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These algorithms create a vector for each word and the cosine similarity among them represents semantic similarity among the words. In the case of the average vectors among the sentences. A good starting point for knowing more about these methods is this paper: How Well Sentence Embeddings Capture Meaning. It discusses some sentence embedding ...
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