Summary of changes
This section describes the technical changes made in this edition of the book and in previous editions. This edition might also include minor corrections and editorial changes that are not identified.
Summary of Changes
for SG24-7877-01
for IBM Content Analytics Version 2.2: Discovering Actionable Insight from Your Content
as created or updated on May 10, 2011.
May 2011, Second Edition
This second edition is updated to include the most important new features in IBM Content Analytics Version 2.2. It is not a comprehensive update to the previous release. This section outlines the new topics covered in this edition and changes to the previous edition.
New topics covered
The following new topics have been added to this book for IBM Content Analytics Version 2.2:
 – Connection View. The new graphical view shows the relation of the two selected facets to help you visualize the connection between them.
 – Dashboard View. With this new view, you can select multiple views in the text miner application and see them in a single dashboard view.
•New text miner application user interface changes (other than the views):
 – Terms of interest. With this feature, the system can automatically provide possible terms of interest for further investigation.
 – Document clustering. With this feature, the system can provide cluster suggestions for documents that can be used for document classification for easier search and analysis.
The system can import CSV files so that content can be quickly added to a collection without setting up a crawler or accessing a content repository.
Information has been added that explains the seamless integration between IBM Content Analytics and Cognos 8 BI.
An example has been added that explains how to add one or more of your own text analytic views for customization to meet specific data and visualization needs.
Other changes to the previous version
This edition includes revisions to the existing chapters with the latest window captures and key information related to Version 2.2. The chapters were reorganized to better accommodate the new features and functions of the product.
Some specific changes include the following areas:
•Installation and configuration
•The basics of the text miner applications (Query Tree and Query Builder)
•Content analysis with classification module
•Export data
•LanguageWare Resource Workbench integration
•Content Assessment scenario
•Performance tuning
•Troubleshooting hints and tips
•Security
New information
The following existing chapters have been enhanced with the following new information:
•Chapter 1, “Overview of IBM Content Analytics” on page 1, now includes a consolidated list of the new features and functions for IBM Content Analytics Version 2.2. Also, the architecture topic now includes information about improved scalability features.
•Chapter 2, “Application design and preparation” on page 27, includes minor editorial changes to account for the new features and functions listed in Chapter 1, “Overview of IBM Content Analytics” on page 1. This chapter also introduces the provision of a new REST-based API.
•Chapter 4, “Installing and configuring IBM Content Analytics” on page 71, now includes the configuration rationale and steps for the following new capabilities:
 – Importing CSV files
 – Terms of interest
 – Query type ahead
 – Input field filtering
 – Configuration of category tree facets
•Chapter 5, “Text miner application: Basic features” on page 143, has been expanded with the addition of a new Chapter 6, “Text miner application: Views” on page 217, which now contains the following new topics:
 – Connections view
 – Query builder
 – Concept based searching
 – Near duplicate document detection
 – New features added to the Query Tree
•Chapter 7, “Performing content analysis” on page 279 (previously Chapter 6 in the first edition), includes a section that briefly describes the designing of the custom text analysis rules.
•Chapter 8, “Discovering insight with terms of interest and document clustering” on page 321, is new and includes both term-of-interest and document clustering features.
•Chapter 9, “Content analysis with IBM Classification Module” on page 357 (previously Chapter 7 in the first edition), explains how the IBM Classification Module is used to support concept based searching in IBM Content Analytics.
•Chapter 10, “Importing CSV files, exporting data, and performing deep inspection” on page 387 (previously Chapter 8 in the first edition), now includes a section on importing and exporting data to a CSV file.
•Chapter 11, “Configuring annotators” on page 449 (previously Chapter 9 in the first edition), has been updated to reflect the tighter integration with the LanguageWare Resource Workbench that is used to build and test custom text analytics. It also explains how to use the new REST API with LanguageWare.
•Chapter 12, “IBM Content Assessment scenario” on page 483 (previously Chapter 10 in the first edition), has been extended. It now explains how the new document flagging, document clustering, and terms-of-interest features can be used in the content assessment scenario.
•Chapter 13, “Integrating Cognos Business Intelligence” on page 525, is new and explains the seamless integration between IBM Content Analytics and Cognos 8 BI.
•In Chapter 14, “Customizing and extending the text miner application” on page 557, the customization information from the first edition was consolidated with the new extending example.
•Chapter 15, “Performance tips” on page 571 (previously Chapter 11 in the first edition), explains a few new techniques that you can use to increase the overall performance of your IBM Content Analytics system.
•Chapter 16, “Hints and tips for troubleshooting” on page 603 (previously Chapter 12 in the first edition), has been updated with the latest information. Some obsoleted information was removed.
•Appendix A, “Security in IBM Content Analytics” on page 633, now includes information about how to add user application roles to control access to specific text miner application functions.
 
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