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Natural Language Processing Fundamentals

You're reading from   Natural Language Processing Fundamentals Build intelligent applications that can interpret the human language to deliver impactful results

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Product type Paperback
Published in Mar 2019
Publisher
ISBN-13 9781789954043
Length 374 pages
Edition 1st Edition
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Authors (2):
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Dwight Gunning Dwight Gunning
Author Profile Icon Dwight Gunning
Dwight Gunning
Sohom Ghosh Sohom Ghosh
Author Profile Icon Sohom Ghosh
Sohom Ghosh
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Toc

Table of Contents (10) Chapters Close

Preface 1. Introduction to Natural Language Processing FREE CHAPTER 2. Basic Feature Extraction Methods 3. Developing a Text classifier 4. Collecting Text Data from the Web 5. Topic Modeling 6. Text Summarization and Text Generation 7. Vector Representation 8. Sentiment Analysis Appendix

Introduction

In the last chapter, we learned about developing a simple classifier using feature extraction methods. We also covered different algorithms that fall under supervised and unsupervised learning. In this chapter, you will learn about collecting data by scraping web pages and then processing it. You will also learn how to handle various kinds of semi-structured data, such as JSON and XML. We will cover different methods for extracting data using Application Programming Interfaces (APIs). Finally, we will explore different ways to extract data from different types of files.

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