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

Product typeBook
Published inAug 2014
Reading LevelBeginner
Publisher
ISBN-139781782167853
Edition1st Edition
Languages
Python
Tools
NLTK
Concepts
Data Processing
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Author (1)
Jacob Perkins
Jacob Perkins
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Jacob Perkins

Jacob Perkins is the cofounder and CTO of Weotta, a local search company. Weotta uses NLP and machine learning to create powerful and easy-to-use natural language search for what to do and where to go. He is the author of Python Text Processing with NLTK 2.0 Cookbook, Packt Publishing, and has contributed a chapter to the Bad Data Handbook, O'Reilly Media. He writes about NLTK, Python, and other technology topics at http://streamhacker.com. To demonstrate the capabilities of NLTK and natural language processing, he developed http://text-processing.com, which provides simple demos and NLP APIs for commercial use. He has contributed to various open source projects, including NLTK, and created NLTK-Trainer to simplify the process of training NLTK models. For more information, visit https://github.com/japerk/nltk-trainer.
Read more about Jacob Perkins

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Converting HTML entities with BeautifulSoup

HTML entities are strings such as "&amp;" or "&lt;". These are encodings of normal ASCII characters that have special uses in HTML. For example, "&lt;" is the entity for "<", but you can't just have "<" within HTML tags because it is the beginning character for an HTML tag, hence the need to escape it and define the "&lt;" entity. "&amp;" is the entity code for "&", which as we've just seen is the beginning character for an entity code. If you need to process the text within an HTML document, then you'll want to convert these entities back to their normal characters so you can recognize them and handle them appropriately.

Getting ready

You'll need to install BeautifulSoup, which you should be able to do with sudo pip install beautifulsoup4 or sudo easy_install beautifulsoup4. You can read more about BeautifulSoup at http://www.crummy.com/software/BeautifulSoup/.

How to do it...

BeautifulSoup is an HTML parser library...

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Python 3 Text Processing with NLTK 3 Cookbook
Published in: Aug 2014Publisher: ISBN-13: 9781782167853
© 2014 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Jacob Perkins

Jacob Perkins is the cofounder and CTO of Weotta, a local search company. Weotta uses NLP and machine learning to create powerful and easy-to-use natural language search for what to do and where to go. He is the author of Python Text Processing with NLTK 2.0 Cookbook, Packt Publishing, and has contributed a chapter to the Bad Data Handbook, O'Reilly Media. He writes about NLTK, Python, and other technology topics at http://streamhacker.com. To demonstrate the capabilities of NLTK and natural language processing, he developed http://text-processing.com, which provides simple demos and NLP APIs for commercial use. He has contributed to various open source projects, including NLTK, and created NLTK-Trainer to simplify the process of training NLTK models. For more information, visit https://github.com/japerk/nltk-trainer.
Read more about Jacob Perkins

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