Abstract: Text classification (TC) has gained substantial importance across diverse domains due to the increasing proliferation of internet-based and digital technologies. Organizations worldwide ...

Scammers are reviving the wrong number scam, using text messages to trick people into engaging with them and potentially revealing personal information.The Federal Trade Commission says as many as 98% ...

DeepSeek, the Chinese artificial intelligence research company that has repeatedly challenged assumptions about AI development costs, has released a new model that fundamentally reimagines how large ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

This project implements and compares multiple machine learning classifiers to distinguish between AI-generated and human-written text. The system uses natural language processing techniques and ...

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...

This project aims to build a multi-class text classification model for consumer complaint narratives.It categorizes complaints into four classes: Credit Reporting, Debt Collection, Consumer Loan, and ...

ABSTRACT: Pregnancy presents a unique clinical scenario where the safety of pharmacological interventions is of paramount importance. The potential teratogenic risks associated with drug intake during ...