Skip to Main Content
Natural Language Processing with Python and spaCy
book

Natural Language Processing with Python and spaCy

by Yuli Vasiliev
April 2020
Beginner to intermediate content levelBeginner to intermediate
216 pages
5h 23m
English
No Starch Press
Content preview from Natural Language Processing with Python and spaCy

5WORKING WITH WORD VECTORS

Image

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 ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Natural Language Processing with Python

Natural Language Processing with Python

Steven Bird, Ewan Klein, Edward Loper

Publisher Resources

ISBN: 9781098122652