NETOWL
NetOwl DocMatcher
NetOwl DocMatcher uses advanced linguistic features and robust machine learning algorithms to intelligently compare and categorize documents. DocMatcher is used for a variety of question-answer matching tasks, ranging from intelligence analysis to Customer Relationship Management (CRM), patent analysis, and resume routing. With DocMatcher, it is easy to explore concepts and relationships between documents and identify duplicate or near-duplicate documents. Unlike other trainable categorization products, DocMatcher does not require a large set of training documents. A large government agency ranked DocMatcher highest, by a significant margin, among other categorization tools in a large-scale operational benchmarking.
Benefits
- Compares and categorizes documents with high accuracy
- Avoids the bottleneck of requiring training documents
- Optimized for high throughput for enterprise applications
- Reduces unstructured data volume effectively through duplicate detection