This research paper presents a novel approach for spam detection using natural language processing. The proposed strategy utilizes a least-squares model to modify themes and incorporates gradient ...

In this study, we investigate the efficacy of deep-learning models for filtering Swahili SMS spam based on linguistics and behavioral patterns using a real-world dataset from telecommunications ...

This project focuses on building a binary classification model that detects whether an incoming SMS message is spam or not (ham), using natural language processing (NLP) and deep learning techniques.