- Paperback: 320 pages
- Publisher: Manning Publications; 1 edition (January 24, 2013)
- Language: English
- ISBN-10: 193398838X
- ISBN-13: 978-1933988382
- Product Dimensions: 7.4 x 0.7 x 9.2 inches
- Shipping Weight: 1.2 pounds (View shipping rates and policies)
- Average Customer Review: 14 customer reviews
- Amazon Best Sellers Rank: #53,762 in Books (See Top 100 in Books)
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Taming Text: How to Find, Organize, and Manipulate It 1st Edition
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About the Author
Grant Ingersoll is a founder of Lucid Imagination, developing search and natural language processing tools. Prior to Lucid Imagination, he was a Senior Software Engineer at the Center for Natural Language Processing at Syracuse University. At the Center and, previously, at MNIS-TextWise, Grant worked on a number of text processing applications involving information retrieval, question answering, clustering, summarization, and categorization. Grant is a committer, as well as a speaker and trainer, on the Apache Lucene Java project and a co-founder of the Apache Mahout machine-learning project. He holds a master's degree in computer science from Syracuse University and a bachelor's degree in mathematics and computer science from Amherst College.
Thomas Morton writes software and performs research in the area of text processing and machine learning. He has been the primary developer and maintainer of the OpenNLP text processing project and Maximum Entropy machine learning project for the last 5 years. He received his doctorate in Computer Science from the University of Pennsylvania in 2005, and has worked in several industry positions applying text processing and machine learning to enterprise class development efforts. Currently he works as a software architect for Comcast Interactive Media in Philadelphia.
Drew Farris is a professional software developer and technology consultant whose interests focus on large scale analytics, distributed computing and machine learning. Previously, he worked at TextWise where he implemented a wide variety of text exploration, management and retrieval applications combining natural language processing, classification and visualization techniques. He has contributed to a number of open source projects including Apache Mahout, Lucene and Solr, and holds a master's degree in Information Resource Management from Syracuse University's iSchool and a B.F.A in Computer Graphics.
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My background - I've been working with Microsoft SharePoint for ten years. To date I've been focused on installation, administration, writing code, and architecture. As the SharePoint customer base has matured, I'm finding that more and more I'm having to understand what's going into SharePoint. The Managed Metadata Service, increased use of content types and keywords demand a background in taxonomy, indexing, and semantic analysis to do the job right.
"Taming Text" is the right combination of technically advanced, but introductory on the topic to compress the material for an experienced programmer. It's exactly what I was looking for. (More to follow)
I would recommend the book as a first, quick guide to a beginner who is comfortable with writing software but doesn't have any significant experience in 'taming text': he/she would need to go much beyond this book before becoming a real 'tamer'!