Text Sentiment Classification Based on LSTM-TCN Hybrid Model and Attention Mechanism-Reference-Cited by-同舟云学术

Text Sentiment Classification Based on LSTM-TCN Hybrid Model and Attention Mechanism

Published:2020-10-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th International Conference on Computer Science and Application Engineering
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Author:

Cao Dong¹,Huang Yujie²,Li Hui³,Zhao Xu⁴,Zhao Qunhe⁴,Fu Yunbin⁴

Affiliation:

1. DeepBlue Technology (Shanghai) Co., Ltd, Shanghai, China and DeepBlue Institute, Nanjing, China

2. School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo Henan China

3. School of Physics and Electronic Information, Henan Polytechnic University, Jiaozuo Henan China

4. DeepBlue Technology (Shanghai) Co., Ltd, Shanghai, China

Publisher

ACM

Reference14 articles.

1. LSTM with sentence representations for document-level sentiment classification;Zrao;Neuro Computing,2018

2. Adaptive weight multigram sentence modeling system based on convolutional neural network;Chunyun Zhang;Computer Science,2017

4. Application of dual-channel convolutional neural network in text sentiment analysis;Ping Li;Computer Applications,2018

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