[HTML][HTML] Fake review detection using transformer-based enhanced LSTM and RoBERTa

R Mohawesh, HB Salameh, Y Jararweh… - International Journal of …, 2024 - Elsevier
Internet reviews significantly influence consumer purchase decisions across all types of
goods and services. However, fake reviews can mislead both customers and businesses …

Implementing deep learning on edge devices for snoring detection and reduction

NN Dinh, NC Bach, TV Bach, DTN Chi… - Computers in Biology …, 2025 - Elsevier
This study introduces MinSnore, a novel deep learning model tailored for real-time snoring
detection and reduction, specifically designed for deployment on low-configuration edge …

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 …

[HTML][HTML] Автоматизация выявления заказных отзывов на маркетплейсах при помощи экспертных признаков и реакций покупателей

АН Бородулина, ЕВ Михалькова - Цифровая социология, 2024 - cyberleninka.ru
Авторы представляют практическое исследование особенностей заказных отзывов,
которые упоминаются маркетологами и другими экспертами. Из-за обилия заказных …

MBO-DeBERTa: High Performance Fake Review Detection using pretrained DeBERTa Optimized with Monarch Butterfly paradigm

S Geetha, E Elakiya, MK Das - 2024 - researchsquare.com
In this era of internet, e-commerce has grown tremendously and the customers are
increasingly relying on reviews for product information. As these reviews influence the …

[PDF][PDF] DIGITAL ENVIRONMENT

AN Borodulina, EV Mikhalkova - Цифровая социология …, 2024 - digitalsociology.guu.ru
The article presents the results of a practical study of the features of fake reviews that are
described by marketers and other experts. Due to the abundance of fake reviews on …