Amazon SageMaker Blazing Text implementation of the Word2Vec Algorithm can now be utilized for generating word embeddings from a large number of documents. Word embeddings represent each word from the entire collection or text documents as the vector of numbers. Words that are similar will have same vectors where words that are not similar will be wide apart. Word2Vec is successfully used for a task like segmentation and recommendation. Amazon SageMaker’s Blazing Text implementation has been developed with speed and scale in mind to make embedding very fast by using CPU or GPU hardware.
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