Finding fake reviews in e-commerce platforms by using hybrid algorithms

arXiv:2404.06339v1 Announce Type: cross
Abstract: Sentiment analysis, a vital component in natural language processing, plays a crucial role in understanding the underlying emotions and opinions expressed in textual data. In this paper, we propose an innovative ensemble approach for sentiment analysis for finding fake reviews that amalgamate the predictive capabilities of Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Decision Tree classifiers. Our ensemble architecture strategically combines these diverse models to capitalize on their strengths while mitigating inherent weaknesses, thereby …

abstract algorithms analysis arxiv capabilities commerce cs.cl cs.lg data e-commerce e-commerce platforms emotions ensemble fake hybrid language language processing natural natural language natural language processing opinions paper platforms predictive processing reviews role sentiment sentiment analysis textual type understanding vital