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Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary.ai.
This repository contains the dataset and implementation details of the paper "An In-depth Analysis of Implicit and Subtle Hate Speech Messages" accepted at EACL 2023.
Empower online spaces with TextSecureAI – an innovative Cyberbullying Detection project. Utilizing advanced sentiment analysis, Naive Bayes, and SVM, this system ensures swift identification of hate speech on Twitter. Achieving 95% precision, it's a formidable guardian against online toxicity. Join us in creating a safer digital world! 🌐🛡️
Training code and public data for the paper "A Legal Approach to Hate Speech - Operationalizing the EU's Legal Framework against the Expression of Hatred as an NLP Task"