Word embedding is the numerical representation of words that is used to enhance search by capturing semantic links between words and improving understanding of textual material. They can be represented as dense vectors in a continuous vector space using a variety of methods, the most common of which being Word2Vec, which is trained on large text corpora which increase the relevance of user search functionality....
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