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.
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 […] The post.
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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 […] The post.
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