Knowledge Discovery 26.1
Knowledge Discovery Expert

# Improve

This section describes operations that Knowledge Discovery performs that can improve the quality of your data, and the value that you can get out of it. It includes tasks that you can perform before indexing to add flags to documents with extra information about the contents. It also includes functions that you can use to organize your data and find relationships and trends.

- Classification. Mark a document according to predefined criteria.

- Categorization. Assign your documents to categories that define topics.

- Taxonomy. Create taxonomies from your categories.

- Named Entity Recognition. Find useful entities in document text and add it to a tag that you can easily search for, or filter by.

- Sentiment Analysis. Use Named Entity Recognition to find positive or negative sentiment in text.

- Automatic Language Detection. Classify documents according to both their language and character encoding.

- Feature Classification. Classify images according to different properties.

- AgentBoolean Queries. Query to find agents and categories that match a document.

- Cluster Data. Automatically identify common information in documents and create clusters of related documents.

- What’s Hot and What’s New. Find topics that are particularly important, or that have appeared recently.

- Media Analysis. Use Media Server to analyze images and video.

- Audio Analysis. Use Media Server to analyze audio.

Related Topics

- Enrich Your Content

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Version 26.1 | Last updated January 2026

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Product: Knowledge Discovery 26.1

Topic Title: Improve