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[HTML][HTML] Sentiment analysis for fake news detection
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 …
information created with the intention of deception. The dissemination of this type of news …
Detecting fake reviews through topic modelling
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
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
Background Imbalanced datasets pose significant challenges in predictive modeling,
leading to biased outcomes and reduced model reliability. This study addresses data …
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
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 …
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
Consumer product recognition involves utilizing computer vision (CV) and machine learning
(ML) systems for identifying and recognizing numerous consumer goods in video or image …
(ML) systems for identifying and recognizing numerous consumer goods in video or image …