Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit

• Category: Python Programming
• Author: Steven Bird, Ewan Klein, Edward Loper
• License: CC BY-NC-ND 3.0 US
• Pages: 512 pages
• File type: HTML and PDF

Read and download free eBook intituled Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit in format HTML and PDF – 512 pages created by Steven Bird, Ewan Klein, Edward Loper.

This online version of the 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 it, 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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Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit