For anybody interested in why this comment says "cosine similarity _or_ dot product", its because the vectors in word embedding models are typically scaled to unit length.

If cos(theta) := A.B / (|A|^2 * |B|^2)

And A and B are normalised, then the denominator is 1, and the RHS is equal to the dot product.