Fake Review Detection Model Based on Machine Learning

Online reviews are critical to consumer decision-making and business reputation. However, fakereviews compromise their credibility, leading to financial and reputational harm. This paper introduces amachine learning-based framework for detecting fake reviews. The system integrates natural languageprocessing (NLP) techniques for feature extraction and supervised learning algorithms for classification.Experimental evaluations on publicly available datasets reveal that ensemble learning methods outperformtraditional classifiers, achieving superior accuracy and robustness.