Which analytical feature retrieves conceptually related terms based on a word or phrase input?

Keyword Expansion is the analytical feature that retrieves conceptually related terms based on a word or phrase input. This process involves taking the user-provided keyword and generating a broader list of related terms and phrases, thus enhancing the search results and enabling users to find documents or content that may not contain the exact input but are still contextually relevant.

By expanding the initial keyword, this feature allows for a more comprehensive exploration of related topics, leading to increased discoverability of information. It is particularly useful in environments where understanding the nuances of language and context is crucial, such as research or content curation tasks.

In contrast, options such as Find Similar Documents focus on locating documents that share similarities with a provided source document, rather than expanding the input terms. Textual Near Duplicates identifies documents that are very similar in text but does not necessarily help in broadening the scope of related terms. Document Clustering groups documents into clusters based on similarity but does not generate related terms from a concept input.