aralroca/react-text-toxicity
Detect text toxicity in a simple way, using React. Based in a Keras model, loaded with Tensorflow.js.
This helps developers integrate real-time text analysis into web applications to identify potentially toxic language. It takes text input from a user interface and outputs predictions indicating categories of toxicity, along with a confidence score. This is useful for front-end developers building interactive forms, comment sections, or chat features.
No commits in the last 6 months.
Use this if you are a web developer who needs to quickly add toxicity detection capabilities to your React-based web application.
Not ideal if you need to analyze large datasets of text offline or require highly customized toxicity detection models, as this is designed for client-side, real-time use.
Stars
45
Forks
5
Language
JavaScript
License
—
Category
Last pushed
Jan 06, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/aralroca/react-text-toxicity"
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.
DenisIndenbom/AntiToxicBot
AntiToxicBot is a bot that detects toxics in a chat using Data Science and Machine Learning...
bensonruan/Toxic-Comment-Classifier
Toxic-Comment-Classifier
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.