Which term best describes the action of categorizing similar documents together in analytics?

The term that best describes the action of categorizing similar documents together in analytics is "clustering." Clustering is a method used in data analysis to group a set of objects in such a way that objects in the same group (or cluster) are more similar to each other than to those in other groups. This technique is particularly beneficial when dealing with large volumes of documents, as it helps identify patterns and similarities among them without having to label each document manually.

In the context of analytics, clustering can enhance the understanding of the data set by revealing the natural structure or distribution of documents based on their content characteristics. For instance, clustering may group legal documents or emails that share similar topics, themes, or language structures, allowing for more efficient review or analysis.

Other terms may relate to document handling but do not effectively define the action of grouping similar items. Filtering refers to the selection of specific documents based on criteria, ranking involves ordering items according to a certain metric, and sequencing deals with arranging documents in a specific order rather than categorizing them.