文献
J-GLOBAL ID:201702286547359318
整理番号:17A1628755
全国ウイルス感染発生への理解公共反応のためのメディア出口の大規模機械学習【Powered by NICT】
Large-scale machine learning of media outlets for understanding public reactions to nation-wide viral infection outbreaks
著者 (8件):
Choi Sungwoon
(Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea)
,
Choi Sungwoon
(IT Convergence, Korea University, Seoul 02841, Republic of Korea)
,
Lee Jangho
(Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea)
,
Kang Min-Gyu
(Internal Medicine, Chungbuk National University Hospital, Cheongju 28644, Republic of Korea)
,
Min Hyeyoung
(RNA Biopharmacy Laboratory, College of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea)
,
Chang Yoon-Seok
(Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Gyeonggi-do 13620, Republic of Korea)
,
Yoon Sungroh
(Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea)
,
Yoon Sungroh
(Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA)
資料名:
Methods
(Methods)
巻:
129
ページ:
50-59
発行年:
2017年
JST資料番号:
W0241A
ISSN:
1046-2023
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)