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Hands-On Natural Language Processing with Python by Rajalingappaa Shanmugamani, Rajesh Arumugam

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Word vectors

Word vectors are useful building blocks in many applications. They capture and encode the semantic relationships between words. As a consequence, they lead to the transformation of words into a sequence of numbers, forming a dense vector that is well-suited for training deep learning models. In this chapter, we will take a detailed look at the various approaches to building such semantically useful word embeddings.

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