• Title: Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit
• Author(s) Steven Bird, Ewan Klein, Edward Loper
• Publisher: O'Reilly Media, 1 edition (July 7, 2009); eBook (Creative Commons Licensed, 2015)
• License(s): CC BY-NC-ND 3.0 US
• Paperback: 512 pages
• eBook: HTML and PDF
• Language: English
• ISBN-10: 0596516495
• ISBN-13: 978-0596516499
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Book Description

This online version of the Natural Language Toolkit (NLTK) book is updated for Python 3 and NLTK 3 on 2015.

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation.

With this book, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.

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• Computational Linguistics and Natural Language Processing (NLP)
• Python Programming
• Machine Learning
• Deep Learning and Neural Networks

• Natural Language Processing with Python (Steven Bird, et al)
• The Mirror Site (1) - HTML
• The Mirror Site (2) - PDF
• The Mirror Site (3) - PDF

• Hands-On Natural Language Processing with Python
• Natural Language Processing Succinctly (Joseph Booth)
• Natural Language Processing for the Working Programmer (Daniel de Kok, et al)