What analytics feature creates groups of conceptually similar documents with little user input?

Clustering is the feature that effectively organizes and groups conceptually similar documents with minimal user intervention. It leverages algorithms to analyze text and identify patterns and relationships among documents, allowing for the automatic classification of content based on similarities in topics, themes, or language usage. This process enhances the user's ability to navigate large datasets by presenting relevant documents in cohesive groups, thereby improving efficiency in information retrieval and management.

This capability is particularly valuable in environments dealing with vast amounts of textual data, as it reduces the burden on users to manually categorize or search for related content. Instead, clustering dynamically identifies and organizes documents, making it easier to derive insights and discover relevant information within the corpus.