Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

A fast, robust Python library to check for offensive language in strings.

NLP model that uses Machine Learning to detect offensive tweets, and classify it's target.

✅ CODAR is a framework built using PyTorch to analyze post (Text+Media) and predict cyber bullying and offensive content.

Classifying hate speech with deep learning (honors thesis 2017-18)

A Python package to compute HONEST, a score to measure hurtful sentence completions in language models. Published at NAACL 2021.

This is a repository for AfriHate Project

KAREN: Unifying Hatespeech Detection and Benchmarking

Arabic hate speech data

EACL 2021 paper (SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification)

Contains code for a voting classifier that is part of an ensemble learning model for tweet classification (which includes an LSTM, a bayesian model and a proximity model) and a system for weighted voting

Trained Neural Networks (LSTM, HybridCNN/LSTM, PyramidCNN, Transformers, etc.) & comparison for the task of Hate Speech Detection on the OLID Dataset (Tweets).

Hate Speech sentiment detection

한국어 욕설, 비속어, 혐오 표현(offensive language) 관련 데이터셋, 라이브러리, API를 모아놓은 리소스 저장소

This repository contains the system description and the codes that we implemented for participating in EACL-2021 shared tasks.

A GitHub action that monitors PR/issue comments and warns senders who used offensive language.

Dutch abusive language data

Code for replicating the results of "HateMonitors" at HASOC 2019

🤬🤭 Is Offensive Helper Function - Check if a string contains offensive words or variations of them