Content Classification

For advanced content categorization and organization

Content Classification automates the organization of unstructured information by analyzing the full text of unstructured content.

IBM® Content Classification categorizes and organizes content by combining multiple methods of context-sensitive analysis. Content Classification enables workers to focus on higher value activities by consistently and accurately automating content-centric categorization decisions. It is designed to help tame the explosion of unstructured content, delivering better accessibility, usability, compliance and analytics.

Content Classification can significantly improve the accessibility of content by properly classifying it at the time it is created or collected.
By combining classification with enterprise search, organizations can move beyond simple keyword search to a robust and effective conceptual search that delivers a highly relevant set of results.
Workers browsing for content can feel confident that their content is accurately organized and managed. Knowledge workers who have fast access to relevant content are able to make better, faster decisions.

Content Classification immediately classifies new content produced during the business process.
Content Classification automates routing decisions based on the meaning of the text in the content.
Organizations benefit from having content delivered to the appropriate person within their business processes.

Content needs to be properly managed and classified when it is created or collected to enforce a records and retention plan.
Control of record content puts a business in a better position to comply with legal discovery (and ediscovery /software/ecm/ediscovery/) requests and legal matters as well as federal, state and local mandates and internal business rules.

Organizations need to be able to derive meaning from content by reviewing and analyzing it.
Classification enhances content analytics by allowing organizations to analyze a relevant, categorized set of content.
Classification further augments analytics by providing extended facet navigation and content clustering, delivering additional analysis and insight.

Watson sparks solution for collection, classification, and records
The company is experimenting with the natural language processing capability in IBM Content Classification (formerly named Classification Module) to categorize employees’ electronic records.

“IBM Content Classification is an integral component for companies that need to classify unstructured documents as part of their overall ECM Solution. It provides advanced, automated classification that is essential to core content management, business process execution and information governance. Through automation, customers gain significant cost savings associated with manual categorization while improving accuracy.”
Rick Smith, CEO, Imagine Solutions