Natural Language Processing with Python

Natural Language Processing with Python
by Steven Bird, Ewan Klein, Edward Loper

Natural Language Processing with Python
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Book Summary Information

Author: Edward Loper, Ewan Klein, Steven Bird
Edition: Paperback
Audio: English (Unknown); English (Original Language); English (Published)
Published: 2009-07-07
ISBN: 0596516495
Number of pages: 512
Publisher: O'Reilly Media

Book Reviews of Natural Language Processing with Python

Book Review: A great book for the practice and experiment of NLP and Text Mining
Summary: 5 Stars

This book is ideal for people who are familiar with NLP and Text Mining and looking for a tool that can help implementing their ideas and doing experiments. Especially, it is a perfect fit for students and faculties doing research in this area. Some may complain what if I don't want to use Python. To my best knowledge and my years of experience in NLP and text mining, NLTK is by far the most complete toolkit for this task. Considering the short learning curve of Pytyon, even if you want to implement something in a different language eventually, it always be good to take a quick look at the data using the NLTK toolkit. Thanks a lot for the great contributions from the authors. I wish I had this book 6 years ago.

Summary of Natural Language Processing with Python

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.

Packed with examples and exercises, Natural Language Processing with Python will help you:

  • Extract information from unstructured text, either to guess the topic or identify "named entities"
  • Analyze linguistic structure in text, including parsing and semantic analysis
  • Access popular linguistic databases, including WordNet and treebanks
  • Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence


This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

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