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Python 3 Text Processing with NLTK 3 Cookbook

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

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Product type Paperback
Published in Aug 2014
Publisher
ISBN-13 9781782167853
Length 304 pages
Edition 2nd Edition
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Author (1):
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Jacob Perkins Jacob Perkins
Author Profile Icon Jacob Perkins
Jacob Perkins
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Toc

Table of Contents (12) Chapters Close

Preface 1. Tokenizing Text and WordNet Basics FREE CHAPTER 2. Replacing and Correcting Words 3. Creating Custom Corpora 4. Part-of-speech Tagging 5. Extracting Chunks 6. Transforming Chunks and Trees 7. Text Classification 8. Distributed Processing and Handling Large Datasets 9. Parsing Specific Data Types A. Penn Treebank Part-of-speech Tags
Index

Conventions

In this book, you will find a number of styles of text that distinguish between different kinds of information. Here are some examples of these styles, and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "The sent_tokenize function uses an instance of PunktSentenceTokenizer from the nltk.tokenize.punkt module."

A block of code is set as follows:

>>> from nltk.tokenize import sent_tokenize
>>> sent_tokenize(para)
['Hello World.', "It's good to see you.", 'Thanks for buying this book.']

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

>>> doc.make_links_absolute('http://hello')
>>> abslinks = list(doc.iterlinks())
>>> (el, attr, link, pos) = abslinks[0]
>>> link
'http://hello/world'

Any command-line input or output is written as follows:

$ python train_chunker.py treebank_chunk

New terms and important words are shown in bold. Words that you see on the screen, in menus or dialog boxes for example, appear in the text like this: "Luckily, this will produce an exception with the message 'DictVectorizer' object has no attribute 'vocabulary_'".

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.

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