Multilingual drug classification pipeline for darknet market data — 57 granular categories, 5 languages, 98.4% accuracy on 353k listings
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Updated
Jun 1, 2026 - Python
Multilingual drug classification pipeline for darknet market data — 57 granular categories, 5 languages, 98.4% accuracy on 353k listings
PPML gravity model on 353k darknet drug listings. Distance elasticity −1.97; contiguity, common language, and colonial ties all invert sign. MLAT enforcement coordination test: −2.54***.
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