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Natural Language Processing with Java

You're reading from   Natural Language Processing with Java Techniques for building machine learning and neural network models for NLP

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Product type Paperback
Published in Jul 2018
Publisher
ISBN-13 9781788993494
Length 318 pages
Edition 2nd Edition
Languages
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Authors (2):
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Ashish Bhatia Ashish Bhatia
Author Profile Icon Ashish Bhatia
Ashish Bhatia
Richard M. Reese Richard M. Reese
Author Profile Icon Richard M. Reese
Richard M. Reese
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Table of Contents (14) Chapters Close

Preface 1. Introduction to NLP FREE CHAPTER 2. Finding Parts of Text 3. Finding Sentences 4. Finding People and Things 5. Detecting Part of Speech 6. Representing Text with Features 7. Information Retrieval 8. Classifying Texts and Documents 9. Topic Modeling 10. Using Parsers to Extract Relationships 11. Combined Pipeline 12. Creating a Chatbot 13. Other Books You May Enjoy

Using boilerpipe to extract text from HTML


There are several libraries available for extracting text from HTML documents. We will demonstrate how to use boilerpipe (https://code.google.com/p/boilerpipe/) to perform this operation. This is a flexible API that not only extracts the entire text of an HTML document but can also extract selected parts of an HTML document, such as its title and individual text blocks. We will use the HTML page at http://en.wikipedia.org/wiki/Berlin to illustrate the use of boilerpipe. Part of this page is shown in the following screenshot:

In order to use boilerpipe, you will need to download the binary for the Xerces Parser, which can be found at http://xerces.apache.org/index.html.

We start by creating a URL object that represents this page. We will use two classes to extract text. The first is the HTMLDocument class that represents the HTML document. The second is the TextDocument class that represents the text within an HTML document. It consists of one or more...

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