An Efficient Ensemble approach for Fake Reviews Detection
Author:
Affiliation:
1. Riphah College of Computing, Riphah International University,Faisalabad,Pakistan
2. School of Information and Software Engineering, University of Electronic Science and Technology of China,Chengdu,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10136637/10136621/10136652.pdf?arnumber=10136652
Reference36 articles.
1. EchoFakeD: improving fake news detection in social media with an efficient deep neural network
2. Data Analytics for the Identification of Fake Reviews Using Supervised Learning
3. Identifying Indicators of Fake Reviews Based on Spammer's Behavior Features
4. Creating and detecting fake reviews of online products
5. A survey on feature selection based spam review detection using deep learning techniques;sophia;International Journal of Advanced Information Technology,2020
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1. Analysis of Fake News Detection using Graph Neural Network (GNN) and Deep Learning;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11
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