IBM® Content Analytics with Enterprise Search (ICAwES) Version 3.0 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. ICAwES 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 on the features and capabilities of ICAwES, 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 guide 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 in conjunction with the online Knowledge Center for configuring and performing content analytics and enterprise search with ICAwES.
Table of contents
Chapter 1. Overview of IBM Content Analytics with Enterprise Search
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
Chapater 8. Performing content analysis with built-in annotators
Chapter 9. Content analysis with IBM Content Classification and document clustering
Chapter 10. Importing CSV files, exporting data, and performing deep inspection
Chapter 11 Customizing content analytics with IBM Content Analytics Studio
Chapter 12 Enterprise search
Chapter 13 Adding value to Cognos Business Intelligence
Chapter 14 Customizing and extending the content analytics miner
These pages are Web versions of IBM Redbooks- and Redpapers-in-progress. They are published here for those who need the information now and may contain spelling, layout and grammatical errors.
This material has not been submitted to any formal IBM test and is published AS IS. It has not been the subject of rigorous review. Your feedback is welcomed to improve the usefulness of the material to others.
IBM assumes no responsibility for its accuracy or completeness. The use of this information or the implementation of any of these techniques is a customer responsibility and depends upon the customer's ability to evaluate and integrate them into the customer's operational environment.