A supervised learning based tool to identify toxic code review comments

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Detecting Toxic comments using machine learning

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.

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

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

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

An anti-toxicity Discord bot to ease moderation.

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

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

Comparing Toxic Texts with Transformers

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

project for ms_system_design

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

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.

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

Telegram bot that detects toxic comments based on Perspective API

Toxicity detection in a conversation or phases.