Content Classification
Get automated classification against a standard or your own taxonomy. Ontotext’s Content Classification makes it easier to promote, deliver and reuse your content.
Key Features:
- Classify content
- Based on advanced Machine Learning
- Incorporating active learning
- Output exposed as REST API or GraphQL interfaces
How you’ll benefit
Categorize your content automatically
Enjoy consistent classification tags
Organize your assets
Scale better than your human teams
How it works
Semantic analysis
Content Classification categorizes unstructured information by performing knowledge graph-powered semantic analysis over the full text of the documents and applying supervised machine learning and rules that automate classification decisions.
Semantic fingerprint
When classifying with big hierarchical taxonomies (up to 10 000 classes on up to 8 levels), the machine learning model leverages the semantic fingerprint of the document, the concept rank and the relationships in the knowledge graph such as class proximity, class co-occurrence, parent-child relationships, etc.
Standard Solution vs Custom Solution
| Solutions Comparison | Standard Solution | Custom Solution |
|---|---|---|
| IPTC Classifier | ||
| Out of the Box Semantic Tagging | ||
| Maintenance Update 2 Times/Year | ||
| Optional Support Package | ||
| Classifier Customization with Your Taxonomy | ||
| Tagging Customization | ||
| Curation Tool | ||
| Built-in Learning of the System |
