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Python Text Processing with NLTK 2.0 Cookbook

Python Text Processing with NLTK 2.0 Cookbook [Kindle Edition]

Jacob Perkins
4.0 out of 5 stars  See all reviews (2 customer reviews)

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Product Description


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

Product Description

The learn-by-doing approach of this book will enable you to dive right into the heart of text processing from the very first page. Each recipe is carefully designed to fulfill your appetite for Natural Language Processing. Packed with numerous illustrative examples and code samples, it will make the task of using the NLTK for Natural Language Processing easy and straightforward. This book is for Python programmers who want to quickly get to grips with using the NLTK for Natural Language Processing. Familiarity with basic text processing concepts is required. Programmers experienced in the NLTK will also find it useful. Students of linguistics will find it invaluable.

Product details

  • Format: Kindle Edition
  • File Size: 1250 KB
  • Print Length: 256 pages
  • Publisher: Packt Publishing (9 Nov 2010)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ISBN-10: 1849513619
  • ISBN-13: 978-1849513616
  • ASIN: B0057EUS5Q
  • Text-to-Speech: Enabled
  • X-Ray:
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Bestsellers Rank: #380,724 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Most Helpful Customer Reviews
1 of 1 people found the following review helpful
4.0 out of 5 stars Excellent cookbook for NLTK 30 Jan 2011
This is an excellent cookbook for Python's NLTK 2.0 module. Despite having used NLTK over the years I still found lots of useful recipes (and a whole pile of things I didn't know). Jacob also introduces external tools like Redis, MongoDB, execnet (for distributed computation) and dateutil (a wonderfully powerful datetime parser).

Disclosure - I was sent a copy of the book for review (unpaid, just a free copy as I've reviewed other Python books). This review represents my opinion and isn't influenced by Packt.

Early topics in the book include the cleaning and preparation of text, later classifiers are trained to solve specific problems and large scale computation (using Redis and execnet) is introduced.

There's a longer review broken down by chapters on my blog (google for 'ozsvald' and the book's title) if you want more detail. The blog review includes links to wikipedia and project sites for many of the topics covered in the book.
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4.0 out of 5 stars very useful, but 17 Nov 2013
Format:Paperback|Verified Purchase
I haven't yet used this book for serious development, but it covers systematically the NLTK facilities that I will use. I have hedged my bets by also buying the O'Reilly book on NLKT, but this looks a less useful and will be used as a secondary source. What is is missing for me is any comprehensive listing of all the facilities available within NLTK and I will have to look elsewhere for that.
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Most Helpful Customer Reviews on (beta) 3.9 out of 5 stars  7 reviews
8 of 8 people found the following review helpful
5.0 out of 5 stars Easier to implement than "Natural Language Processing with Python" 15 Mar 2012
By hellopenguin - Published on
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.
1 of 1 people found the following review helpful
4.0 out of 5 stars Useful examples 25 Dec 2012
By Crabby Techie - Published on
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.
1 of 1 people found the following review helpful
5.0 out of 5 stars Very practical book 6 Dec 2011
By Junling Hu - Published on
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.
4.0 out of 5 stars Nice crisp presentation of basic NLTK tools and design patterns ... 1 Aug 2014
By R. M. Adler - Published on
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.
4.0 out of 5 stars Good book on text processing 23 April 2013
By JoeT - Published on
Format:Paperback|Verified Purchase
First off, you better have some idea on how to run python. I use pearl and php regularly and had only a smattering of python knowledge, so the setup was not cookbook. Once I got past that, the code on the supplied CD worked as advertised. Good intro to text processing. However, if you want to understand what's really going on, you will need to understand python code in depth, in my opinion.
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