Intelligent Content Processing for Document Classification (2YC)

Classification of documents having written language (unstructured text) requires huge manual effort.

Recent advances in the field of machine learning (ML) and natural language processing (NLP) allow for very precise and fully automated classification of documents based on their textual content.

The prerequisite for such an automation is the training data containing examples that represent correctly classified documents to allow a machine to use this history data to correctly classify a document.

Key Process Steps Covered

• Create new document (as part of Manage Documents)
• Retrieve auto-classification
• Validate auto-classification

Benefits

• Save costs and increase efficiency
• Replace manual work through automatic document classification
• Reduce human error during increasing volume of documents

Where is Intelligent Content Processing for Document Classification(2YC) being used?

This Scope item is used in the following way:

• As a core function of Product Lifecycle Management within R&D/Engineering Scope Item Group
• As a management function of Enterprise Information Management within Database and Data Management Scope Item Group

Process flow of Intelligent Content Processing for Document Classification (2YC)

• Best Practices of SAP S/4HANA On Premise *1
• Best Practices of SAP S/4HANA Cloud *2
• Best Practices of SAP Analytics Cloud *2
• Best Practices of Robotics Process Automation(RPA) with SAP Leonardo *2

• RISE with SAP
• SAP S/4HANA Cloud
• SAP on Azure
• Business Process Management