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Securing tomorrow: a comprehensive survey on the synergy of Artificial Intelligence and information security
This survey paper explores the transformative role of Artificial Intelligence (AI) in information
security. Traditional methods, especially rule-based approaches, faced significant …
security. Traditional methods, especially rule-based approaches, faced significant …
Analyzing amazon products sentiment: a comparative study of machine and deep learning, and transformer-based techniques
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 …
a crucial aspect of the decision-making process. Reviews not only help potential customers …
Dissecting the infodemic: an in-depth analysis of COVID-19 misinformation detection on X (formerly Twitter) utilizing machine learning and deep learning techniques
The alarming growth of misinformation on social media has become a global concern as it
influences public opinions and compromises social, political, and public health …
influences public opinions and compromises social, political, and public health …
Augmenting sentiment prediction capabilities for code-mixed tweets with multilingual transformers
People in the modern digital era are increasingly embracing social media platforms to
express their concerns and emotions in the form of reviews or comments. While positive …
express their concerns and emotions in the form of reviews or comments. While positive …
Applications of llms for generating cyber security exercise scenarios
This study proposes a novel approach leveraging Large Language Models (LLMs) to
generate dynamic and complex adaptable cybersecurity exercise scenarios. Motivated by …
generate dynamic and complex adaptable cybersecurity exercise scenarios. Motivated by …
A robust hybrid approach with product context-aware learning and explainable ai for sentiment analysis in amazon user reviews
In the ever-changing world of business, gaining valuable insights from customer
perspectives is crucial. Consumer evaluations are crucial performance indicators for …
perspectives is crucial. Consumer evaluations are crucial performance indicators for …
Enhancing multilingual hate speech detection: From language-specific insights to cross-linguistic integration
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 …
speech, directing it toward individuals based on characteristics such as race, gender …
[HTML][HTML] Self-supervised hate speech detection in norwegian texts with lexical and semantic augmentations
The proliferation of social media platforms has significantly contributed to the spread of hate
speech, targeting individuals based on race, gender, impaired functioning, religion, or …
speech, targeting individuals based on race, gender, impaired functioning, religion, or …
FNNet: A secure ensemble-based approach for fake news detection using blockchain
Blockchain technology has unlocked the doors of building decentralized applications, where
security plays a vital role. Any transaction ever created in a blockchain is recorded …
security plays a vital role. Any transaction ever created in a blockchain is recorded …
[HTML][HTML] Social media's dark secrets: A propagation, lexical and psycholinguistic oriented deep learning approach for fake news proliferation
Most existing methods for detecting fraudulent news or other forms of disinformation
primarily rely on user profiling or content analysis, determining whether a given article aligns …
primarily rely on user profiling or content analysis, determining whether a given article aligns …