Mining behavioural and sentiment-dependent linguistic patterns from restaurant reviews for fake review detection

P Hajek, JM Sahut - 2022 - dk.upce.cz
Online reviews are increasingly recognized as a key source of information influencing
consumer behavior. This in turn implies that competitive advantage can be achieved by …

[HTML][HTML] Α ranking model based on user generated content and fuzzy logic

D Novas, D Papakyriakopoulos, EP Kartaloglou… - International Journal of …, 2023 - Elsevier
Abstract User Generated Comments and ranking based on it, has been studied extensively
due to its impact on consumers and businesses. Literature highlights that platforms' rankings …

Detecting fake reviews with supervised machine learning algorithms

M Lee, YH Song, L Li, KY Lee… - The Service Industries …, 2022 - Taylor & Francis
This study provides an applicable methodological procedure applying Artificial Intelligence
(AI)-based supervised Machine Learning (ML) algorithms in detecting fake reviews of online …

Email embeddings for phishing detection

LF Gutiérrez, F Abri, M Armstrong… - … conference on big …, 2020 - ieeexplore.ieee.org
The problem of detecting phishing emails through machine learning techniques has been
discussed extensively in the literature. Conventional and state-of-the-art machine learning …

Fake reviews detection using support vector machine

R Poonguzhali, SF Sowmiya… - … Computing and Data …, 2022 - ieeexplore.ieee.org
One of the fastest expanding business categories in the world today is internet shopping.
People nowadays buy a lot of things from internet shopping sites. Customers can buy a …

APSN: adversarial pseudo-siamese network for fake news stance detection

Z Zhou, Y Yang, Z Li - Electronics, 2023 - mdpi.com
Fake news is a longstanding issue that has existed on the social network, whose negative
impact has been increasingly recognized since the US presidential election. During the …

Joint sentiment topic model with word embeddings for fake review detection

L Shi, S Xie, L Wei, Y Tao, AW Junaid… - Available at SSRN …, 2022 - papers.ssrn.com
Instead of relying exclusively on suppliers to excavate information about products and
services, Internet users are now capable of attaining valuable information from a large …

Deception and Lie Detection Using Reduced Linguistic Features, Deep Models and Large Language Models for Transcribed Data

T Nguyen, F Abri, AS Namin… - 2024 IEEE 48th Annual …, 2024 - ieeexplore.ieee.org
In recent years, there has been a growing interest in and focus on the automatic detection of
deceptive behavior. This attention is justified by the wide range of applications that …

Review the Amazon Products Using Data Science Tools to Enhance Online Feedback and Services

B Elhussein, AE Karrar - 2023 Second International …, 2023 - ieeexplore.ieee.org
Many websites provide their services officially and unofficially, leading to many customer
problems, such as fraud, delays in the services offered, and many other issues. Millions of …

Phishing detection through email embeddings

LF Gutiérrez, F Abri, M Armstrong, AS Namin… - arXiv preprint arXiv …, 2020 - arxiv.org
The problem of detecting phishing emails through machine learning techniques has been
discussed extensively in the literature. Conventional and state-of-the-art machine learning …