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Python Text Processing with NLTK 2.0 Cookbook Paperback – November 11, 2010

ISBN-13: 978-1849513609 ISBN-10: 1849513600

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Product Details

  • Paperback: 272 pages
  • Publisher: Packt Publishing (November 11, 2010)
  • Language: English
  • ISBN-10: 1849513600
  • ISBN-13: 978-1849513609
  • Product Dimensions: 7.5 x 0.6 x 9.2 inches
  • Shipping Weight: 1.1 pounds (View shipping rates and policies)
  • Average Customer Review: 3.9 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Best Sellers Rank: #572,792 in Books (See Top 100 in Books)

Editorial Reviews

Review

Overall the book is easy to read, has a huge set of sample recipes and feels very useful --Ian Ozsvald

About the Author

Jacob Perkins

Jacob Perkins has been an avid user of open source software since high school, when he first built his own computer and didn't want to pay for Windows. At one point he had 5 operating systems installed, including RedHat Linux, OpenBSD, and BeOS.

While at Washington University in St. Louis, Jacob took classes in Spanish, poetry writing, and worked on an independent study project that eventually became his Master's Project: WUGLE - a GUI for manipulating logical expressions. In his free time, he wrote the Gnome2 version of Seahorse (a GUI for encryption and key management), which has since been translated into over a dozen languages and is included in the default Gnome distribution.

After getting his MS in Computer Science, Jacob tried to start a web development studio with some friends, but since no-one knew anything about web development, it didn't work out as planned. Once he'd actually learned web development, he went off and co-founded another company called Weotta, which sparked his interest in Machine Learning and Natural Language Processing.This book is a synthesis of his knowledge on processing text using Python, NLTK, and more.


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Customer Reviews

3.9 out of 5 stars
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Most Helpful Customer Reviews

9 of 9 people found the following review helpful By hellopenguin on March 15, 2012
Format: Paperback
I've been coding in perl for more than 10 years, and recently picked up python to do natural language processing. So I am new to both python and NLTK. I started off with the popular "Natural Language Processing with Python" by Bird, Klein, and Loper. I found it hard to follow because the dots were not connected. In that book, I'd read an example, and I *thought* I understood it, but coding it was a different story because there was no transition between the different sections. So I had to go to github to find random sample code using the tools I was interested in.

Then I picked up NLTK 2.0 Cookbook. It doesn't spend much time explaining concepts, but I find I can type the code in pretty much word-for-word (and replace it with my customized needs), and the code works. I find it much more useful, and faster to code using this book as a template. It's limited in the recipes it gives, but provides the main NLTK recipes, so I'm quite happy with it.

Since I had already picked up the Bird book, I knew exactly which recipes I needed. If you don't know which chapters are pertinent to your needs, I could see it being difficult to know which recipes to use because there's not much explanation and the terminology is different if you're new to natural language processing. The terminology and concepts are better explained in the Bird book.

A good book. Worth checking out some sample pages on Amazon to see if the recipes will be useful to you, and if you're finding difficulty implementing what's in the Bird book, this one provides better instructions.
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1 of 1 people found the following review helpful By Amazon Customer on December 24, 2012
Format: Kindle Edition Verified Purchase
I've been working my way through the book as I build a pipeline for tagging & classifying text. The examples are straightforward and useful. It's a good collection of the most common tasks you'll need to do with NLTK.
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1 of 1 people found the following review helpful By Junling Hu on December 6, 2011
Format: Paperback
I found this book to be clear and very well written. All the examples are easy to follow, and the code are ready to use. It is a very practical book. I really want to thank the authors to put all the information together. It's an invaluable service.
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Format: Kindle Edition Verified Purchase
Nice crisp presentation of basic NLTK tools and design patterns for applying them to common NLP problems.
Book presupposes that reader is a competent programmer, but not necessarily fluent in Python.
Format of presenting recipe and then explaining that example provides effective support for coming up
to speed quickly and rapid prototyping of solution strategies.
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