hate-speech-detection

Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers.

The world's largest social media toxicity dataset.

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.

[LREC-COLING 2024] Polish Dataset of Banned Harmful and Offensive Content from Wykop.pl web service

A web-app to identify toxic comments in a youtube channel and delete them.

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

Dataset for identifying potential hates (e.g., political, religious, personal, gender abusive, geopolitical, etc.) for under-resourced Bengali language.

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

Improving Indonesian text classification using multilingual language model

A Nostr relay docker image package which filter content based on content type (SFW/NSFW), user type, language, hate speech (toxic comment), sentiment, topic, and various rules.

Repository for the paper "RTP-LX: Can LLMs Evaluate Toxicity in Multilingual Scenarios?"

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

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

Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network

A rule based Hate Speech Detector for Hindi

Multi-Modal Hate Speech Detection using Deep Learning.

Developing a classification model to detect hate tweets ready for deployment using various NLP techniques

Developing a classifier to detect instances of racism and xenophobia in English sentences

🛡️ BERT-based hate speech detector for social media. Fine-tuned on the Ethos dataset, outperforming RNN/LSTM. Deployment via Web App and API.

This repository is related to all about Machine Learning, Deep Learning, Computer Vision, NLP, and Research Projects