한국의 사회적 이슈 도출을 위한 뉴스 빅데이터 분석 연구

Analysis of News Big Data for Deriving Social Issues in Korea

초록

Analyzing the frequency and correlation of the news keywords in the modern society that are becoming complicated according to the time flow is a very important research to discuss the response and solution to issues. This paper analyzed the relationship between the flow of social keyword and major issues through the analysis of news big data for 10 years (2009~2018). In this study, political issues, education and social culture, gender conflicts and social problems were presented as major issues. And, to study the change and flow of issues, it analyzed the change of the issue by dividing it into five years. Through this, the changes and countermeasures of social issues were studied. As a result, the keywords (economy, police) that are closely related to the people’s life were analyzed as keywords that are very important in our society regardless of the flow of time. In addition, keyword such as ‘safety’ have decreased in increasing rate compared to frequency in recent years. Through this, it can be inferred that it is necessary to improve the awareness of safety in our society.

키워드

소셜이슈빅데이터미래 신호 탐색텍스트 마이닝키워드 이슈 프레임워크Social IssuesBig DataSignal DetectionText MiningKeyword Issue Framework
제목
한국의 사회적 이슈 도출을 위한 뉴스 빅데이터 분석 연구
제목 (타언어)
Analysis of News Big Data for Deriving Social Issues in Korea
저자
이홍주
DOI
10.7838/jsebs.2019.24.3.163
발행일
2019-08
저널명
한국전자거래학회지
24
3
페이지
163 ~ 182