Browse > Article
http://dx.doi.org/10.6109/jkiice.2018.22.12.1589

Topic Modeling on the Adolescent Problem Using Text Mining  

Cho, Ju-Yeon (Graduate School of Education, Silla University)
Cho, Kyoung Won (Department of Healthcare Administration, Kosin University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.12, 2018 , pp. 1589-1595 More about this Journal
Abstract
The purpose of this research is to search for and identify trends in adolescent problems on internet news sites. Among the domestic internet news sites, 8,110 articles on adolescent problems from 1993 to 2018 were analyzed for the top three top-ranked 'The Chosunilbo', 'The Dong-A Ilbo', and 'Korea Joongang Daily' news sites. As a result of this study, we have been able to understand the topic of adolescent problems in internet news sites for the last 26 years and find out that the trend of articles has been changed considering the environment, policies and culture related to adolescent problems. This study is meaningful to start from the method to examine the social trends of existing adolescent problems, to expand the scope of adolescent problems and counseling, to use quantitative analysis methods and to provide new information to consider diversity.
Keywords
Adolescent problems; Text mining; Topic modeling; Big data; Internet news article;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 S. C. Shin, etc, Youth Problem and Protection, Seoul: Jungminsa, 2014.
2 J. Y. Kim, Youth Problems. Seoul: Knowledge Community, 2017.
3 J. W. Chun, Youth work practice : positive perspective, Seoul: Shinjeong, 2017.
4 Y. H. Shim, "Changes in Youth Problems in Korea under the IMF Management System : With a Risk Society Perspective," Korean Journal of Youth Studies, vol. 5, no. 3, pp. 115-145, Mar. 1998.
5 J. Kim, and S. Joo, "Analyzing the Change of Discourse about Adolescent Problems Based on the Foucault's Governmentality," Korea Journal of Counseling, vol. 18, no. 2, pp. 223-243, Feb. 2017.   DOI
6 J. Silge, and D. Robinson, Text Mining with R: A Tidy Approach, Sebastopol, CA:O'Reilly Media, Inc., 2017.
7 D. M. Jung, etc, "A Proposal of a Keyword Extraction System for Detecting Social Issues," Journal of Intelligent Information System, vol. 19, no. 3, pp. 1-23, Sept. 2013.
8 J. Y. Lee, and Y. Bak, "Social Network Analysis of author's interest area in Journals about Computer," Journal of the Korea Institute of Information and Communication Engineering, vol. 20, no. 1, pp. 193-199, Jan. 2016.   DOI
9 The Chosunilbo [Internet]. Available: http://www.chosun.com/.
10 Korea Joongang Daily [Internet]. Available: https://joongang.joins.com/.
11 The Dong-A Ilbo [Internet]. Available: http://www.donga.com/.
12 R. Mitchell, Web Scraping with Python: Collecting Data from the Modern Web, 1st edition, Sebastopol, CA:O'Reilly Media, Inc., 2015.