NLP TEXT CLASSIFICATION

Reveal the Meaning in Your Data

Get precise, consistent and transparent results with automated and assisted text classification processes.

Text Classification Features

Process content and extract information using model-generated rulebases, NLP, ML, and fact extraction to get the best of both worlds – precise and consistent results with the ease of automation.

Classification & Language Services

Classify and derive metadata values from any content management, enterprise search, workflow engine, or business application

Classification Review Tool

Identify inconsistencies, anomalies, and opportunities to refine models or classification strategies

Classification Analysis Tool & Document Analyzer

Get explainable classification results that let you make rule and model changes to increase precision

TESTIMONIAL

Our Customers Say It Best

Powerful, flexible product, especially for transparent AI classification."

Knowledge Management Specialist
Public Sector/Government

Visionary Organizations Choose MarkLogic

VIEW FEATURED CUSTOMERS

Text Classification Resources

Create precise, descriptive metadata to help you unlock the value of your content.

Media Organization Leverages Automated Content Tagging

Publishers, information providers, and media organizations need to meet constantly changing consumer expectations and information needs. Learn how one organization integrated MarkLogic’s Semaphore into their digital ecosystem to create an automated, transparent, and consistent content classification process that improves customer and user search and retrieval experiences.

Semaphore Classification and Language Services

Semaphore Classification and Language Services uses rules and algorithms based on semantic models managed in Knowledge Model Management, to classify and derive metadata values about the text-based data.

Semaphore Classification Review

Semaphore’s Classification Review Tool lets you to assess the quality of classification using sample content to identify inconsistencies, anomalies, and opportunities for model or classification strategy refinement. Examining classification results by document and concept, users can assess if classification logic is working as expected, identify over or under firing of concepts, and see how classification quality is changing over time.

Put Information in Context for Better Decisions

Use all your complex data and deliver information in context to support your business.

Get a Demo