Encoding Text Information with Graph Convolutional Networks for Personality Recognition

Encoding Text Information with Graph Convolutional Networks for Personality Recognition

Personality recognition is a classic and important problem in social engineering. Due to the small number and particularity of personality recognition databases, only limited research has explored convolutional neural networks for this task. In this paper, we explore the use of graph convolutional n...

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Bibliographic Details
Main Authors:	Zhe Wang, Chun-Hua Wu, Qing-Biao Li, Bo Yan, Kang-Feng Zheng
Format:	Article
Language:	English
Published:	MDPI AG 2020-06-01
Series:	Applied Sciences
Subjects:	personality recognition word co-occurrence information sharing correlation personality GCN
Online Access:	https://www.mdpi.com/2076-3417/10/12/4081

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