[PDF.29de] Natural Language Processing for Online Applications: Text retrieval, extraction and categorization. Second revised edition

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

[PDF.yu67] Natural Language Processing for Online Applications: Text retrieval, extraction and categorization. Second revised edition

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 | #3036294 in Books |  John Benjamins Publishing Company |  2007-06-05 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.60 x6.50 x.50l,1.00 | File type: PDF | 244 pages

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||0 of 0 people found the following review helpful.| Great complement to text mining resources|By cstoafer|I've recently started exploring natural language processing and text mining as a data scientist and found this book to provide great information that complements text mining resources to provide a whole picture of NLP. The applied approach that the book takes for describing the concepts and providing examples is very helpfu

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   |  Peter Jackson, Isabelle Moulinier.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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