토픽 모델링을 이용한 마약 관련 기사의 연도별 동향 분석.

This research aimed to analyze drug-related news articles from 2021 to 2023 using topic modeling techniques to understand the main themes and trends during this period. The article data were collected from the news data analysis system, Big Kinds. The research process included data preprocessing, Latent Dirichlet Allocation (LDA) topic modeling, and interpretation of the results. After conducting topic modeling and visualization, the analysis of the topics revealed that there was not a significant difference in the themes of drug-related articles between 2021 and 2022. However, in 2023, new topics emerged, such as the explosive increase in articles related to drug offenders and the prevention of drug use among adolescents. [ABSTRACT FROM AUTHOR]