blakejakopovic/nostr-spam-detection
An experiment in building a machine learning model to label Nostr spam content for filtering and relay rejection.
This project helps Nostr relay operators or developers filter out unwanted content. It takes raw Nostr event content and determines if it's spam or legitimate, outputting a clear label and a spam score. This allows you to automatically reject or flag undesirable messages on your relay.
No commits in the last 6 months.
Use this if you are a Nostr relay operator looking to automatically identify and filter spam events before they hit your users.
Not ideal if you need to detect spam in languages other than Asian languages (for spam) or English (for non-spam), or if your definition of spam differs significantly from recent Nostr spam trends.
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24
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2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 25, 2023
Commits (30d)
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