NewgenONE Platform
Content Classification
Intelligently classify documents for streamlined access to relevant information
Auto-classify documents based on characteristics—structural, textual, or both—to streamline your content management operations. Leverage machine learning and artificial intelligence-based technologies to enable layout-, object-, and content-based classification. Enable access to contextual information to ensure smarter decision-making, improved productivity, and better customer experience.
Content Classification Capabilities of NewgenONE
Document Identification and Organization
Identification of document type and processing of high volume of structured, semi-structured, and unstructured documents
Automated organization, sequencing, and classification of documents, to eliminate labor-intensive, manual processes
Layout, Object, and Content-based Classification
Layout and object-based classification to classify structured documents based on visual patterns, logos, symbols, and more
Content-based classification to classify semi-structured and unstructured documents by inspecting important keywords in the text and identifying relationships between them
Machine Learning based Classification
Trainable, machine learning technology for continuous improvement of classification accuracy
Dedicated model training tool, to easily create, train, and deploy new classification models
Streamlined Service Request Processing
Classification and grouping of customers’ documents for faster processing of service requests
Easy integration with core business applications, content management platforms, and document capture applications
Smart Document Capture Tools
Elimination of manual segregation through separator pages
Automatic classification of documents imported in bulk
Data Confidentiality and Compliance
Classification of documents while adhering to confidentiality and compliance requirements, including HIPAA, PCI DSS, and GDPR
Management of litigation documents by specifically classifying for eDiscovery, legal hold, legal investigations, and other cases
