Book description
IBM® Watson™ Content Analytics (Content Analytics) Version 3.0 (formerly known as IBM Content Analytics with Enterprise Search (ICAwES)) helps you to unlock the value of unstructured content to gain new actionable business insight and provides the enterprise search capability all in one product. Content Analytics comes with a set of tools and a robust user interface to empower you to better identify new revenue opportunities, improve customer satisfaction, detect problems early, and improve products, services, and offerings.
To help you gain the most benefits from your unstructured content, this IBM Redbooks® publication provides in-depth information about the features and capabilities of Content Analytics, how the content analytics works, and how to perform effective and efficient content analytics on your content to discover actionable business insights.
This book covers key concepts in content analytics, such as facets, frequency, deviation, correlation, trend, and sentimental analysis. It describes the content analytics miner, and guides you on performing content analytics using views, dictionary lookup, and customization. The book also covers using IBM Content Analytics Studio for domain-specific content analytics, integrating with IBM Content Classification to get categories and new metadata, and interfacing with IBM Cognos® Business Intelligence (BI) to add values in BI reporting and analysis, and customizing the content analytics miner with APIs. In addition, the book describes how to use the enterprise search capability for the discovery and retrieval of documents using various query and visual navigation techniques, and customization of crawling, parsing, indexing, and runtime search to improve search results.
The target audience of this book is decision makers, business users, and IT architects and specialists who want to understand and analyze their enterprise content to improve and enhance their business operations. It is also intended as a technical how-to guide for use with the online IBM Knowledge Center for configuring and performing content analytics and enterprise search with Content Analytics.
Table of contents
- Front cover
- Notices
- Preface
- Summary of changes
- Chapter 1. Overview of IBM Watson Content Analytics
- Chapter 2. Use case scenarios
- Chapter 3. Designing content analytics solutions
- Chapter 4. Understanding content analysis
- Chapter 5. Content analytics miner: Basic features
- Chapter 6. Content analytics miner: Views
- Chapter 7. Performing content analysis
- Chapter 8. Performing content analysis with built-in annotators
-
Chapter 9. Content analysis with IBM Content Classification and document clustering
- 9.1 The Content Classification annotator
- 9.2 Fine-tuning your analysis with the Content Classification annotator
- 9.3 Creating and deploying the Content Classification resource
- 9.4 Validation and maintenance of the Content Classification annotator
- 9.5 Preferred practices for Content Classification annotator usage
- 9.6 Document clustering
-
Chapter 10. Importing CSV files, exporting data, and performing deep inspection
- 10.1 Importing CSV files
- 10.2 Overview of exporting documents and data
- 10.3 Location and format of the exported data
- 10.4 Common configuration of the export feature
- 10.5 Monitoring export requests
- 10.6 Enabling export and sample configurations
-
10.7 Deep inspection
- 10.7.1 Location and format of the exported data
- 10.7.2 Common configuration
- 10.7.3 Enabling deep inspection
- 10.7.4 Generating deep inspection reports
- 10.7.5 Optional: Scheduling a deep inspection run
- 10.7.6 Monitoring the deep inspection requests
- 10.7.7 Validating the deep inspection reports generation
- 10.8 Creating and deploying a custom plug-in
- Chapter 11. Customizing content analytics with IBM Content Analytics Studio
- Chapter 12. Enterprise search
-
Chapter 13. Adding value to Cognos Business Intelligence
- 13.1 Integration overview
- 13.2 Integration architecture
-
13.3 Initial setup
- 13.3.1 Verifying IBM Cognos BI
- 13.3.2 Creating a data source connection by using Cognos BI Administration
- 13.3.3 Configuring default application user roles
- 13.3.4 Configuring an export to a relational database using Content Analytics
- 13.3.5 Configuring the Cognos BI server for reporting by using Content Analytics
- 13.4 Generating Cognos BI reports
- 13.5 Creating custom Cognos BI reports
- Chapter 14. Customizing and extending the content analytics miner
- Appendix A. Spatial Analysis plug-in code
- Appendix B. Additional material
- Related publications
- Back cover
-
IBM System x Reference Architecture for Hadoop: IBM InfoSphere BigInsights Reference Architecture
- Introduction
- Business problem and business value
- Reference architecture use
- Requirements
- InfoSphere BigInsights predefined configuration
- InfoSphere BigInsights HBase predefined configuration
- Deployment considerations
- Customizing the predefined configurations
- Predefined configuration bill of materials
- References
- The team who wrote this paper
- Now you can become a published author, too!
- Stay connected to IBM Redbooks
- Notices
Product information
- Title: IBM Watson Content Analytics: Discovering Actionable Insight from Your Content
- Author(s):
- Release date: July 2014
- Publisher(s): IBM Redbooks
- ISBN: None
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