VarityCheck

This study presents the Deceptive Review Analysis System (DRAS), a novel technology utilizing machine learning for the real-time classification of online reviews as authentic or deceptive. By employing a hybrid approach, DRAS synthesizes an analysis of review content (textual features) and the corresponding reviewer behavioral patterns. Using a supervised learning paradigm, the final system, built around an optimized Support Vector Machine (SVM) model, was trained on a comprehensive, pre-labeled dataset. The model achieved a validated accuracy of 70% on the hold-out set. This result establishes a robust and functional baseline, confirming the viability of a data-driven, scalable solution to recapture consumer trust and platform integrity in the face of escalating opinion spam. Future work is clearly defined to leverage advanced deep learning architectures, specifically BERT, to address current limitations in semantic understanding.