Abstract: The rapid rise in Short Message Service (SMS) communication has also seen a surge in spam content, including phishing and deceptive advertisements. This study proposes a robust and scalable ...

Ash-NLP is a multi-model ensemble crisis detection system designed to identify crisis signals in Discord community messages. It uses a weighted combination of four specialized NLP models to provide ...

Abstract: The growing volume of unsolicited spam emails threatens user privacy, productivity, and digital security. This study proposes an enhanced spam detection model by integrating phrase pattern ...

Telecom Fraud Detection: SMS Spam Classifier built with Python, Scikit-learn, and Streamlit. Achieves ~98% accuracy using TF-IDF + Naive Bayes. Includes EDA, fraud trend visualization, and real-time ...