Attention-based position-aware framework for aspect-based opinion mining using bidirectional long short-term memory-Reference-Cited by-同舟云学术

Attention-based position-aware framework for aspect-based opinion mining using bidirectional long short-term memory

Published:2021-09 Issue: Volume: Page:
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Pathan Azizkhan F^ORCID,Prakash Chetana

Publisher

Elsevier BV

Subject

General Computer Science

Reference28 articles.

1. Sentiment Analysis and Opinion Mining;Liu;Synthesis Lectures on Human Language,2012

2. Target-dependent Twitter Sentiment Classification;Jiang,2011

3. Yequan Wang, Minlie Huang, Xiaoyan Zhu, Li Zhao. 2016. Attention-based LSTM for aspect-level sentiment classification. In: EMNLP. pp. 606–615.

4. Duyu Tang, Bing Qin, Ting Liu. 2016a. Effective LSTMs for Target-Dependent Sentiment Classification. In: Proceedings of the 26th international conference on computational linguistics (COLING 2016). pp. 3298–3307.

5. Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang. 2017. Interactive Attention Networks for Aspect-Level Sentiment Classification. In: Proceedings of the Internal Joint Conference on Artificial Intelligence (IJCAI 2017). pp. 4068–4074.

Cited by 5 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. Opinion mining on Indonesian tourism TikTok video content using fasttext and multilayer long short-term memory;AIP Conference Proceedings;2024

2. A Hybrid Optimized Model for Opinion Mining with Dual Weightage Aspects;2023 Seventh International Conference on Image Information Processing (ICIIP);2023-11-22

3. Evaluating the Performance and Accuracy of Supervised Learning Models on Sentiment Analysis of E-Wallet;2023 7th International Conference on Information Technology (InCIT);2023-11-16

4. Heart Disease Detection -A Machine Learning Approach;Data Analytics and Artificial Intelligence;2023-02-01

5. Emoji-based Opinion Mining using Deep Learning Techniques;2022-12-01