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.
About this Book
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.
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.
Table of contents
- Brief Table of Contents
- Table of Contents
- About this Book
- About the Cover Illustration
- 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
- List of Figures
- List of Tables
- List of Listings
- Title: Taming Text: How to Find, Organize, and Manipulate It
- Release date: December 2012
- Publisher(s): Manning Publications
- ISBN: 9781933988382
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