Giruvegan/stoneskipping

StoneSkipping model for detecting Chinese camouflaged spam

29
/ 100
Experimental

This project helps e-commerce platforms and content moderators identify highly disguised spam, particularly in Chinese language content. It takes in text data, specifically Chinese character variations that might be used to camouflage spam, and helps classify if content is spam or legitimate. This tool is for trust and safety teams, content moderators, and platform integrity specialists dealing with user-generated content.

No commits in the last 6 months.

Use this if you need to detect sophisticated, camouflaged spam in Chinese text, such as deceptive product reviews or social media posts.

Not ideal if your primary concern is non-Chinese content or basic, easily identifiable spam without character variations.

content-moderation spam-detection e-commerce-security chinese-nlp platform-trust-safety
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 15 / 25

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Last pushed

May 08, 2020

Commits (30d)

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Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Giruvegan/stoneskipping"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.