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.

AntiToxicBot is a bot that detects toxics in a chat using Data Science and Machine Learning technologies. The bot will warn admins about toxic users. Also, the admin can allow the bot to ban toxics.

This repository contains the code for the paper: "DeToxy: A Large-Scale Multimodal Dataset for Toxicity Classification in Spoken Utterances"

A supervised learning based tool to identify toxic code review comments

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

Voice safety classifier

In this project we have tried to do multi-label hate-speech classification in Bengali and Hindi language using fill-mask transformer models.

This repository contains code for the paper: Cisco at SemEval-2021 Task 5: What’s Toxic?: Leveraging Transformers for Multiple Toxic Span Extraction from Online Comments

A revolutionary AI-powered platform to help you solve doubts instantly, make learning easy, and achieve academic success.

Streams block game

NLP deep learning model for multilingual toxicity detection in text 📚

A code solution to the Kaggle competition by using basic classifications techniques.

A REST API for detecting toxicity in a sentence. Using Tensorflow.js in the backend to detect parameters like identity_attack, insult, obscene, severe_toxicity, sexual_explicit, threat.

Exploring toxicity classification using Naive Bayes and LSTM models, addressing class imbalance through strategic data selection and undersampling, and ultimately refining performance with LLaMA 7B 4. This project showcases the evolution from basic to advanced models to tackle nuanced text classification challenges.

The repo contains notebooks for the Jigsaw Unintend Bias in Toxicity Classification contest hosted on Kaggle

Build a model to identify toxic statements and reduce bias in classification

It is a trained Deep Learning model to predict different level of toxic comments. Toxicity like threats, obscenity, insults, and identity-based hate.

This repository makes available a new dataset for toxicity detection in Brazilian Portuguese from the work accepted by the 16th International Conference on Computational Processing of Portuguese (PROPOR 2024). The data collected is from the most popular Brazilian subreddits in 2022.

Toxic comment classification using Tensorflow and react.js