Automated Document Classification
Quickly regain control of sprawling, unstructured documents by automatically organizing them into logical groups based on similarity rankings in models that you train and control with document classification.
Classify Through ESP Feature Collection
Grooper’s ESP engine finds the different features of each page in order to group images together as classified documents. ESP uses three key feature collection mechanisms:
Natural language processing looks at the language of the complete document to understand context.
Find unique key words or phrases that positively identify a document, like a title or section heading.
Computer vision finds structured forms based on what they look like without having to read from OCR.
Sit Back and Watch the Classification
Provide document examples and watch as Grooper learns the correct document type for each instrument provided. When batch testing, unclassified documents (those with low confidence scores) can be flagged and sent to a queue for more training.
You can also classify photos now through Grooper and leading artificial intelligence cloud services. Leverage the Azure Cognitive Services Computer Vision API to return words (or tags) that describe the content of a photo.
This can be used to classify photos or photos in documents, or to add to metadata. Adult or racy content can be detected and classified in a separate location.