This study aims to identify and review existing state-of-the-art methodologies for three groups: 1) spam reviews; 2) individual spammers; and 3) group spam. The machine learning (ML) and deep learning ...

This study presents a novel spam review detection framework for eCommerce platforms that combines Association Rule Mining with Convolutional Neural Networks (CNN) to tackle the growing issue of ...

The anti-spam and anti-scam solution is one such application, that is deployed on Wisley.ai in a telco ecosystem, enabling real-time threat detection across SMS, Voice, and VoIP channels, for both ...

Although deep learning shows potential for early detection of STIs, there are challenges to ensuring the generalisability of such algorithms due to limited heterogeneous data. Standardised, diverse ...

I'm excited to share a recent project where I developed a "Spam Mail Prediction System" using Machine Learning, implementing a complete pipeline from data preparation to model deployment. This ...

– Provide specific code examples for suggested changes where applicable Please be specific, constructive, and actionable in your feedback. Output the review in markdown format.