@inproceedings{9177c5968ec94813a1fcd31f91b49f81,
title = "Analysis of the yearbook from the Korea Meteorological Administration using a text-mining algorithm",
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.",
keywords = "Text-mining, The Korea Meteorological Administration, Unstructured format, Word cloud",
author = "Lee, {Yung Seop} and Changwon Lim and Hyunseok Sun",
note = "Publisher Copyright: {\textcopyright} 2017 Institute of Control, Robotics and Systems - ICROS.; 17th International Conference on Control, Automation and Systems, ICCAS 2017 ; Conference date: 18-10-2017 Through 21-10-2017",
year = "2017",
month = dec,
day = "13",
doi = "10.23919/ICCAS.2017.8204284",
language = "English",
series = "International Conference on Control, Automation and Systems",
publisher = "IEEE Computer Society",
pages = "2012--2014",
booktitle = "ICCAS 2017 - 2017 17th International Conference on Control, Automation and Systems - Proceedings",
address = "United States",
}