TY  - JOUR
T1  - A Study on Clustering News Articles in Korean
AU - Jung, Yuchul AU - Kim, Jeong-Soo AU - Oh, Heung-Seon AU - Kim, Kwangyoung AU - Yoon, Jungsun 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 11
SP  - 3492
EP  - 3497
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.3492.3497
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.3492.3497
KW  - comparatively analyzed
KW  -issue
KW  -preprocessing
KW  -clustering
KW  -Korean news
KW  -visualized
AB  - The research on news clustering for Korean news articles based on specific issues or topics is very
few. This study proposed a method of constructing a correct answer data set for monthly issues for 1 year’s
worth of Korean news (approximately 4.58 million articles) and the appropriate preprocessing method and
clustering algorithm for effective clustering of this news were researched. The clustering results were visualized
and the differences among the different methods were comparatively analyzed.
ER  -