Python Text Processing with NLTK 2.0 Cookbook is a new book from Packt aimed at Python programmers who want to quickly get to grips with using the NLTK to maximize their Natural Language Processing capabilities. Written by Jacob Perkins, this book cuts short the preamble and readers are able to dive right into the science of text processing with a practical hands-on approach.
Natural Language Toolkit or NLTK is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for the Python programming language. NLTK includes graphical demonstrations and sample data. NLTK has been used successfully as a teaching tool, as an individual study tool, and as a platform for prototyping and building research systems.
Python Text Processing with NLTK 2.0 Cookbook will teach programmers to tokenize words into lists of sentences and words, gain an insight into WordNet and all the features of Stemming and Lemmatization. They will understand the advanced features of corpus readers and would be able to create their own custom corpora for JSON files as well as for data stored in MongoDB. They will also learn how to transform and manipulate chunks and trees, tag different parts of speech, and improve accuracy by combining multiple part-of-speech taggers.
Using the book, readers will learn how machines and crawlers interpret and process natural languages, make their site more discoverable by automatically replacing words with more searched equivalents. Towards the end of the book, they will be able to easily work with huge amounts of data and handle distributed processing.
Packed with numerous illustrative examples, code samples and a learn-by-doing approach, this book is ideal for Python programmers as well as programmers experienced in the NLKT. This book is out now and available from Packt. For more information please visit: www.PacktPub.com/python-text-processing-with-nltk-2-0-cookbook/book
|Python Text Processing with NLTK 2.0 Cookbook|
| Use Python's NLTK suite of libraries to maximize your Natural Language Processing capabilities.
For more information, please visit: https://www.packtpub.com/python-text-processing-with-nltk-2-0-cookbook/book