📧 Spam-Ham Message Classifier (NLP Project) This project is a Natural Language Processing (NLP) based Spam Detection System that classifies text messages as either Spam or Ham (Not Spam) using the TF ...

This project focuses on the creation and evaluation of an email classifier to distinguish between "spam" and "ham" (non-spam) emails. Natural Language Processing (NLP) and machine learning techniques ...

Spam via short messaging service (SMS) is becoming more prevalent as spammers use it as a means of reaching their targets. While spam SMS messages can be annoying, they can also be dangerous since ...

The exponential growth of mobile communication has led to an increase in the volume of spam SMS messages, posing a significant challenge to users. This research paper focuses on the detection of ...

Australian researchers have developed a spam classifier based on game theory they say outperforms current models. "Attackers change their data to circumvent the classifier (spam filter) so the ...

Gmail’s spam filters can now understand “adversarial text manipulations. ... The upgrade comes in the form of a new text classification system called RETVec ...