Hazrat-Ali9/Multi-Label-Toxic-Comment-Detection-With-Deep-Learning
🪣 Multi 🧰 Label 📒 Toxic 📓 Comment 📘 Detection 📙 Deep 📔 Learning 📚 is an NLP ☎ designed to 📹 automatically ⚽ detect 🏈 classify ⚾ toxic 🥎 comments 🏀 into ⛸ multiple 📟 categories ✈ such as toxic 🚀 severe 🚁obscene 🛬 threat ⛴ insult 🚟 identity 🛸 deep 🚞 models it 🚃 helps build 🛼 inclusive 🚂 communities 🏰 by filtering 🏘 harmful 🥋
No commits in the last 6 months.
Stars
40
Forks
—
Language
—
License
—
Category
Last pushed
Sep 13, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Hazrat-Ali9/Multi-Label-Toxic-Comment-Detection-With-Deep-Learning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
zake7749/DeepToxic
top 1% solution to toxic comment classification challenge on Kaggle.
aralroca/react-text-toxicity
Detect text toxicity in a simple way, using React. Based in a Keras model, loaded with Tensorflow.js.
charliegerard/safe-space
Github action that checks the toxicity level of comments and PR reviews to help make repos safe spaces.
jaydeepjethwa/DeTox
A web-app to identify toxic comments in a youtube channel and delete them.
DenisIndenbom/AntiToxicBot
AntiToxicBot is a bot that detects toxics in a chat using Data Science and Machine Learning...