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Natural Language Annotation for Machine Learning
Publisher: O'Reilly Media, Inc.
Pub. Date: October 25, 2012
Print ISBN-13: 978-1-4493-0666-3
Pages in Print Edition: 342
Subscriber Rating:
1 [1 Rating] Subscriber Reviews
Overview
Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle—the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don’t need any programming or linguistics experience to get started.
Subscriber Reviews
Average Rating: 
Based on 1 Rating
"Good reference, bad typesetting" - by mittenchops on 03-FEB-2013
Reviewer Rating:
This looks like a fascinating and useful text, but the online Safari text is just a wall of text with uninterpreted markup. You're stuck trying to make sense of python code without indentation, formulas that still look like quasi-TeX.
The electronic version is unfortunately unreadable, which is a shame because the few pages I could make through looked very promising. Try the hard copy. I'd love to see O'Reilly fix this and bring this text to Safari-readers.
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