International Journal of Progressive Research in Engineering Management and Science
(Peer-Reviewed, Open Access, Fully Referred International Journal)
ISSN:2583-1062
www.ijprems.com
editor@ijprems.com or Whatsapp at (+91-9098855509)
www.ijprems.com
editor@ijprems.com or Whatsapp at (+91-9098855509)


Paper Details
Empowering Online Safety with Advanced Comment Toxicity Detection Using Machine Learning (KEY IJP************981)
Abstract
Abstract- Online communication platforms are meant for connection and collaboration, but some misuse them to spread hate and abuse. With the surge in online interactions, manually filtering hateful content becomes nearly impossible. To combat this, we aim to use text mining and logistic regression, a type of machine learning algorithm, for binary classification to identify and filter out hate speech. Our model achieves high precision, recall, and accuracy in classifying comments as toxic or non-toxic, making social media cleaner and safer.Index Terms- Hate Speech Detection, Logistic regression ,Deep Learning, Text Mining, Toxicity Classification