Knowledge Discovery 26.1
Knowledge Discovery Expert

# Categorization

In categorization, you assign documents to categories according to what the document and the category have in common.

A category defines a subject of interest. You can train categories with a set of documents, or by constructing Boolean expressions or text that describes the subject.

You can use categories to return documents that match the category, or to suggest the categories that a document or piece of text might match.

Categorization automatically identifies the ideas that documents contain, and classifies these documents according to their content. You can tag the documents according to the category, and you can use the tags as a trigger for a further workflow process, such as approval or examination.

Categories provide an intuitive way to navigate documents, and to filter out unimportant information from a large volume of information, and focus only on what matters.

Copyright 2025 Open Text
Version 26.1 | Last updated January 2026

Send documentation feedback

Close

Send documentation feedback

To send feedback using your default email client, open an email window.

Otherwise, send your feedback and the information below to MFI-swpdl.idoldocsfeedback@opentext.com.

We appreciate your feedback!

Product: Knowledge Discovery 26.1

Topic Title: Categorization