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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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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

Collecting Data by Scraping Web Pages

The process of gathering data from web pages and extracting information from them is known as web scraping. More than 85% of websites are created using HTML, that is, Hypertext Markup Language. A markup language is one in which text content is embedded between tags. Apart from this, additional information can be added by using attributes within tags. A web page can be considered to be a document written using HTML. Thus, we need to know the basics of HTML to scrape web pages effectively. The following figure depicts the contents that are included within an HTML tag:

Figure 4.1: Tags and attributes of HTML

As you can see in the preceding figure, we can easily identify different elements within an HTML tag. In the next section, we will walk through an exercise in which we'll extract tag-based information from HTML files.

Exercise 40: Extraction of Tag-Based Information from HTML Files

In this exercise, we will...

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