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Analysis of the Yearbook from the Korea Meteorological Administration using a Text-Mining Algorithm
- Authors
- Lee, Yung-Seop; Lim, Changwon; Sun, Hyunseok
- Issue Date
- 13-Dec-2017
- Publisher
- IEEE
- Keywords
- Text-mining; Unstructured format; The Korea Meteorological Administration; Word cloud
- Citation
- 2017 17TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), v.2017-October, pp 2012 - 2014
- Pages
- 3
- Indexed
- SCOPUS
- Journal Title
- 2017 17TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS)
- Volume
- 2017-October
- Start Page
- 2012
- End Page
- 2014
- ISSN
- 2093-7121
- Abstract
- 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.
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Related Researcher
- Lee, Yung Seop
- College of Natural Science (Department of Statistics)