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Network Science with Python

You're reading from   Network Science with Python Explore the networks around us using network science, social network analysis, and machine learning

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781801073691
Length 414 pages
Edition 1st Edition
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Author (1):
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David Knickerbocker David Knickerbocker
Author Profile Icon David Knickerbocker
David Knickerbocker
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Table of Contents (17) Chapters Close

Preface 1. Part 1: Getting Started with Natural Language Processing and Networks
2. Chapter 1: Introducing Natural Language Processing FREE CHAPTER 3. Chapter 2: Network Analysis 4. Chapter 3: Useful Python Libraries 5. Part 2: Graph Construction and Cleanup
6. Chapter 4: NLP and Network Synergy 7. Chapter 5: Even Easier Scraping! 8. Chapter 6: Graph Construction and Cleaning 9. Part 3: Network Science and Social Network Analysis
10. Chapter 7: Whole Network Analysis 11. Chapter 8: Egocentric Network Analysis 12. Chapter 9: Community Detection 13. Chapter 10: Supervised Machine Learning on Network Data 14. Chapter 11: Unsupervised Machine Learning on Network Data 15. Index 16. Other Books You May Enjoy

Why are we learning about NLP in a network book?

I briefly answered this question in the introduction of the first chapter, but it is worth repeating in more detail. Many people who work on text analysis are aware of sentiment analysis and text classification. Text classification is the ability to predict whether a piece of text can be classified as something. For example, let’s take this string:

How are you doing today?

What can we tell about this string? Is it a question or a statement? It’s a question. Who is being asked this question? You are. Is there a positive, negative, or neutral emotion tied to the question? It looks neutral to me. Let’s try another string.

Jack and Jill went up the hill, but Jack fell down because he is an idiot.

This is a statement about Jack and Jill, and Jack is being called an idiot, which is not a very nice thing to say. However, it seems like the insult was written jokingly, so it is...

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