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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

Summary

In this chapter, you have learned ways to collect data by scraping web pages. Moreover, you were introduced to various types of semi-structured data formats, namely JSON and XML. Different ways of retrieving data in real time from a website such as Twitter have been explained with examples. Finally, you were introduced to various methods to deal with different kinds of local files, such as PDF, Word documents, text files, and Excel files.

In the next chapter, you will learn about topic modeling, which is an unsupervised natural language processing technique. It helps in grouping the documents according to the topic detected in them.

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