상세 보기
Analysis of the Yearbook from the Korea Meteorological Administration using a Text-Mining Algorithm
- Lee, Yung-Seop;
- Lim, Changwon;
- Sun, Hyunseok
Citations
WEB OF SCIENCE
0Citations
SCOPUS
0초록
The development of the Internet and computer technology has enabled the storage of digital forms of documents that has resulted in an explosion of the amount of textual data generated. We analyzed the trends in the Meteorological Yearbook of the KMA and analyzed trends of weather related news, weather status, and status of work trends that the KMA focused on. This study is to provide useful information that can help analyze and improve the meteorological services and reflect meteorological policy.
키워드
Text-mining; Unstructured format; The Korea Meteorological Administration; Word cloud
- 제목
- Analysis of the Yearbook from the Korea Meteorological Administration using a Text-Mining Algorithm
- 저자
- Lee, Yung-Seop; Lim, Changwon; Sun, Hyunseok
- 발행일
- 2017-12-13
- 유형
- Proceedings Paper
- 저널명
- 2017 17TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS)
- 권
- 2017-October
- 페이지
- 2012 ~ 2014