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






[PDF.lp04] Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit
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 | #35484 in Books |  O'Reilly Media | Model: 14055174 |  2009-07-10 | Original language:English | PDF # 1 |  9.19 x1.20 x7.00l, | File type: PDF | 504 pages

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||5 of 5 people found the following review helpful.| Questionable Material|By John M. Ford|Edward Loper's book is an introduction to the Natural Language Toolkit (NLTK) for the Python programming language. Its target audience is a narrow one. It assumes a working familiarity with Python. It's true that an experienced programmer could learn Python along the way, but getting the most from the code examples and walkthrough explan|About the Author|
|Steven Bird is Associate Professor in the Department of Computer Science and Software Engineering at the University of Melbourne, and Senior Research Associate in the Linguistic Data Consortium at the University of Pennsylvania. He complet

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 algo...



You easily download any file type for your gadget.Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit   |  Steven Bird, Ewan Klein, Edward Loper. Just read it with an open mind because none of us really know.

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