文献
J-GLOBAL ID:202102291026304384
整理番号:21A0441517
アスペクトベースの感情分析:深層学習法の調査【JST・京大機械翻訳】
Aspect-Based Sentiment Analysis: A Survey of Deep Learning Methods
著者 (5件):
Liu Haoyue
(Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA)
,
Chatterjee Ishani
(Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA)
,
Zhou MengChu
(Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA)
,
Lu Xiaoyu Sean
(Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA)
,
Abusorrah Abdullah
(Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah, Saudi Arabia)
資料名:
IEEE Transactions on Computational Social Systems
(IEEE Transactions on Computational Social Systems)
巻:
7
号:
6
ページ:
1358-1375
発行年:
2020年
JST資料番号:
W2444A
ISSN:
2329-924X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)