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Python 3 Text Processing with NLTK 3 Cookbook

You're reading from  Python 3 Text Processing with NLTK 3 Cookbook

Product type Book
Published in Aug 2014
Publisher
ISBN-13 9781782167853
Pages 304 pages
Edition 1st Edition
Languages
Author (1):
Jacob Perkins Jacob Perkins
Profile icon Jacob Perkins

Table of Contents (17) Chapters

Python 3 Text Processing with NLTK 3 Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Tokenizing Text and WordNet Basics Replacing and Correcting Words Creating Custom Corpora Part-of-speech Tagging Extracting Chunks Transforming Chunks and Trees Text Classification Distributed Processing and Handling Large Datasets Parsing Specific Data Types Penn Treebank Part-of-speech Tags
Index

Extracting URLs from HTML with lxml


A common task when parsing HTML is extracting links. This is one of the core functions of every general web crawler. There are a number of Python libraries for parsing HTML, and lxml is one of the best. As you'll see, it comes with some great helper functions geared specifically towards link extraction.

Getting ready

lxml is a Python binding for the C libraries libxml2 and libxslt. This makes it a very fast XML and HTML parsing library, while still being Pythonic. But that also means you need to install the C libraries for it to work. Installation instructions are available at http://lxml.de/installation.html. But if you're running Ubuntu Linux, installation is as easy as sudo apt-get install python-lxml. You can also try doing pip install lxml. The latest version as of this writing is 3.3.5.

How to do it...

lxml comes with an html module designed specifically for parsing HTML. Using the fromstring() function, we can parse an HTML string and get a list of...

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