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

    Posted By: nebulae
    Taming Text: How to Find, Organize, and Manipulate It

    Grant S. Ingersoll, Thomas S. Morton and Andrew L. Farris, "Taming Text: How to Find, Organize, and Manipulate It"
    English | ISBN: 193398838X | 2013 | PDF, EPUB | 320 pages | 10 + 10 MB

    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.

    Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.
    What's Inside
    When to use text-taming techniques
    Important open-source libraries like Solr and Mahout
    How to build text-processing applications
    About the Authors

    Grant Ingersoll is an engineer, speaker, and trainer, a Lucene committer, and a cofounder of the Mahout machine-learning project. Thomas Morton is the primary developer of OpenNLP and Maximum Entropy. Drew Farris is a technology consultant, software developer, and contributor to Mahout, Lucene, and Solr.

    "Takes the mystery out of very complex processes."—From the Foreword by Liz Liddy, Dean, iSchool, Syracuse University

    Table of Contents
    Getting started taming text
    Foundations of taming text
    Searching
    Fuzzy string matching
    Identifying people, places, and things
    Clustering text
    Classification, categorization, and tagging
    Building an example question answering system
    Untamed text: exploring the next frontier