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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

Even Easier Scraping!

In the previous chapter, we covered the basics of web scraping, which is the act of harvesting data from the web for your uses and projects. In this chapter, we will explore even easier approaches to web scraping and will also introduce you to social media scraping. The previous chapter was very long, as we had a lot to cover, from defining scraping to explaining how the Natural Language Toolkit (NLTK), the Requests library, and BeautifulSoup can be used to collect web data. I will show simpler approaches to getting useful text data with less cleaning involved. Keep in mind that these easier ways do not necessarily replace what was explained in the previous chapter. When working with data or in software projects and things do not immediately work out, it is useful to have options. But for now, we’re going to push forward with a simpler approach to scraping web content, as well as giving an introduction to scraping social media text.

First, we will cover...

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