What feature in Relativity Analytics involves classifying documents into conceptually similar groups based on user examples?

The feature in Relativity Analytics that involves classifying documents into conceptually similar groups based on user examples is categorization. This process allows users to provide specific examples of documents, helping the system learn the characteristics that define those categories. As a result, the software can intelligently classify new documents into those predefined categories based on the similarities identified. This is distinct from other functionalities, such as clustering, which organizes documents into groups based on inherent similarities without user-defined examples, or concept searching, which enables users to search through documents for specific concepts rather than classify them. Similarly, the "find similar documents" function allows users to locate documents related to a specific item, but it does not inherently involve the process of classifying documents into broader categories based on user input.