Abstract: The increasing prevalence and complexity of spam have made detection a critical challenge, particularly in resource-constrained Internet of Things (IoT) environments affecting millions of ...
An intelligent spam detection system that classifies SMS/email messages with 98.48% accuracy using machine learning. This project compares multiple algorithms and provides comprehensive performance ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
Kong Ji Chen, 31 was sentenced to 24 weeks imprisonment after using an SMS blaster to spam commuters with fraudulent text messages during rush hour. The court heard a member of the public received a ...
This project implements a machine learning model to classify SMS messages as "spam" or "ham" (not spam) using Decision Trees and TF-IDF vectorization. CS_Project_II/ ├── dataset/ │ └── spam.csv # SMS ...
In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
Abstract: Short Message Service (SMS) spam detection aims to identify and filter unsolicited and potentially harmful messages, a growing problem affecting communication security and user trust. This ...
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