Transfer Learning With Document-Level Data Augmentation for Aspect-Level Sentiment Classification-Reference-Cited by-同舟云学术

Transfer Learning With Document-Level Data Augmentation for Aspect-Level Sentiment Classification

Published:2023-12 Issue:6 Volume:9 Page:1643-1657
ISSN:2332-7790
Container-title:IEEE Transactions on Big Data
language:
Short-container-title:IEEE Trans. Big Data

Author:

Huang Xiaosai¹^ORCID,Li Jing²^ORCID,Wu Jia³^ORCID,Chang Jun¹^ORCID,Liu Donghua⁴^ORCID

Affiliation:

1. School of Computer Science, Wuhan University, Wuhuan, China

2. National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence and School of Computer Science, Wuhan University, Wuhuan, China

3. School of Computing, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia

4. China Waterborne Transport Research Institute, Beijing, China

Funder

ARC

Science and Technology Major Project of Hubei Province

Next-Generation AI Technologies

Key Research and Development Program of Hubei Province

Hubei Province Key R&D Program Project

Major Science and Technology Project of Jilin Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/6687317/10314842/10234704.pdf?arnumber=10234704

Reference43 articles.

1. Deep Semantic Network Representation

2. Interactive Attention Networks for Aspect-Level Sentiment Classification

3. Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network

4. Attention and Lexicon Regularized LSTM for Aspect-based Sentiment Analysis

5. Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prompt-based data labeling method for aspect based sentiment analysis;International Journal of Machine Learning and Cybernetics;2024-05-23