Enhanced Transformer-BLSTM Model for Classifying Sentiment of User Comments on Movies and Books
Author:
Affiliation:
1. School of Information Science and Technology, Tan Kah Kee College, Xiamen University, Xiamen, China
2. Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10562280.pdf?arnumber=10562280
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1. High data growth and modern applications drive new storage requirements in digitally transformed enterprises;Burgener,2022
2. A BERT-based system for multi-topic labeling of Arabic content
3. Leveraging multiple features for document sentiment classification
4. Improving Document-Level Sentiment Classification Using Importance of Sentences
5. Multi-Task Learning Model Based on Multi-Scale CNN and LSTM for Sentiment Classification
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