A graph-extraction experiment with jev
A user describes scoring words for semantic significance on a 1–5 scale, then using high-scoring words to build a graph.
TLDR
A user tried graph extraction with jev and outlined four steps: score every word for semantic significance from 1 to 5, tag relevant words with IDs, create a unique list of high-scoring words, and build a graph of those words.
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