Fake Review Detection by Identifying CG and OR

Author(s)	Ms. Thrisha P, Mrs. R. Deepa
Country	India
Abstract	Online reviews significantly influence customer purchasing decisions. However, the presence of fake reviews has become a major issue in e-commerce platforms. These fake reviews are either automatically generated (Content Generated - CG) or highly opinionated (Opinion Reviews - OR) to manipulate customer perception. This paper proposes a machine learning-based approach using Python to detect fake reviews by analyzing both CG and OR features. The system applies natural language processing (NLP) techniques such as text preprocessing, feature extraction, and classification algorithms to identify deceptive patterns. Experimental results show that the proposed model achieves high accuracy and improves detection performance compared to traditional methods.
Keywords	Fake Reviews, Content Generated (CG), Opinion Reviews (OR), Machine Learning, NLP, Python
Field	Computer Applications
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-05-19
DOI	https://doi.org/10.36948/ijfmr.2026.v08i03.78523

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International Journal For Multidisciplinary Research