Note: This tutorial is based on Efficient Estimation of Word Representations in Vector Space and ![]() Embeddings learned through Word2Vec have proven to be successful on a variety of downstream natural language processing tasks. ![]() ![]() Word2Vec is not a singular algorithm, rather, it is a family of model architectures and optimizations that can be used to learn word embeddings from large datasets.
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