Advancing fake news detection: Hybrid deep learning with fasttext and explainable ai

E Hashmi, SY Yayilgan, MM Yamin, S Ali… - IEEE …, 2024 - ieeexplore.ieee.org
The widespread propagation of misinformation on social media platforms poses a significant
concern, prompting substantial endeavors within the research community to develop robust …

Analyzing amazon products sentiment: a comparative study of machine and deep learning, and transformer-based techniques

H Ali, E Hashmi, S Yayilgan Yildirim, S Shaikh - Electronics, 2024 - mdpi.com
In recent years, online shop** has surged in popularity, with customer reviews becoming
a crucial aspect of the decision-making process. Reviews not only help potential customers …

Natural language processing systems for extracting information from electronic health records about activities of daily living. A systematic review

Y Wieland-Jorna, D van Kooten, RA Verheij… - JAMIA …, 2024 - academic.oup.com
Objective Natural language processing (NLP) can enhance research on activities of daily
living (ADL) by extracting structured information from unstructured electronic health records …

Defense and Security Mechanisms in the Internet of Things: A Review.

S Szymoniak, J Piątkowski… - Applied Sciences (2076 …, 2025 - search.ebscohost.com
Abstract The Internet of Things (IoT) transforms traditional technology by introducing smart
devices into almost every field, enabling real-time monitoring and automation. Despite the …

A supervised deep learning-based sentiment analysis by the implementation of Word2Vec and GloVe Embedding techniques

P Rakshit, A Sarkar - Multimedia Tools and Applications, 2024 - Springer
Sentiment analysis provides valuable insights into people's opinions, emotions, and
attitudes, enabling businesses to make more informed decisions, improve customer …

A robust hybrid approach with product context-aware learning and explainable ai for sentiment analysis in amazon user reviews

E Hashmi, SY Yayilgan - Electronic Commerce Research, 2024 - Springer
In the ever-changing world of business, gaining valuable insights from customer
perspectives is crucial. Consumer evaluations are crucial performance indicators for …

Enhancing multilingual hate speech detection: From language-specific insights to cross-linguistic integration

E Hashmi, SY Yayilgan, IA Hameed, MM Yamin… - IEEE …, 2024 - ieeexplore.ieee.org
The rise of social media has enabled individuals with biased perspectives to spread hate
speech, directing it toward individuals based on characteristics such as race, gender …

Ensemble based high performance deep learning models for fake news detection

M E. Almandouh, MF Alrahmawy, M Eisa… - Scientific Reports, 2024 - nature.com
Social media has emerged as a dominant platform where individuals freely share opinions
and communicate globally. Its role in disseminating news worldwide is significant due to its …

Transformer-based named entity recognition in construction supply chain risk management in Australia

MB Shishehgarkhaneh, RC Moehler, Y Fang… - IEEE …, 2024 - ieeexplore.ieee.org
In the Australian construction industry, effective supply chain risk management (SCRM) is
critical due to its complex networks and susceptibility to various risks. This study explores the …

[HTML][HTML] Enhancing Fake News Detection with Word Embedding: A Machine Learning and Deep Learning Approach

MAB Al-Tarawneh, O Al-irr, KS Al-Maaitah, H Kanj… - Computers, 2024 - mdpi.com
The widespread dissemination of fake news on social media has necessitated the
development of more sophisticated detection methods to maintain information integrity. This …