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Book details
Paperback: 320 pages
Format: epub,pdf
Size: 9.79 MB
Publisher: Manning Publications; 1 edition (January 24, 2013)
Language: English
ISBN-10: 193398838X
ISBN-13: 978-1933988382
“Takes the mystery out of very complex processes.”—From the Foreword by Liz Liddy, Dean, iSchool, Syracuse University
Summary
Taming Text, the winner of the 2013 Jolt Awards for Productivity, 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.
Written for Java developers, the book requires no prior knowledge of GWT.
Winner of 2013 Jolt Awards: The Best Books—one of five notable books every serious programmer should read.
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
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
Book details
Paperback: 320 pages
Format: epub,pdf
Size: 9.79 MB
Publisher: Manning Publications; 1 edition (January 24, 2013)
Language: English
ISBN-10: 193398838X
ISBN-13: 978-1933988382
“Takes the mystery out of very complex processes.”—From the Foreword by Liz Liddy, Dean, iSchool, Syracuse University
Summary
Taming Text, the winner of the 2013 Jolt Awards for Productivity, 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.
Written for Java developers, the book requires no prior knowledge of GWT.
Winner of 2013 Jolt Awards: The Best Books—one of five notable books every serious programmer should read.
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
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