What Matters in Explanations: Towards Explainable Fake Review Detection Focusing on Transformers

M Shajalal, M Atabuzzaman, A Boden… - arXiv preprint arXiv …, 2024 - arxiv.org
Customers' reviews and feedback play crucial role on electronic commerce~(E-commerce)
platforms like Amazon, Zalando, and eBay in influencing other customers' purchasing …

Application of AI-based Models for Online Fraud Detection and Analysis

A Papasavva, S Johnson, E Lowther… - arXiv preprint arXiv …, 2024 - arxiv.org
Fraud is a prevalent offence that extends beyond financial loss, causing psychological and
physical harm to victims. The advancements in online communication technologies alowed …

Fake Review Identification using Hybrid Fusion of Machine Learning and Natural Language Processing Techniques

CR Veda, N Apoorva, N Vishnu… - 2024 3rd Odisha …, 2024 - ieeexplore.ieee.org
The proliferation of online shopping platforms has brought about a surge in user-generated
product reviews, making it susceptible to the infiltration of fake reviews. For these platforms …

A Review of Different Machine Learning Techniques for Fake Review Identification

K Mane, S Dongre - 2024 5th International Conference on Data …, 2024 - ieeexplore.ieee.org
Online reviews and ratings of the e-commerce products have grown to be an essential part
of the contemporary customer experience in recent years, offering insightful information …

Exploring Machine Learning and Deep Learning Techniques for Fake Review Detection: A Comprehensive Literature Review

S Khalif, K Mane - … Research Journal on Advanced Engineering Hub …, 2024 - irjaeh.com
Over the last few years, the impact of reviews on ecommerce industries and the folk who rely
on the online reviews have increased. Most of the online shoppers depends on the reviews …

[PDF][PDF] Generating CIFAR images using GAN and ML

RR Raj, Y Pandey, S Kumar - researchgate.net
Generative Adversarial Networks (GANs) have marked a revolutionary turning point in
image generation, providing a robust foundation for creating high-quality synthetic images …