Short Text Sentiment Analysis Based on Multiple Attention Mechanisms and TextCNN-BiLSTM
Author:
Affiliation:
1. School of Computer and Information, Hohai University,Nanjing,Jiangsu Province,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10199110/10199203/10199931.pdf?arnumber=10199931
Reference20 articles.
1. A method for multi-class sentiment classification based on an improved one-vs-one (OVO) strategy and the support vector machine (SVM) algorithm
2. Attention Is All You Need;vaswani;ArXiv,2017
3. Chinese short text classification model with multi-head self-attention mechanism;zhang;Journal of Computer Applications,2020
4. A cross-domain recommendation model based on dual attention mechanism and transfer learning;chai;Chinese Journal of Computers,2020
5. Aspect Based Sentiment Analysis With Feature Enhanced Attention CNN-BiLSTM
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