Comparing Toxic Texts with Transformers

This library can detect toxicity in the text or string or content and in return provide you the toxicity percentage in text or content with toxic words found in text.

Measure and mitigate gender bias in Danish toxicity classifiers and sentiment analysis models.

Toxicity detection in a conversation or phases.

Detecting Toxic comments using machine learning

Telegram bot that detects toxic comments based on Perspective API

BadFilter.js to the rescue! We’ve crafted a supercharged, customizable solution that helps developers filter out inappropriate words like a pro. Let's make the internet a friendlier place one word at a time!

This is a application to analyse toxicity in social media using BERT and context analysis and aims to reduce toxicity

In-game Toxic Language Detection: Shared Task and Attention Residuals

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 features an LLM-based moderation system designed for game audio and text chats. By implementing toxicity moderation, it enhances the online interaction experience for gamers, improving player retention by minimizing adverse negative experiences in games such as Valorant and Overwatch. Ultimately reducing manual moderation costs.

project for ms_system_design

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An anti-toxicity Discord bot to ease moderation.

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

This demo shows the functionality of the Voximplant instant messaging SDK, including silent supervision by a bot.

This work focuses on the development of machine learning models, in particular neural networks and SVM, where they can detect toxicity in comments. The topics we will be dealing with: a) Cost-sensitive learning, b) Class imbalance

An Explainable Toxicity detector for code review comments. Published in ESEM'2023

NLP deep learning model for multilingual toxicity detection in text 📚

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