[HTML][HTML] A survey on hate speech detection and sentiment analysis using machine learning and deep learning models

M Subramanian, VE Sathiskumar… - Alexandria Engineering …, 2023 - Elsevier
In today's digital era, the rise of hate speech has emerged as a critical concern, driven by the
rapid information-sharing capabilities of social media platforms and online communities. As …

A Deep Hybrid Model for fake review detection by jointly leveraging review text, overall ratings, and aspect ratings

RA Duma, Z Niu, AS Nyamawe, J Tchaye-Kondi… - Soft Computing, 2023 - Springer
Recently, product/service reviews and online businesses have been similar to the blood–
heart relationship as they greatly impact customers' purchase decisions. There is an …

Exploring groups of opinion spam using sentiment analysis guided by nominated topics

J Li, P Lv, W Xiao, L Yang, P Zhang - Expert Systems with Applications, 2021 - Elsevier
Currently, it is common to see untruthful opinions (also known as review spam, fraud or
shilling attack) that resemble each other explicitly or implicitly across multiple business-to …

[HTML][HTML] Efficiency of automatic text generators for online review content generation

A Perez-Castro, MR Martínez-Torres… - … Forecasting and Social …, 2023 - Elsevier
Abstract The evolution of Artificial Intelligence has led to the appearance of automatic text
generators able to closely resemble human writing, endangering the development of e …

Graph-aware deep fusion networks for online spam review detection

L He, G Xu, S Jameel, X Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Product reviews on e-commerce platforms play a critical role in shaping users' purchasing
decisions. Unfortunately, online reviews sometimes can be intentionally misleading to …

Spam reviews detection in the time of COVID-19 pandemic: Background, definitions, methods and literature analysis

AM Al-Zoubi, AM Mora, H Faris - Applied Sciences, 2022 - mdpi.com
During the recent COVID-19 pandemic, people were forced to stay at home to protect their
own and others' lives. As a result, remote technology is being considered more in all aspects …

Shooting review spam with a weakly supervised approach and a sentiment-distribution-oriented method

J Li, L Yang, P Zhang - Applied Intelligence, 2023 - Springer
Untruthful opinions, ballot-stuffing or bad-mouthing online commodities, are challenging to
identify because of two prominent obstacles, ie, lack of ground-truth annotations and …

Influence of travel distance and travel experience on travelers' online reviews: price as a moderator

DP Xu, L Deng, X Fan, Q Ye - Industrial Management & Data Systems, 2022 - emerald.com
Purpose Building on a small body of work, the authors' study aims to investigate some
important antecedents of online review characteristics in the Chinese restaurant industry …

Heterogeneous graph representation learning via mutual information estimation for fraud detection

Z Zhang, X Su, J Wu, CJ Tessone, H Liao - Journal of Network and …, 2025 - Elsevier
In the fraud detection, fraudsters frequently engage with numerous benign users to disguise
their activities. Consequently, the fraud graph exhibits not only homogeneous connections …

Exposing collaborative spammer groups through the review-response graph

J Li, J Hu, P Zhang, L Yang - Multimedia Tools and Applications, 2023 - Springer
Deceptive opinions of online merchandises, also known as review spams, cause great loss
for consumers, manufacturers and even business-to-customer platforms. However, due to …