지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.3
- 수록면
- 356 - 359 (4page)
- DOI
- 10.6109/jkiice.2024.28.3.356
이용수
초록· 키워드
오류제보하기
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.
목차
ABSTRACT
Ⅰ. 서론
Ⅱ. 연구 방법
Ⅲ. 연구 결과
Ⅳ. 연도별 마약 관련 기사 동향 분석
Ⅴ. 결론
REFERENCES
참고문헌 (7)
참고문헌 신청
Supreme Prosecutors' Office Republic of Korea. Monthly Trends in Narcotics for September 2023 [Internet] Available: https://www.spo.go.kr/site/spo/ex/board/View.do.
M. S. Kim, “Analysis of Issues Related to Adolescents and Drugs after the COVID-19 Outbreak Using Topic Modeling,” The Korea Contents Society, vol. 23, no. 7, pp. 457-464, Jul. 2023. DOI: 10.5392/JKCA.2023.23.07.452.
J. W. Lee and S. K. Roh, “Time Series Analysis of the Correlation Between the Number of Drug Crime Arrests and Media Coverage for Enhancing Police Response to Drug Crimes,” The Korean Operations Research and Management Science Society, vol. 2023, no. 5, pp. 17-21, May. 2023. DOI: 10.22678/JIC.2023.21.6.013.
H. J. Jin, C. I. Jung, G. H. Baek, C. Y. Cha, J. H. Choi, and M. Y. Cha, “Understanding the Categories and Characteristics of Depressive Moods in Chatbot Data,” KIPS Transactions on Software and Data Engineering, vol. 11, no. 9, pp. 383, Sep. 2022. DOI: 10.3745/KTSDE.2022.11.9.381.
D. H. Choi, B. M. Song, D. H. Park, and S. W. Lee, “Keyword Trends Analysis Related to the Aviation Industry During the COVID-19 Period Using Text Mining,” Journal of the Korea Industrial Information Systems Research, vol. 27, no. 2, pp. 120, Mar. 2022. DOI: 10.9723/JKSIIS.2022.27.2.115.
M. S. Kim, “Analysis of Issues Related to Adolescents and Drugs after the COVID-19 Outbreak Using Topic Modeling,” The Korea Contents Society, vol. 23, no. 7, pp. 457-464, Jul. 2023. DOI: 10.5392/JKCA.2023.23.07.452.
J. W. Lee and S. K. Roh, “Time Series Analysis of the Correlation Between the Number of Drug Crime Arrests and Media Coverage for Enhancing Police Response to Drug Crimes,” The Korean Operations Research and Management Science Society, vol. 2023, no. 5, pp. 17-21, May. 2023. DOI: 10.22678/JIC.2023.21.6.013.
H. J. Jin, C. I. Jung, G. H. Baek, C. Y. Cha, J. H. Choi, and M. Y. Cha, “Understanding the Categories and Characteristics of Depressive Moods in Chatbot Data,” KIPS Transactions on Software and Data Engineering, vol. 11, no. 9, pp. 383, Sep. 2022. DOI: 10.3745/KTSDE.2022.11.9.381.
D. H. Choi, B. M. Song, D. H. Park, and S. W. Lee, “Keyword Trends Analysis Related to the Aviation Industry During the COVID-19 Period Using Text Mining,” Journal of the Korea Industrial Information Systems Research, vol. 27, no. 2, pp. 120, Mar. 2022. DOI: 10.9723/JKSIIS.2022.27.2.115.
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