FRD-LSTM: a novel technique for fake reviews detection using DCWR with the Bi-LSTM method

H Qayyum, F Ali, M Nawaz, T Nazir - Multimedia Tools and Applications, 2023 - Springer
The growth of the internet and the availability of online stores has increased the trend of
online shopping among customers. People preferred to read the comments posted by …

[PDF][PDF] Fake reviews identification based on deep computational linguistic

SN Alsubari, MB Shelke… - International Journal of …, 2020 - researchgate.net
E-commerce platform has become an important resource of information. It takes into account
the feedbacks of consumers about products and services purchased from the online …

Fake review classification using supervised machine learning

H Khan, MU Asghar, MZ Asghar, G Srivastava… - … and Challenges: Virtual …, 2021 - Springer
The revolution of social media has propelled the online community to take advantage of
online reviews for not only posting feedback about the products, services, and other issues …

SAFER: sentiment analysis-based fake review detection in e-commerce using deep learning

D Baishya, JJ Deka, G Dey, PK Singh - SN Computer Science, 2021 - Springer
The problem of fake deceptive reviews has become a threatening aspect for online users in
recent years. With the evolution of the online markets, the trend towards fake reviews has …

[PDF][PDF] Deep learning hybrid approaches to detect fake reviews and ratings

N Deshai, BB Rao - Journal of Scientific & Industrial Research, 2022 - op.niscpr.res.in
Nowadays, online reviews and ratings are the most valuable source of word-of-mouth, voice-
of-customer, and feedback, also customers can make purchasing decisions on what to buy …

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 …

Leveraging transfer learning techniques-bert, roberta, albert and distilbert for fake review detection

P Gupta, S Gandhi, BR Chakravarthi - … of the 13th Annual Meeting of the …, 2021 - dl.acm.org
In this era of the internet, the online review system has grown tremendously, where
customers share their first-hand experiences about the products or services. These reviews …

[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 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 …

[PDF][PDF] A detection of unfairness online reviews using deep learning

N Deshai, BB Rao - J Theor Appl Inf Technol, 2022 - jatit.org
In Today's internet world, online activities are growing exponentially and generating a
tremendous number of online reviews and ratings, which are a valuable source of …