NetOwl DocMatcher
Features
Accurate
Achieves high accuracy using natural language processing (NLP) technology and sophisticated machine learning algorithms.
Fast
Optimized for high-speed document comparison and categorization.
Extensible
Easy to create categorization "models" for different domains and applications, from sentiment analysis for Customer Experience Management (CEM) to topic categorization for enterprise portals.
Customizable
Easy to customize categorization features through built-in and custom thesauri, semantic concepts, and stop word capabilities.
Scalable
Scales to handle tens of thousands of categories to support large-scale enterprise applications.
Deployment Friendly
Offers ability to incrementally update the trained model.
Multilingual
Support document categorization in multiple languages.