not really, vectorising text/books is old school ML by this point.

at least to me that seems the same as https://en.wikipedia.org/wiki/Word2vec for e.g.

Foobar8568 2 hours ago | parent | next [-]

Well... Everything new is old "A vector space model for automatic indexing" 1975 - https://dl.acm.org/doi/10.1145/361219.361220

	▲	esafak 32 minutes ago \| parent [-]
		I wonder who was doing doing semantic search in the last century! "The future is already here—It's just not very evenly distributed..."

▲

vintermann 2 hours ago | parent | prev [-]

Sure, the idea of making a vector embedding for words, sentences, documents etc. is old, but the meat is in how you construct this embedding. I think embeddings have gotten quite a bit better since word2vec.