HATE SPEECH DETECTION

Abstract

With the pervasive growth of online communication platforms, the rise of hate speech has become a significant concern, necessitating effective tools for its detection and mitigation. This project presents a comprehensive approach to hate speech detection leveraging machine learning techniques. The proposed system integrates natural language processing (NLP) and deep learning algorithms to analyze textual data and identify instances of hate speech.