5WORKING WITH WORD VECTORS
Word vectors are the series of real numbers that represent the meanings of natural language words. As you learned in Chapter 1, they allow machines to understand human language. In this chapter, you’ll use word vectors to calculate the semantic similarity of different texts, which will allow you to, for example, classify those texts based on the topics they cover.
You’ll start by taking a conceptual look at word vectors so you can get an idea of how to mathematically calculate the semantic similarity between the words represented in the form of vectors. Then you’ll learn how machine learning algorithms generate the word ...
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