Vector Space Model: Cosine Similarity vs Euclidean Distance

One informal but rather intuitive way to think about this is to consider the 2 components of a vector: direction and magnitude. Direction is the “preference”https://stackoverflow.com/”style”https://stackoverflow.com/”sentiment”https://stackoverflow.com/”latent variable” of the vector, while the magnitude is how strong it is towards that direction. When classifying documents we’d like to categorize them by their overall sentiment, so we … Read more

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