Abstract: The growing use of mobile communication has given rise to the issue of spam SMS messages, which consistently threaten user security with potentially harmful content. This research presents a ...

Abstract: In the era of digital transformation, the volume of textual data generated globally has escalated dramatically. This research focuses on the application of Natural Language Processing (NLP), ...

This project implements a context-aware spam detection system using Python. Unlike naive filters, it does not assume unknown senders are scammers. Decisions are made using behavior-based scoring and ...

Spam is annoying and can sometimes be dangerous if it's part of a widespread phishing attack. When you see spam, you delete it, at least that's what conventional wisdom suggests. However, it now seems ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

Add a description, image, and links to the spam-sms-nlp-sklearn-cli-portfolio topic page so that developers can more easily learn about it.