Semantyra
Resources

Embeddings

Numeric representations of text that place similar meanings close together.

An embedding turns a page or phrase into a vector so that semantically related content sits near it in vector space.

Semantyra uses embeddings (or a lexical fallback) to cluster a site by topic, measure how related two pages are, and build the semantic map.

Related

See this measured on your own site.

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