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Using a unique combination of linguistic rules (natural language processing-NLP) and machine learning (ML) techniques, <!metaMarker>™ determines the mood, content and intent of text messages with a high degree of accuracy. <!metaMarker>™ extracts and tags the meaningful words in the text and creates metadata for applications.

When compared with keyword, neural net, Bayesian or statistical methodologies <!metaMarker>™ is nearly three times more accurate at reading text. <!metaMarker>™ enhances any application that needs to read email or other types of electronic messaging accurately in real time.

  • Flexible enough to manage all types of customer service messaging for large customer contact centers

  • Robust enough to monitor enterprise email and prevent the loss of intellectual property while deterring sexual harassment and loss of productivity

  • Accurate enough for the intelligence and law enforcement communities



launch demo Need more information about <!metaMarker>™, view this animated demo.



Diagrams (PDF documents)

Diagrams (GIFs)




"Information Security and Sharing"
by Liz Liddy



"NLP: Find What I Mean, Not What I Say"
by Susan Feldman



(A complete collection of resources about metadata is available at metaMap.)



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