Process Overview: 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.
Benefits
This process helps you to:
Save costs and increase efficiency
Replace manual work through automatic document classification
Reduce human error during increasing volume of documents
Key Process Steps Covered
Create new document (as part of Manage Documents)
Retrieve auto-classification
Validate auto-classification
