TAMING TEXT: HOW TO FIND, ORGANIZE, AND MANIPULATE IT By Grant S. Ingersoll

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eBay item number:303980378497
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Item specifics

Condition
Like New: A book that looks new but has been read. Cover has no visible wear, and the dust jacket ...
Field of Study
Physics
Features
NA
Narrative Type
Nonfiction
Subject
Natural Language Processing, Data Processing, Databases / Data Mining, Document Management
ISBN
9781933988382
EAN
9781933988382
Subject Area
Computers
Publication Name
Taming Text : How to Find, Organize, and Manipulate It
Publisher
Manning Publications Co. LLC
Item Length
9.2 in
Publication Year
2013
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
0.7 in
Author
Thomas S. Thomas S. Morton, Grant S. Grant S. Ingersoll, Drew Drew Farris
Item Weight
19.2 Oz
Item Width
7.4 in
Number of Pages
320 Pages
Category

About this product

Product Identifiers

Publisher
Manning Publications Co. LLC
ISBN-10
193398838X
ISBN-13
9781933988382
eBay Product ID (ePID)
27038520022

Product Key Features

Number of Pages
320 Pages
Language
English
Publication Name
Taming Text : How to Find, Organize, and Manipulate It
Subject
Natural Language Processing, Data Processing, Databases / Data Mining, Document Management
Publication Year
2013
Type
Textbook
Subject Area
Computers
Author
Thomas S. Thomas S. Morton, Grant S. Grant S. Ingersoll, Drew Drew Farris
Format
Trade Paperback

Dimensions

Item Height
0.7 in
Item Weight
19.2 Oz
Item Length
9.2 in
Item Width
7.4 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2012-474342
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
005.72
Synopsis
DESCRIPTION It is no secret that the world is drowning in text and data. This causes real problems for everyday users who need to make sense of all the information available, and for software engineers who want to make their text-based applications more useful and user-friendly. Whether building a search engine for a corporate website, automatically organizing email, or extracting important nuggets of information from the news, dealing with unstructured text can be daunting. Taming Text is a hands-on, example-driven guide to working with unstructured text in the context of real-world applications. It explores how to automatically organize text, using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. This book gives examples illustrating each of these topics, as well as the foundations upon which they are built. KEY POINTS ,,h One-stop shop for learning how to process text ,,h Clear, concise, and practical advice ,,h Builds on high quality open source libraries, Summary Taming Text , 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 drowningin it. Fortunately, there are innovative tools and techniquesfor managing unstructured information that can throw thesmart developer a much-needed lifeline. You'll find them in thisbook. Taming Text is a practical, example-driven guide to working withtext 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 thefoundations upon which they are built.Written in a clear and concise style, this book avoids jargon, explainingthe subject in terms you can understand without a backgroundin statistics or natural language processing. Examples arein Java, but the concepts can be applied in any language. Written for Java developers, the book requires no prior knowledge of GWT. 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. 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 About the Authors Grant Ingersoll is an engineer, speaker, and trainer, a Lucenecommitter, 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 verycomplex 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, It is no secret that the world is drowning in text and data. This causes real problems for everyday users who need to make sense of all the information available, and for software engineers who want to make their text-based applications more useful and user-friendly. Whether building a search engine for a corporate website, automatically ......, Summary Taming Text , 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 drowningin it. Fortunately, there are innovative tools and techniquesfor managing unstructured information that can throw thesmart developer a much-needed lifeline. You'll find them in thisbook. Taming Text is a practical, example-driven guide to working withtext 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 thefoundations upon which they are built.Written in a clear and concise style, this book avoids jargon, explainingthe subject in terms you can understand without a backgroundin statistics or natural language processing. Examples arein Java, but the concepts can be applied in any language. Written for Java developers, the book requires no prior knowledge of GWT. 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. 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 About the Authors Grant Ingersoll is an engineer, speaker, and trainer, a Lucenecommitter, 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 verycomplex 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
LC Classification Number
QA76.9.T48

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  • l***t (60)- Feedback left by buyer.
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    Item shipped fast. Unfortunately the way the item was packaged by seller for shipping caused some unnecessary damage to the original vintage box. I requested a return which the seller agreed to but they also offered an alternative partial refund. Didn't feel like repackaging and taking to post office, so took the partial refund. I will give the seller some grace and hope they learned that some collectors are just as interested in the original box being intact as the item itself.
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    A+. Well-packaged and shipped quickly. Matches description TY.
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    Item exactly as described shipped fast great value