[PDF.61ha] Natural Language Processing for Online Applications: Text retrieval, extraction and categorization - Second revised edition (Natural Language Processing)

Natural Language Processing for Online Applications: Text retrieval, extraction and categorization - Second revised edition (Natural Language Processing)

[PDF.ag14] Natural Language Processing for Online Applications: Text retrieval, extraction and categorization - Second revised edition (Natural Language Processing)

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 | #13454876 in Books |  2007-06-05 | Original language:English | PDF # 1 |  9.50 x6.50 x.75l,1.30 | File type: PDF | 232 pages

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||0 of 0 people found the following review helpful.| Readable Introduction to Natural Language Processing|By John M. Ford|Peter Jackson and Isabelle Moulinier introduce us to natural language processing, with the intent of delivering general, readable explanations of the core technologies needed on the web. "It is not intended as a vendor guide (such things are quickly out of date). Or as a recipe for building applications (such

This text covers the technologies of document retrieval, information extraction, and text categorization in a way which highlights commonalities in terms of both general principles and practical concerns. It assumes some mathematical background on the part of the reader, but the chapters typically begin with a non-mathematical account of the key issues. Current research topics are covered only to the extent that they are informing current applications; detailed coverage ...

You easily download any file type for your device.Natural Language Processing for Online Applications: Text retrieval, extraction and categorization - Second revised edition (Natural Language Processing)   |  Peter Jackson, Isabelle Moulinier. Which are the reasons I like to read books. Great story by a great author.

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