» » Mining the Talk: Unlocking the Business Value in Unstructured Information
Download Mining the Talk: Unlocking the Business Value in Unstructured Information epub book
Author: Jeffrey Kreulen,Scott Spangler
ISBN13: 978-0132339537
Title: Mining the Talk: Unlocking the Business Value in Unstructured Information
Format: doc azw lrf docx
ePUB size: 1430 kb
FB2 size: 1835 kb
DJVU size: 1312 kb
Language: English
Category: Management and Leadership
Publisher: IBM Press; 1 edition (July 29, 2007)
Pages: 240

Mining the Talk: Unlocking the Business Value in Unstructured Information by Jeffrey Kreulen,Scott Spangler

Mining the Talk-Unlocking the Business Value in Unstructured Information Scott Spangler Jeffrey Kreulen IBM Press Upper Saddle River,, NJ, Boston, Indianapolis, San Francisco New York, Toronto, Montreal, London, Munich, Paris, Madrid Cape Town, Sydney, Tokyo, Singapore, Mexico City ibmpressbooks. Most of this book will concentrate on the Understand and Analyze phases, which are the unique differentiators and the key to unlocking the business value of unstructured information in Mining the Talk. In this section, we introduce each of these concepts and describe what they entail. Explore Many times we are dealing with very large repositories of information.

Kreulen, Jeffrey T. Uniform Title: Safari Books Online. On this site it is impossible to download the book, read the book online or get the contents of a book. The administration of the site is not responsible for the content of the site. The data of catalog based on open source database. All rights are reserved by their owners.

Mr. Spangler holds a . degree in math from the Massachusetts Institute of Technology and an . in computer science from the University of Texas. It's well worth the time to pick up a copy of this book and try out the mining software. You might even want to run it against your mail file to see where and who is taking most of your time and attention.

Leverage Unstructured Data to Become More Competitive, Responsive, and Innovative.

This is the eBook version of the printed book. 6: Mining to See the Future 133 Chapter 7: Future Applications 163 Appendix: The IBM Unstructured Information Modeler Users Manual 171. Online Stores ▾. Audible Barnes & Noble Walmart eBooks Apple Books Google Play Abebooks Book Depository Indigo Alibris Better World Books IndieBound.

The mining of unstructured information is a potential solution. By Scott Spangler and Jeffrey Kreulen. And you can listen-if you know how. This book is about how we learned to listen to the talk and to turn it into valuable business insights for our company and for our customers.

From: W Spangler Date: 24 Aug 2007 Subject: New Book on mining unstructured data. Mining the Talk: Unlocking the Business Value in Unstructured Information. by Scott Spangler; Jeffrey Kreulen.

by Scott Spangler; Jeffrey Kreulen. The print version of this textbook is ISBN: 9780132339537, 0132339536.

Leverage Unstructured Data to Become More Competitive, Responsive, and Innovative

In Mining the Talk, two leading-edge IBM researchers introduce a revolutionary new approach to unlocking the business value hidden in virtually any form of unstructured data–from word processing documents to websites, emails to instant messages.

The authors review the business drivers that have made unstructured data so important–and explain why conventional methods for working with it are inadequate. Then, writing for business professionals–not just data mining specialists–they walk step-by-step through exploring your unstructured data, understanding it, and analyzing it effectively.

Next, you’ll put IBM’s techniques to work in five key areas: learning from your customer interactions; hearing the voices of customers when they’re not talking to you; discovering the “collective consciousness” of your own organization; enhancing innovation; and spotting emerging trends. Whatever your organization, Mining the Talk offers you breakthrough opportunities to become more responsive, agile, and competitive.

Identify your key information sources and what can be learned about them Discover the underlying structure inherent in your unstructured information Create flexible models that capture both domain knowledge and business objectives Create visual taxonomies: “pictures” of your data and its key interrelationships Combine structured and unstructured information to reveal hidden trends, patterns, and relationships Gain insights from “informal talk” by customers and employees Systematically leverage knowledge from technical literature, patents, and the Web Establish a sustainable process for creating continuing business value from unstructured data

Preface xv

Acknowledgements xx

Chapter 1: Introduction 1

Chapter 2: Mining Customer Interactions 21

Chapter 3: Mining the Voice of the Customer 71

Chapter 4: Mining the Voice of the Employee 93

Chapter 5: Mining to Improve Innovation 111

Chapter 6: Mining to See the Future 133

Chapter 7: Future Applications 163

Appendix: The IBM Unstructured Information Modeler Users Manual 171

Reviews: 7
There's currently a lot of noise about "supercrunching" -- continually analyzing customer data and "thinking with numbers." Business has been mining its databases for decades with increasing sophistication. In many ways, however, analyzing the data you already have simply tells you more about what you already know, largely because the decision about what types of data to collect has already limited the opportunities for exploration. The processes and tools described by these authors open the door to a completely new and largely untapped source of information about your customers, your products, your competition, and your reputation. Furthermore, its a source of information that hasn't previously been filtered by the need to limit data storage or structure data into relational databases. What's surprising, or perhaps exciting, is that the authors have managed to explain the value of mining unstructured data and the processes for doing so in language that is not only easy to understand but also easy to read. If your job is to understand the behavior of "the crowd" and predict how they will respond to your advertising and promotion, then this book is a must. If your job is trying to find a needle in the proverbial haystack, then this book is essential. If your interest is in classifying the masses of information being spewed forth on the Internet, then this book is a place to start. And, if you are fascinated with advances in our ability to put metrics on an increasingly fractured world, then this book will tweak your imagination.
Bad Sunny
This is a good overview of text mining. It is very readable and easy to understand.
So how many of you IT professionals have faced this particular question from someone in your IT organization? "We have so much data locked up in (email/forums/wikis/etc.), and we can't analyze it".

Thought so...

I had the opportunity to read and review the book Mining the Talk: Unlocking the Business Value in Unstructured Information, and I think it's one of those books that can change the way your organization views this type of data.

Table of Contents:
1. Introduction
2. Mining Customer Interactions
3. Mining the Voice of the Customer
4. Mining to Improve Innovation
5. Mining to See the Future
6. Future Applications
7. The IBM Unstructured Information Modeler Users Manual

Spangler and Kreulen are IBMers who have spent a lot of time working with the concepts behind mining data that resides in unstructured formats. This could be web pages, help desk tickets, discussion database, or what have you. Once you step outside the structured world of relational databases and official taxonomies, it's often thought that the only way to get a feel for what's happening is to have someone responsible for reading it all. But there *is* a better way...

Using a tool named The IBM Unstructured Information Modeler, they show how you can use software to analyze unformatted data, cluster the results and keywords, and develop a real taxonomy that covers what is truly happening in your business. For instance, your help desk system probably has categorization fields. But you'll never get all the combinations that could happen, nor will every last help desk person categorize things in the same way. Using this tool, you can pass in the unstructured data (comment fields) and start to get a feel for what really is happening. Then by refining and grouping the initial results, the taxonomy for the target data can be accurately grouped for even larger datasets. The net result is a true view into what issues are occurring most often, in what combinations, as well as where most of the issues come from. These combinations might remain hidden if you rely on typical structured reporting based on static categorization. But with a little effort, you can start to gain insights not readily available by other means.

Even better... There's a version of the software tool that is downloadable from the AlphaWorks site, so you can start experimenting with your own data mining efforts. The install is straight-forward and easy, so it's not as if you'll spend two days trying to get a proof-of-concept going. You could easily pull off an initial test in a couple of hours, and then use that to decide if you need to expand your efforts to a larger dataset and the licensed version of the software.

Think of what this means for all your discussion and document databases out there. No longer would you need to "apologize" for not having the capabilities to analyze and mine the information stored out there. A 15 minute rollout of a discussion database can start paying immediate communication dividends, and then the mining tool could be used to spot trends and hot points. That's some powerful abilities coupled with immediate ROI to the business. Can't beat that combination...

It's well worth the time to pick up a copy of this book and try out the mining software. You might even want to run it against your mail file to see where and who is taking most of *your* time and attention.
Mining the Talk: Unlocking the Business Value in Unstructured Information (IBM Press)
This really does get down the whole philosophy and all that you need to know about the practise of text mining with state of the art tools. In the age of consumer generated media and the internet the world is generating more than we can ever handle and understand without help. Mining the Talk explains how a combination of people and computer technology can help us deal with the information overload. Computers are fast and stupid and we are smart but slow. Thus is about getting fast and smart.

Mining the Talk introduces the reader to the different ways of thinking needed to work with unstructured text, gives them just the right amount of theory, goes onto the case studies and finally end by putting the tools in the hands of the readers. (Software that performs the text mining operations described can be downloaded from a site mentioned in the book).

The book is recommended reading for anyone who is involved in the analysis of documents, interet, news etc.

NB. The reviewer has met the authors of the book.
The authors have created a highly readable, yet technically comprehensive, work about a topic of critical importance in the current marketplace. As an IT professional frequently faced with convincing non-IT colleagues of the importance of technology in industry, this book is just the kind of tool needed. It presents a solution that is ingenious and innovative, and has direct practical application to current business problems. I can think of many immediate uses in my industry and the straightforward presentation, with clear examples, practically sells the concept of mining unstructured data by itself. It makes the job of communicating important, complex concepts to decision-makers who often have no IT background almost easy! Especially for large to medium-sized corporations struggling with basic data management, and missing huge opportunities for discovering the value hidden in their data, this book will be enormously important.

Linda J. Joseph, PhD
ME Technology
General Motors Corporation