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.

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

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

The world's largest social media toxicity dataset.

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

Improving Indonesian text classification using multilingual language model

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

Useful resources for hate speech detection in Spanish

Multimodal Misogyny Detection - SemEval 2022 - MAMI Challenge

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

A rule based Hate Speech Detector for Hindi

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

We are building solutions to stop harrashment and hate speech in online voice communication

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

Resources for CSoNet-2021 paper: Detecting Hate Speech Contents Using Embedding Models

Hate Speech and Offensive Content Identification in Indo-European Languages

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

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

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

Code for 3 papers: 1) "Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets"; 2) "LT3 at SemEval-2022 Task 6: Fuzzy-Rough Nearest neighbor Classification for Sarcasm Detection"; 3) "Fuzzy Rough Nearest Neighbour Methods for Detecting Emotions, Hate Speech and Irony" by O. Kaminska, Ch. Cornelis and V. Hoste.