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Hate Speech Classifier
Machine learning model for detecting and classifying hate speech.
Date
2023-Q4
Category
AI/ML
Overview
A sophisticated NLP system designed to identify and classify various forms of hate speech in text content. The model uses transformer-based architecture and was trained on a diverse, multilingual dataset to detect subtle forms of toxicity, bias, and harmful content.
Technologies Used
PythonBERTTransformersPyTorchFastAPIDocker
Key Features
Multi-class hate speech classification
Multilingual support (10+ languages)
Contextual analysis for nuanced detection
Confidence scoring and explanations
REST API for easy integration
Continuous learning pipeline
Challenges
Handling subtle context-dependent hate speech, avoiding false positives, and ensuring fairness across different demographics.
Outcome & Impact
92% accuracy on test set, implemented in moderation systems protecting 50,000+ users.