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Hellinger distance is usually a metric especially for probability distributions. Since we’ll use LDA to create embeddings to some probability Area, it’s a useful measure.

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We're going to make use of a term embedding product, created on a whole corpus, to challenge the sentences in to the embedding Room. As soon as inside the embedding Room, We're going to measure similarity among documents working with Hellinger distance.

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