karan842/comment-toxicity
Created a Flask API🚀 which can detect toxicity in comment(text)💭 using NLP-BERT🤖. Following MLOps lifecycle🔁 to deploy ML system in production🌱
This project helps online platforms and community managers automatically identify and filter harmful content. By inputting comments or text, the system determines if they contain toxicity across various categories like insults or threats. It's designed for anyone managing user-generated content, such as social media moderators or website administrators.
No commits in the last 6 months.
Use this if you need to automatically detect and flag toxic comments on your online platform to maintain a safe and respectful environment.
Not ideal if you need to moderate content beyond text, such as images or videos, or require nuanced human-in-the-loop review processes.
Stars
14
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 23, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/karan842/comment-toxicity"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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