ALSEE: a framework for attribute-level sentiment element extraction towards product reviews

Author:

Xu Hanqing1,Zhang Shunxiang1,Zhu Guangli1,Zhu Haiyang1

Affiliation:

1. School of Computer Science and Engineering, Anhui University of Science & Technology, Huainan, People’s Republic of China

Funder

National Natural Science Foundation of China

Anhui Provincial Natural Science Foundation

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Software

Cited by 12 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. Multi-source Word-aligned Attention Average Pooling based Bidirectional Encoder Representation from Transformers for Product Review Sentiment Analysis;2024 4th International Conference on Data Engineering and Communication Systems (ICDECS);2024-03-22

2. PS-GCN: psycholinguistic graph and sentiment semantic fused graph convolutional networks for personality detection;Connection Science;2023-12-30

3. Sentiment Analysis of Client Reviews on a French E-Commerce Platform;2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE);2023-11-02

4. Lightweight multilayer interactive attention network for aspect-based sentiment analysis;Connection Science;2023-04-03

5. SEE-3D: Sentiment-driven emotion-cause pair extraction based on 3D-CNN;Computer Science and Information Systems;2023

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