Hybrid Regularizations for Multi-Aspect Category Sentiment Analysis-Reference-Cited by-同舟云学术

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Hybrid Regularizations for Multi-Aspect Category Sentiment Analysis

Published:2023-10-01 Issue:4 Volume:14 Page:3294-3304
ISSN:1949-3045
Container-title:IEEE Transactions on Affective Computing
language:
Short-container-title:IEEE Trans. Affective Comput.

Author:

Hu Mengting¹^ORCID,Zhao Shiwan²^ORCID,Guo Honglei³^ORCID,Su Zhong⁴

Affiliation:

1. College of Software, Nankai University, Tianjin, China

2. Natural Language Processing Group, IBM China Research China Beijing, Beijing, China

3. Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China

4. Alibaba Research, Beijing, China

Funder

National Science Fund of Tianjin

Basic Scientific Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Software

Link

http://xplorestaging.ieee.org/ielx7/5165369/10330166/10017359.pdf?arnumber=10017359

Reference47 articles.

1. Long short-term memory;hochreiter;Neural Comput,1997

2. Multitask learning for neural generative question answering

3. Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis

4. CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis

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. Aspect category sentiment classification via document-level GAN and POS information;International Journal of Machine Learning and Cybernetics;2024-02-27

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