@yoheinakajima tried graph extraction with Jev: score every word for semantic significance from 1 to 5, tag relevant words with an ID, then build a unique list and a graph of the high-scoring words.

Yohei (@yoheinakajima) published this on 2026-09-17. @yoheinakajima tried graph extraction with Jev: score every word for semantic significance from 1 to 5, tag relevant words with an ID, then build a unique list and a graph of the high-scoring words. had to try something with jev so i tried what you'd expect from me: graph extraction - score every word with semantic significance (1-5) - also tag relevant words with ID - unique list of high scoring words - graph of high scoring words https://t.co/oJtI6py84H How Jev or TypeSafe is used, in the post's own words: “had to try something with jev so i tried what you'd expect from me: graph extraction - score every word with semantic significance (1-5) - also tag relevant words with ID - unique list of high scoring words - graph of high scoring words https://t.co/oJtI6py84H” The post does not name a separate audience. It is for people reading what @yoheinakajima shows here (it includes media).