|
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
|