I am trying to filter global feed with machine learning, specifically wink NLP bayes filter. My problem is that big long posts score better than short posts. Anyone know how to solve that problem? Suggested books or articles? .
I've been blocking nostr keys and training a wink nlp model to filter out bitcoin shilling and other noise in the global feed. The model is here: blocked keys here: scored, filtered feed is here: . You can train your own.
Today I'm using cafe-society.news/nostrposts to downvote and suppress the surge of trump/carlson articles. Not something I want the relay to do.
I added trained model to to suppress bitcoin shilling, purple pilling, and naughty parts in the global channel. (Let that sink in please) More training required, but really good start on self-sovereign content filtering. If you prefer more naughty, just clear out the setting and retrain. Next step is to fix whatever is wrong on ios and way more polish.