Sentiment Analysis Using Multi-Head Attention Capsules With Multi-Channel CNN and Bidirectional GRU

Sentiment Analysis Using Multi-Head Attention Capsules With Multi-Channel CNN and Bidirectional GRU

Existing text sentiment analysis methods mostly rely on a large number of language knowledge and sentiment resources. This paper proposes the Multi-channel convolution and bidirectional GRU multi-head attention capsule (AT-MC-BiGRU-Capsule), which uses vector neurons to replace scalar neurons to mod...

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Bibliographic Details
Main Authors: Yan Cheng, Huan Sun, Haomai Chen, Meng Li, Yingying Cai, Zhuang Cai, Jing Huang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Text sentiment analysis
multi-head attention
convolutional neural network
bidirectional gated recurrent unit networks
sentiment capsule
Online Access:https://ieeexplore.ieee.org/document/9406579/

Internet

https://ieeexplore.ieee.org/document/9406579/

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