An Approach to Improve the Accuracy of Detecting Spam in Online Reviews
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9396769/9396770/09396881.pdf?arnumber=9396881
Cited by 6 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. Advancing Email Spam Classification using Machine Learning and Deep Learning Techniques;Engineering, Technology & Applied Science Research;2024-08-02
2. Detection of fake reviewer groups in product reviews using novel bidirectional encoder revolutionary transformer compared with stochastic gradient descent;AIP Conference Proceedings;2024
3. Enhanced Extremist Reviewer Group Detection in Online Product Reviews using RNN in comparison with CNN;2023 9th International Conference on Smart Structures and Systems (ICSSS);2023-11-23
4. Evaluating the Effectiveness of Spam Message Classification and Detection based on Deep Bi-GRU Method;2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA);2023-11-22
5. Improving spam email classification accuracy using ensemble techniques: a stacking approach;International Journal of Information Security;2023-09-20
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