What is the NLP pipeline for central bank sentences?

It crawls docs from 26 banks, splits to sentences, LLM-classifies sentiment (hawk/dove) and topics, aggregates to stances. 225K+ done, daily.

How accurate is classifying central bank sentiment with LLMs?

Bank-specific prompts + double-checks catch 90%+ gotchas like boilerplate. Flags disagreements for review—better than generic tools.

Dashboard at monetary.live tracks hawk/dove ratios live. Promising for algos, but verify vs. economists—no guarantees.

🤖 AI Dev Tools

Central banks drown us in words. One dev's NLP pipeline slices through 225,000 sentences to spot policy shifts—hawkish or dovish, right now.

theAIcatchup Apr 10, 2026 3 min read

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#LLM classification #NLP pipeline #central bank analysis #central bank sentiment #financial NLP #financial sentiment

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Originally reported by dev.to