What counts as a large cosine similarity?

Machine learning represents words as vectors and measures the similarity of words by the angles between the vectors. For vectors x and y, where θ is the angle between the vectors, and so This is the cosine similarity between the words represented by x and y. Small angles have large cosines, and so words with larger cosine similarities are closer together than words with smaller cosine similarities