文献
J-GLOBAL ID:202102233978161924
整理番号:21A0162786
COVID-19に対する治療としてのヒドロキシクロロキンの有効性に関するTwitter上の分極会話に関するスタンスデータセット【JST・京大機械翻訳】
A stance data set on polarized conversations on Twitter about the efficacy of hydroxychloroquine as a treatment for COVID-19
著者 (9件):
Mutlu Ece C.
(Department of Industrial Engineering, University of Central Florida, United States)
,
Oghaz Toktam
(Department of Computer Science, University of Central Florida, United States)
,
Jasser Jasser
(Department of Computer Science, University of Central Florida, United States)
,
Tutunculer Ege
(Department of Industrial Engineering, University of Central Florida, United States)
,
Rajabi Amirarsalan
(Department of Computer Science, University of Central Florida, United States)
,
Tayebi Aida
(Department of Industrial Engineering, University of Central Florida, United States)
,
Ozmen Ozlem
(Department of Industrial Engineering, University of Central Florida, United States)
,
Garibay Ivan
(Department of Industrial Engineering, University of Central Florida, United States)
,
Garibay Ivan
(Department of Computer Science, University of Central Florida, United States)
資料名:
Data in Brief
(Data in Brief)
巻:
33
ページ:
Null
発行年:
2020年
JST資料番号:
W3049A
ISSN:
2352-3409
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)