文献
J-GLOBAL ID:202202286851653584
整理番号:22A1154733
Twitterユーザのソーシャルメディア活動に基づく抑うつ傾向予測のためのアンサンブルニューラルモデル【JST・京大機械翻訳】
Ensemble Neural Models for Depressive Tendency Prediction Based on Social Media Activity of Twitter Users
著者 (3件):
Saini Gurdeep
(Department of Information Technology, Healthcare Analytics and Language Engineering (HALE), National Institute of Technology Karnataka, Mangalore, India)
,
Yadav Naveen
(Department of Information Technology, Healthcare Analytics and Language Engineering (HALE), National Institute of Technology Karnataka, Mangalore, India)
,
Kamath S Sowmya
(Department of Information Technology, Healthcare Analytics and Language Engineering (HALE), National Institute of Technology Karnataka, Mangalore, India)
資料名:
Lecture Notes in Electrical Engineering
(Lecture Notes in Electrical Engineering)
巻:
848
ページ:
211-226
発行年:
2022年
JST資料番号:
W5070A
ISSN:
1876-1100
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)