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by Anne Kao,Steve R. Poteet

  • ISBN: 1849965587
  • Category: Technology
  • Author: Anne Kao,Steve R. Poteet
  • Subcategory: Hardware & DIY
  • Other formats: docx azw azw lrf
  • Language: English
  • Publisher: Springer; Softcover reprint of hardcover 1st ed. 2007 edition (October 18, 2010)
  • Pages: 265 pages
  • FB2 size: 1375 kb
  • EPUB size: 1432 kb
  • Rating: 4.7
  • Votes: 900
Download Natural Language Processing and Text Mining fb2

Anne Kao, Steve R. Poteet.

Anne Kao, Steve R.

259 1 Overview Anne Kao and Stephen R. Introduction Text mining is the discovery and extraction of interesting, non-trivial knowledge from free or unstructured text. This encompasses everything from information retrieval (. document or web site retrieval) to text classification and clustering, to (somewhat more recently) entity, relation, and event extraction.

Anne Kao, Steve Poteet.

Categories: Computers.

Author: Anne Kao Author: Steve Poteet Hardback: ISBN: Pages: 286 Price: Europe EURO 6. 5 Hardback: ISBN: Pages: 286 Price: . 4. 0 Hardback: ISBN: Pages: 286 Price: .

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Today, NLP software is a shadow process running in the background of many common applications such as the personal assistant features in smartphones, translation software and in self-service phone banking applications.

You may also look at the following articles to learn more –. Best 3 Things To Learn About Data Mining vs Text Mining.

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Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for advanced students, professionals, and researchers.

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