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Graph Machine Learning

You're reading from   Graph Machine Learning Take graph data to the next level by applying machine learning techniques and algorithms

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Product type Paperback
Published in Jun 2021
Publisher Packt
ISBN-13 9781800204492
Length 338 pages
Edition 1st Edition
Languages
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Authors (3):
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Aldo Marzullo Aldo Marzullo
Author Profile Icon Aldo Marzullo
Aldo Marzullo
Claudio Stamile Claudio Stamile
Author Profile Icon Claudio Stamile
Claudio Stamile
Enrico Deusebio Enrico Deusebio
Author Profile Icon Enrico Deusebio
Enrico Deusebio
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Toc

Table of Contents (15) Chapters Close

Preface 1. Section 1 – Introduction to Graph Machine Learning
2. Chapter 1: Getting Started with Graphs FREE CHAPTER 3. Chapter 2: Graph Machine Learning 4. Section 2 – Machine Learning on Graphs
5. Chapter 3: Unsupervised Graph Learning 6. Chapter 4: Supervised Graph Learning 7. Chapter 5: Problems with Machine Learning on Graphs 8. Section 3 – Advanced Applications of Graph Machine Learning
9. Chapter 6: Social Network Graphs 10. Chapter 7: Text Analytics and Natural Language Processing Using Graphs 11. Chapter 8:Graph Analysis for Credit Card Transactions 12. Chapter 9: Building a Data-Driven Graph-Powered Application 13. Chapter 10: Novel Trends on Graphs 14. Other Books You May Enjoy

Chapter 7: Text Analytics and Natural Language Processing Using Graphs

Nowadays, a vast amount of information is available in the form of text in terms of natural written language. The very same book you are reading right now is one such example. The news you read every morning, the tweets or the Facebook posts you sent/read earlier, the reports you write for a school assignment, the emails we write continuously – these are all examples of information we exchange via written documents and text. It is undoubtedly the most common way of indirect interaction, as opposed to direct interaction such as talking or gesticulating. It is, therefore, crucial to be able to leverage such kinds of information and extract insights from documents and texts.

The vast amount of information present nowadays in this form has determined the great development and recent advances in the field of natural language processing (NLP).

In this chapter, we will show you how to process natural language...

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