[HTML][HTML] Sentiment analysis for fake news detection

MA Alonso, D Vilares, C Gómez-Rodríguez, J Vilares - Electronics, 2021 - mdpi.com
In recent years, we have witnessed a rise in fake news, ie, provably false pieces of
information created with the intention of deception. The dissemination of this type of news …

Detecting fake reviews through topic modelling

ŞÖ Birim, I Kazancoglu, SK Mangla… - Journal of Business …, 2022 - Elsevier
Against the uncertainty caused by the information overload in the online world, consumers
can benefit greatly by reading online product reviews before making their online purchases …

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 …

Detecting fake reviews using n-gram model and chi-square

Z Hadi, A Sunyoto - 2023 6th International Conference on …, 2023 - ieeexplore.ieee.org
Online product reviews are increasingly important in consumer purchasing decisions. They
tend to refer to product or service reviews online before purchasing. Therefore, conducting …

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 shop** among customers. People preferred to read the comments posted by …

Can end‐user feedback in social media be trusted for software evolution: Exploring and analyzing fake reviews

JA Khan, T Ullah, AA Khan, A Yasin… - Concurrency and …, 2024 - Wiley Online Library
End‐user feedback in social media platforms, particularly in the app stores, is increasing
exponentially with each passing day. Software researchers and vendors started to mine end …

[HTML][HTML] Multiscale cascaded domain-based approach for Arabic fake reviews detection in e-commerce platforms

N Qandos, G Hamad, M Alharbi, S Alturki… - Journal of King Saud …, 2024 - Elsevier
Fake reviews in e-commerce can lead to customer deception and financial losses. Despite
the importance of fake reviews detection, studies for Arabic language are scarce due to the …

Predicting diabetes in adults: identifying important features in unbalanced data over a 5-year cohort study using machine learning algorithm

M Talebi Moghaddam, Y Jahani, Z Arefzadeh… - BMC Medical Research …, 2024 - Springer
Background Imbalanced datasets pose significant challenges in predictive modeling,
leading to biased outcomes and reduced model reliability. This study addresses data …

Leveraging K-Nearest Neighbors with SMOTE and boosting techniques for data imbalance and accuracy improvement

A Lubis, Y Irawan, J Junadhi, S Defit - Journal of Applied Data …, 2024 - bright-journal.org
This research addresses the issue of low accuracy in sentiment analysis on Israeli products
on social media, initially achieving only 64% using the K-NN algorithm. Given the ongoing …

Advanced imaging technologies with ensemble learning for consumer products identification and classification

R Alabdan, HK Alkahtani, KM Othman… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Consumer product recognition involves utilizing computer vision (CV) and machine learning
(ML) systems for identifying and recognizing numerous consumer goods in video or image …