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Abstract
With IBM® Content Analytics Version 2.2, you can unlock the value of unstructured content and gain new business insight. IBM Content Analytics Version 2.2 provides a robust interface for exploratory analytics of unstructured content. It empowers a new class of analytical applications that use this content. Through content analysis, IBM Content Analytics provides enterprises with tools to better identify new revenue opportunities, improve customer satisfaction, and provide early problem detection.
To help you achieve the most from your unstructured content, this IBM Redbooks® publication provides in-depth information about Content Analytics. This book examines the power and capabilities of Content Analytics, explores how it works, and explains how to design, prepare, install, configure, and use it to discover actionable business insights.
This book explains how to use the automatic text classification capability, from the IBM Classification Module, with Content Analytics. It explains how to use the LanguageWare® Resource Workbench to create custom annotators. It also explains how to work with the IBM Content Assessment offering to timely decommission obsolete and unnecessary content while preserving and using content that has business value.
The target audience of this book is decision makers, business users, and IT architects and specialists who want to understand and use their enterprise content to improve and enhance their business operations. It is also intended as a technical guide for use with the online information center to configure and perform content analysis with Content Analytics.
Table of contents
Chapter 1. Overview of IBM Content Analytics
Chapter 2. Application design and preparation
Chapter 3. Understanding content analysis
Chapter 4. Installing and configuring IBM Content Analytics
Chapter 5. Text miner application: Basic features
Chapter 6. Text miner application: Views
Chapter 7. Performing content analysis
Chapter 8. Discovering insight with terms of interest and document clustering
Chapter 9. Content analysis with IBM Classification Module
Chapter 10. Importing CSV files, exporting data, and performing deep inspection
Chapter 11. Configuring annotators
Chapter 12. IBM Content Assessment scenario
Chapter 13. Integrating Cognos Business Intelligence
Chapter 14. Customizing and extending the text miner application
Chapter 15. Performance tips
Chapter 16. Hints and tips for troubleshooting
Appendix A. Security in IBM Content Analytics
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