Popular GitHub Repositories for Hatespeech

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

DeEpLearning models for MultIlingual haTespeech (DELIMIT): Benchmarking multilingual models across 9 languages and 16 datasets.

This is a python project that is used to identify hate speech in tweets. The dataset used to train the model is available on Kaggle and consists of labelled tweets where 1 indicates hate speech tweets and 0 indicates non-hate speech tweets.

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

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

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

KAREN: Unifying Hatespeech Detection and Benchmarking

A nlp framework to find hate speech comments out of a comments corpus.

A contextual approach for detecting hate speech code words

Hierarchical Multi Label Hate Speech and Abusive Language Classification

This repository contains the system description and the codes that we implemented for participating in EACL-2024 Shared Task-5.

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

Created Hate speech detection model using Count Vectorizer & XGBoost Classifier with an Accuracy upto 0.9471, which can be used to predict tweets which are hate or non-hate.

API for detecting hate speech using a Neural Network and Word2Vec

In this project, I focused on benchmarking various machine learning models, deep learning architectures, and fine-tuned BERT-based models to evaluate their performance across multiple metrics