TBLC-rAttention: A Deep Neural Network Model for Recognizing the Emotional Tendency of Chinese Medical Comment

TBLC-rAttention: A Deep Neural Network Model for Recognizing the Emotional Tendency of Chinese Medical Comment

In the current paper, a hybrid depth neural network model, TBLC-rAttention, aiming at Chinese text emotion recognition, is proposed to identify the emotional tendency of the Chinese medical reviews. The model includes the following steps: acquiring and preprocessing the Chinese corpus; mapping the p...

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Bibliographic Details
Main Authors: Qibing Jin, Xingrong Xue, Wenjuan Peng, Wu Cai, Yuming Zhang, Ling Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Attention mechanism
bi-directional long short-term memory network (Bi-LSTM)
Chinese medical comment
Chinese text emotion recognition
convolutional neural network (CNN)
deep learning
Online Access:https://ieeexplore.ieee.org/document/9097578/

Internet

https://ieeexplore.ieee.org/document/9097578/

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