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
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 …
customers share their first-hand experiences about the products or services. These reviews …
Virtual Lies and Digital Truths: A Review of Research on Deception in Online Communication
Whether we like it or not, deceptive communication is an ever-present aspect of personal
interactions, and it should come as no surprise that it is deeply embedded in communication …
interactions, and it should come as no surprise that it is deeply embedded in communication …
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 shopping among customers. People preferred to read the comments posted by …
online shopping among customers. People preferred to read the comments posted by …
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 …
leading to biased outcomes and reduced model reliability. This study addresses data …
[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 …
Holy quran-italian seq2seq machine translation with attention mechanism
H Hamed, AM Helmy… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Many machine translation studies have used large parallel groups to address sets of major
European dialects. However, due to the lack of sufficient parallel information, few studies …
European dialects. However, due to the lack of sufficient parallel information, few studies …
Social media fake news detection using MNB in blockchain
AD Waghmare, GK Patnaik - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Nowadays, due to the high usage of social media-based global news, verification and
authentication is a very challenging task. Most social media platforms are easily enabled to …
authentication is a very challenging task. Most social media platforms are easily enabled to …
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 …