, the study analyzes domestic media reports from 2023 using text mining techniques such as TF-IDF and compares the findings with official crime statistics. The results are expected to enhance the international compatibility of domestic crime data and improve the classification system for emerging crime types, such as femicide and online-based crimes.

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