earticle

논문검색

텍스트 마이닝을 활용한 청소년부모 언론보도 기사 분석

원문정보

Analysis of Media Coverage on Teen Parents Using Text Mining

전민경, 유진이

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

This study aims to analyze keywords related to youth parents in media coverage using big data analysis techniques. The research seeks to identify the main topics of interest concerning youth parents as reported in the press. Specifically, we collected 2,711 news articles from Naver News published between January 2005 and May 2024. The study utilized various big data analysis methods, including keyword frequency analysis, keyword network analysis, and topic modeling. The keyword frequency analysis revealed the most commonly used terms in articles about youth parents. The keyword network analysis provided insights into the relationships and connections between these key terms. Finally, the topic modeling technique helped identify and categorize the main themes and issues discussed in the media regarding youth parents. Based on these analytical results, we present policy implications for developing strategies to support youth parents. This research contributes to the existing literature by providing a comprehensive analysis of media representation of youth parents and offers valuable insights for policymakers, social workers, and other stakeholders involved in supporting this vulnerable group.

목차

Abstract
Ⅰ. 서론
Ⅱ. 이론적배경
1. 청소년부모 개념 및 현황
2. 선행연구 고찰
Ⅲ. 연구방법
1. 자료수집
2. 분석방법
Ⅳ. 연구결과
1. 키워드 분석
2. 토픽 분석
Ⅳ. 결론
참고문헌

저자정보

  • 전민경 Jeon, Minkyung. 평택대학교 일반대학원 아동청소년학과 박사과정
  • 유진이 Yoo, Jeanie. 평택대학교 아동청소년교육상담학과 교수

참고문헌

자료제공 : 네이버학술정보

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