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 ...
The prospect of an Alberta sovereignty referendum triggered a wave of clickbait stories on video-sharing sites earlier this year. But in a development that one expert calls "troubling," content farms ...
Scammers are now using “SMS blasters” to send out up to 100,000 texts per hour to phones that are tricked into thinking the devices are cell towers. Your wireless carrier is powerless to stop them.
This project classifies SMS messages as spam or ham using a PyTorch logistic regression model with a bag-of-words representation, including train/validation/test split, performance evaluation ...
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 ...
If you, like practically anyone else with a cell phone in the U.S. and beyond, have received a scam text message about an unpaid toll or undelivered mail item, there’s a good chance you have been ...
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 ...
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 ...
When you install Python packages into a given instance of Python, the default behavior is for the package’s files to be copied into the target installation. But sometimes you don’t want to copy the ...