Bstc: A fake review detection model based on a pre-trained language model and convolutional neural network

J Lu, X Zhan, G Liu, X Zhan, X Deng - Electronics, 2023 - mdpi.com
Detecting fake reviews can help customers make better purchasing decisions and maintain
a positive online business environment. In recent years, pre-trained language models have …

Fake review detection based on multiple feature fusion and rolling collaborative training

J Wang, H Kan, F Meng, Q Mu, G Shi, X Xiao - Ieee Access, 2020 - ieeexplore.ieee.org
Fake reviews may mislead consumers. A large number of fake reviews will even cause huge
property losses and public opinion crises. Therefore, it is necessary to detect and filter fake …

[HTML][HTML] An explainable ensemble of multi-view deep learning model for fake review detection

R Mohawesh, S Xu, M Springer, Y Jararweh… - Journal of King Saud …, 2023 - Elsevier
Online reviews significantly impact consumers who are purchasing or seeking services via
the Internet. Businesses and review platforms need to manage these online reviews to avoid …

Fake online reviews: A unified detection model using deception theories

M Abdulqader, A Namoun, Y Alsaawy - IEEE Access, 2022 - ieeexplore.ieee.org
Online reviews influence consumers' purchasing decisions. However, identifying fake online
reviews automatically remains a complex problem, and current detection approaches are …

Fake consumer review detection using deep neural networks integrating word embeddings and emotion mining

P Hajek, A Barushka, M Munk - Neural Computing and Applications, 2020 - Springer
Fake consumer review detection has attracted much interest in recent years owing to the
increasing number of Internet purchases. Existing approaches to detect fake consumer …

[PDF][PDF] Fake review detection focusing on emotional expressions and extreme rating

TVM Aono - The association for natural language processing, 2019 - anlp.jp
Inexperienced buyers/customers tend to refer to historical reviews of a product/service to
help them make decision. Booking a hotel room, deciding to go to a new restaurant, or …

Fake restaurant review detection using deep neural networks with hybrid feature fusion method

Y Jian, X Chen, H Wang - … Conference on Database Systems for Advanced …, 2022 - Springer
Online review websites all over the world have developed by leaps and bounds in the past
decade, followed by more and more fake reviews that are very difficult to identify. This not …

Transparency in healthcare and e-commerce: detecting online fake reviews using a dense neural network model with relevance mapping

N Deshai, BB Rao - Soft Computing, 2023 - Springer
In today's generation, many healthcare organizations moving towards patient-centred quality
assessment, transparency strategies, and practices. Therefore, online reviews are the part of …

Fake reviews detection: A survey

R Mohawesh, S Xu, SN Tran, R Ollington… - Ieee …, 2021 - ieeexplore.ieee.org
In e-commerce, user reviews can play a significant role in determining the revenue of an
organisation. Online users rely on reviews before making decisions about any product and …

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 …