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2 parents 3303f0d + dc0b2dc commit 0eec7faCopy full SHA for 0eec7fa
beginner_source/nlp/word_embeddings_tutorial.py
@@ -93,7 +93,7 @@
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.. math::
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\text{Similarity}(\text{physicist}, \text{mathematician}) = \frac{q_\text{physicist} \cdot q_\text{mathematician}}
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- {\| q_\text{\physicist} \| \| q_\text{mathematician} \|} = \cos (\phi)
+ {\| q_\text{physicist} \| \| q_\text{mathematician} \|} = \cos (\phi)
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Where :math:`\phi` is the angle between the two vectors. That way,
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extremely similar words (words whose embeddings point in the same
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