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eBook Python Text Processing with NLTK 2.0 Cookbook: LITE Edition ePub

by Jacob Perkins

eBook Python Text Processing with NLTK 2.0 Cookbook: LITE Edition ePub
Author: Jacob Perkins
Language: English
ISBN: 1849516383
ISBN13: 978-1849516389
Publisher: Packt Publishing (May 13, 2011)
Pages: 92
Category: Computer Science
Subcategory: Computers
Rating: 4.9
Votes: 351
Formats: mbr docx azw lrf
ePub file: 1334 kb
Fb2 file: 1922 kb

Then I picked up NLTK . Cookbook.

Then I picked up NLTK . 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.

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning. 59 MB·43,576 Downloads·New! challenges you may encounter in your daily work. A Python Book: Beginning Python, Advanced Python, and Python. 3 MB·74,639 Downloads

It will demystify the advanced features of text analysis and text mining using the comprehensive NLTK suite.

ISBN-10: 978-1-84951-36. It will demystify the advanced features of text analysis and text mining using the comprehensive NLTK suite.

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Books related to Python Text Processing with NLTK . Cookbook: LITE.

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. Books related to Python Text Processing with NLTK .

Python Text Processing with NTLK . Cookbook is your handy and illustrative guide, which will walk . oceedings{Perkins2010PythonTP, title {Python Text Processing with NLTK . Cookbook}, author {Jacob Tenor Saxophone Perkins}, year {2010} }.

It will demystify the advanced features of text analysis and text mining using the comprehensive NTLK suite. This book cuts short the preamble and you dive right into the science of text processing with a practical hands-on approach. Jacob Tenor Saxophone Perkins.

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. Familiarity with basic text processing concepts is required.

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Quickly get to grips with Natural Language Processing - with Tokenizing Text, WordNet, and beyond Learn how to replace and correct words to improve search engine results Categorize documents and pieces of text and assign class labels Part of Packt's Cookbook series: Each recipe is a carefully organized sequence of instructions to complete the task as efficiently as possible

In Detail

Natural Language Processing is used everywhere - in search engines, spell checkers, mobile phones, computer games - even your washing machine. Python's Natural Language Toolkit (NLTK) suite of libraries has rapidly emerged as one of the most efficient tools for Natural Language Processing. You want to employ nothing less than the best techniques in Natural Language Processing - and this book is your answer.

Python Text Processing with NLTK 2.0 Cookbook is your handy and illustrative guide, which will walk you through all the Natural Language Processing techniques in a step-by-step manner. It will demystify the advanced features of text analysis and text mining using the comprehensive NLTK suite.

What you will learn from this book

Learn Text categorization and Topic identification Use Stemming and Lemmatization to go beyond the usual spell checker Replace negations with antonyms in your text Tokenize words into lists of sentences and words, and gain an insight into WordNet Train and manipulate different types of classifiers Automatically correct spelling with Enchant Translate text using Babelfish

Approach

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..

Who this book is written for

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.

Ice_One_Guys
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.
Painbrand
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.
ᴜɴɪᴄᴏʀɴ
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.
Haal
Lots of good ideas for examples but the actual listings miss. There are bugs - perhaps due to version differences that errata would help. Also, listings are not standalone so sometimes require searching backward for functions defined earlier in the book.
Anardred
good book
Mot
The book is more a description of the API than a book introducing one to text processing and what you can actually do with it. So if you need a reference book with some samples this might be the right buy. If you want to learn and understand what you can do with NLTK and how to apply the functionality, forget this book.
Minnai
The Look Inside on website has 250 pages, 9 chapters. The print version has 92 pages and only 3 chapters. Something does not compute!
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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