Improving multi-label emotion classification via sentiment classification with dual attention transfer network

In this paper, we target at improving the performance of multi-label emotion classification with the help of sentiment classification. Specifically, we propose a new transfer learning architecture to divide the sentence representation into two different feature spaces, which are expected to respecti...

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Bibliographic Details
Main Authors: YU, Jianfei, MARUJO, Luis, JIANG, Jing, KARUTURI, Pradeep, BRENDEL, William
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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Online Access:https://ink.library.smu.edu.sg/sis_research/4279
https://ink.library.smu.edu.sg/context/sis_research/article/5282/viewcontent/Improving_Multi_label_Emotion_Class_2018_pv.pdf
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Institution: Singapore Management University
Language: English