Hate Speech Detection

Implemented a Decision Tree Classifier to detect and classify hate speech in text, leveraging Natural Language Processing (NLP) for preprocessing and model training. Evaluated performance using metrics like accuracy, precision, recall, and F1-score. This project offers a solution for identifying and moderating hate speech on online platforms, contributing to safer digital environments. Tools used include Python, NLP, and Machine Learning. Code snippet below demonstrates text preprocessing for the hate speech detection system.