A Sentiment Analysis Method of Capsule Network Based on BiLSTM

A Sentiment Analysis Method of Capsule Network Based on BiLSTM

Nowadays, capsule network model is widely used in image processing, whose feature engineering is not suitable for sentiment analysis based on texts obviously. In this paper, we propose a capsule network model with BiLSTM named caps-BiLSTM for sentiment analysis to solve the problem, and introduce th...

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Bibliographic Details
Main Authors: Yongfeng Dong, Yu Fu, Liqin Wang, Yunliang Chen, Yao Dong, Jianxin Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Sentiment analysis
neural network
capsule network
BiLSTM
Online Access:https://ieeexplore.ieee.org/document/9007445/

Internet

https://ieeexplore.ieee.org/document/9007445/

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