Sentiment Analysis of Amazon Product Reviews Using Machine Learning and Deep Learning Models
Author:
Affiliation:
1. East West University,Department of Electronics and Communications Engineering,Dhaka,Bangladesh
2. Global Information and Telecommunication Institute, Waseda University,Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9836329/9836341/09836420.pdf?arnumber=9836420
Cited by 13 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-Based Approaches for Measuring Customer Feedback in the E-Commerce Industry;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10
2. Sentiment Analysis of the Amazon Customers Using the BiGRU Neural Network Enhanced by Attention Mechanism;2023 14th International Conference on Information and Knowledge Technology (IKT);2023-12-26
3. Framework for Choosing a Supervised Machine Learning Method for Classification Based on Object Categories : Classifying Subjectivity of Online Comments by Product Categories;Proceedings of the 13th International Conference on Advances in Information Technology;2023-12-06
4. A Brief Survey of Machine Learning and Deep Learning Techniques for E-Commerce Research;Journal of Theoretical and Applied Electronic Commerce Research;2023-12-04
5. A Hybrid Neural Network Optimal Model Based on Multi-Channel CNN and BiLSTM with Attention Mechanism;2023 China Automation Congress (CAC);2023-11-17
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