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kenon

Semantic and co-occurrence graphs for midsized texts.

Kenon builds weighted graphs from text using corpus-internal statistics only. No neural models or external training data required.

Core concepts

  • Co-occurrence graphs: Tokens as nodes, skip-gram window co-occurrence as edges
  • Semantic graphs: Tokens as nodes, cosine similarity from embeddings as edges
  • Backbone extraction: Disparity filter to keep only statistically significant edges

Made by Crow Intelligence