Taming Text: How to Find, Organize, and Manipulate It

By 作者: Grant S. Ingersoll – Thomas S. Morton – Drew Farris

ISBN-10 书号: 193398838X

ISBN-13 书号: 9781933988382

Edition 版本: 1

Release Finelybook 出版日期: January 24, 2013

pages 页数: 320


$44.99

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


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