Morning Overview on MSN

Spam texts surged 50%; how to turn on iPhone and Android filters

The Federal Trade Commission released new data showing that Americans reported losing $470 million to scams that started with ...
MediaNama

Telcos Must Share Customer KYC Data Across Networks For AI-Based Spam Detection, TRAI Directs

TRAI has rolled out a new AI-driven spam rule for telecom operators. What changes from March 29 could affect callers across ...
IEEE

Resource-Efficient Hybrid Machine Learning Model for IoT SMS Spam Detection

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 ...
GitHub

Machine Learning spam classifier achieving 98% accuracy using SVM, NLP, and TF-IDF vectorization

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 ...
Morningstar

Machine Learning Can Forecast Which Stock Factors Will Outperform

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 ...
Android Police

Google Messages' Unsubscribe button: A powerful tool against SMS spam

Irene Okpanachi is a Features writer, covering mobile and PC guides that help you understand your devices. She has five years' experience in the Tech, E-commerce, and Food niches. Particularly, the ...
GitHub

MusXIII/SMS_SPAM_DETECTION

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 ...
Scientific Research Publishing

Comparative Research in Sentiment Analysis Using Machine Learning Technique ()

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 ...
IEEE

LoRA and ReFT Optimized Explainable Machine Learning and Deep Learning Framework for SMS Spam Detection

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 ...