3 ms·
> Aren't we losing a lot of precision from word2vec results? Not really, because the vectors are really high-dimensional, and the words that occur in the same
by guidopallemans 10y ago
> Aren't we losing a lot of precision from word2vec results?
Not really, because the vectors are really high-dimensional, and the words that occur in the same headline together usually aren't close together.
So it's not really losing precision, it's more like combining the meanings of the words (numerically).