The Effect of Fake Reviews on e-Commerce During and After Covid-19 Pandemic: SKL-Based Fake Reviews Detection

Author:

Tufail Hina1ORCID,Ashraf M. Usman2ORCID,Alsubhi Khalid3ORCID,Aljahdali Hani Moaiteq4ORCID

Affiliation:

1. Department of Computer Science, University of Management and Technology, Sialkot, Pakistan

2. Department of Computer Science, GC Women University Sialkot, Sialkot, Pakistan

3. Department of Computer Science, King Abdulaziz University, Jeddah, Saudi Arabia

4. Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

Funder

Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah

DSR technical and financial support

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Reference35 articles.

1. Progress in intelligent computing techniques: Theory, practice, and applications;sa;ICAC Proc,2017

2. Fake Review Detection Based on Multiple Feature Fusion and Rolling Collaborative Training

3. Statistical comparisons of classifiers over multiple data sets;demšar;J Mach Learn Res,2006

4. Sentiment Analysis of Restaurant Reviews Using Machine Learning Techniques

5. Fake review detection: Classification and analysis of real and pseudo reviews;mukherjee,2013

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