Repo · Data & extraction
book-aurora
Hey friends! I just started playing with Jev, asked it to read Mary Shelley’s Frankenstein and score each passage across 9 emotions, plus overall…
Open github.com ↗How builders describe it
Hey friends! I just started playing with Jev, asked it to read Mary Shelley’s Frankenstein and score each passage across 9 emotions, plus overall intensity. Jev finished the task in 24.7 seconds, reading 601 passages, making 6,010 decisions for a total cost of $0.0337. Pretty fun. Code is here
The decision Jev makes
Keep or drop a row, assign a label, or select one field value at a time.
Where it fits
Putting Jev next to the data: filtering rows with plain-English conditions, classifying records, labelling datasets and pulling structure out of text one small decision at a time. All 61 data & extraction projects →
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