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taming text v413hav

Type:: E-books
Files:: 3
Size:: 16.6 MB
Uploaded On:: Feb. 9, 2013, 7:29 a.m.
Added By:: V413HAV
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Info Hash:: 027DC4FE18194F56E9FFE1B5A2C7A7DB7C4FF482

Taming Text V413HAV For More Quality Uploads : The Piratebay : https://thepiratebay.se/user/V413HAV/ Page Address And E-Mail ID In Read Me.txt Support The Developers. If You Like It, Buy It. || || ||||||| TM |||| || || || || || || || || || ||||||| |||||||||| || || || || || || || ||||||| Formats: EPUB, PDF Book Description Taming Text is a hands-on, example-driven guide to working with unstructured text in the context of real-world applications. This book explores how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. The book guides you through examples illustrating each of these topics, as well as the foundations upon which they are built. There is so much text in our lives, we are practically drowning in it. Fortunately, there are innovative tools and techniques for managing unstructured information that can throw the smart developer a much-needed lifeline. You’ll find them in this book. Taming Text is a practical, example-driven guide to working with text in real applications. This book introduces you to useful techniques like full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. You’ll explore real use cases as you systematically absorb the foundations upon which they are built. Written in a clear and concise style, this book avoids jargon, explaining the subject in terms you can understand without a background in statistics or natural language processing. Examples are in Java, but the concepts can be applied in any language. What’s Inside - When to use text-taming techniques - Important open-source libraries like Solr and Mahout - How to build text-processing applications Table of Contents Chapter 1. Getting started taming text Chapter 2. Foundations of taming text Chapter 3. Searching Chapter 4. Fuzzy string matching Chapter 5. Identifying people, places, and things Chapter 6. Clustering text Chapter 7. Classification, categorization, and tagging Chapter 8. Building an example question answering system Chapter 9. Untamed text: exploring the next frontier Book Details Paperback: 320 pages Publisher: Manning Publications (January 2013) Language: English ISBN-10: 193398838X ISBN-13: 978-1933988382

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taming text v413hav