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Study on the fusion emotion classification of multiple characteristics based on attention mechanism

Li Ying Shao Qing Hao Weichen

高技术通讯(英文版)2021,Vol.27Issue(3):320-328,9.
高技术通讯(英文版)2021,Vol.27Issue(3):320-328,9.DOI:10.3772/j.issn.1006-6748.2021.03.011

Study on the fusion emotion classification of multiple characteristics based on attention mechanism

Study on the fusion emotion classification of multiple characteristics based on attention mechanism

Li Ying 1Shao Qing 1Hao Weichen1

作者信息

  • 1. School of Optoelectronic Information and Intelligent Engineering,University of Shanghai for Science and Technology,Shanghai 200093,P.R.China
  • 折叠

摘要

关键词

multi-head attention (MHA)/structured-self attention (SSA)/emotion classifi-cation/deep learning/bidirectional long-short-term memory (BiLSTM)

Key words

multi-head attention (MHA)/structured-self attention (SSA)/emotion classifi-cation/deep learning/bidirectional long-short-term memory (BiLSTM)

引用本文复制引用

Li Ying,Shao Qing,Hao Weichen..Study on the fusion emotion classification of multiple characteristics based on attention mechanism[J].高技术通讯(英文版),2021,27(3):320-328,9.

基金项目

Supported by the National Key Research and Development Program of China (No.2018YFB1702601) and the Science and Technology Com-mission of Shanghai Municipality (No.19511105103). (No.2018YFB1702601)

高技术通讯(英文版)

OAEI

1006-6748

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