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.

WhiteLightning distills massive, state-of-the-art language models into lightweight, hyper-efficient text classifiers. It's a command-line tool that lets you create specialized models that run anywhere—from the cloud to the edge—using the universal ONNX format for maximum compatibility.

Polish Dataset of Banned Harmful and Offensive Content from Wykop.pl web service

Resources and tools for the Tutorial - "Hate speech detection, mitigation and beyond" presented at ICWSM 2021

(NeurIPS 2022) Official Implementation of Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification

This is a simple python program which uses a machine learning model to detect toxicity in tweets, GUI in Tkinter.

Ml model to detect hate speech and offensive language

The official code repository for the paper titled "A Federated Approach for Hate Speech Detection" (EACL 2023)

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.

Repository for the paper "ViHateT5: Enhancing Hate Speech Detection in Vietnamese with A Unified Text-to-Text Transformer Model" (ACL'2024 - Findings)

Hierarchical Multi Label Hate Speech and Abusive Language Classification

Zero-Shot Hate Speech classification using prompting. Published at the WOAH workshop (ACL 2023).

An hate-speech-recognizer implemented using three different machine learning algorithms: Naive Bayes, SVM and Random Forest.

A speech act analysis of offensive language in German Tweets - an annotated datatset.

Multimodal Misogyny Detection - SemEval 2022 - MAMI Challenge

This repository contains the implementation details of the paper "Playing the Part of the Sharp Bully: Generating Adversarial Examples for Implicit Hate Speech Detection" accepted at Findings of ACL 2023.

This repository contains data and code used in the paper "A Crosslingual Analysis of Homotransphobia on Twitter" (C3NLP Workshop @ EACL23).

Official repository of HODI, the shared task on Homotransphobia Detection in Italian at Evalita 2023

👮‍♂️ A basic hate speech detection neural network which analyzes sentence sentiment to determine if the content is hateful, offensive, or acceptable.

This project is an end-to-end machine learning pipeline designed to evaluate and clean text data. It leverages technologies such as Python, NLTK for natural language processing, and scikit-learn for machine learning.