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[[image:box_cmis_binding_000.png|256px|right|thumb|link=Box (CMIS Binding)]]
[[File:separation_and_review_14.png|right|500px|link=Separation and Separation Review|This is an example of the '''Separation Review''' '''Attended Client''' interface.]]
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'''[[Separation and Separation Review]]'''
</blockquote>


<blockquote style="font-size:14pt">[[Box (CMIS Binding)]]</blockquote>
'''Grooper''' uses various approaches and '''[https://en.wikipedia.org/wiki/Algorithm algorithms]''' to determine the classification of a page or folder. The settings on a '''[[Content Model]]''' and '''[[Document Type]]''' add to the complexities for separating pages into documents. Grooper Version 2.9 builds on the '''''Separation''''' settings found on '''Document Types''', including the ability to adjust the '''''Training Scope''''' and configure a '''''Secondary Page Extractor'''''.


Secure collaboration with anyone, anywhere, on any device, now connected to GrooperIntegration with '''[https://www.box.com/home Box]''' cloud content management system in '''Grooper''' leverages the '''[[CMIS+]]''' architecture to allow you to take full advantage of this powerful '''[https://en.wikipedia.org/wiki/Content_management_system Content Management System]'''.
Adjusting the '''Training Scope''' provides benefits to the accuracy and performance of '''ESP Auto Separation''' by focusing what is important when it comes time to separate and classify ''Unstructured'' paginated documents.  For example, the ''Normal'' mode will create a single '''FormType''' and divide trained examples into "First", "Middle" and "Last" pages.  From individual document to individual document, often the most meaningful features composing them are found on the first and last pages, and there can be more variance on the pages in betweenThis is different from the previous approach, which created individual '''FormTypes''' for each trained example, each with their own "Page X of X" '''PageType''' objects.  This unifies all trained examples into a single '''FormType''', making the training and classification of these documents ultimately simpler and more efficient.  The ''FirstLast'' mode assumes meaningful features for classification are ''only'' found on the first and last pages, with the middle pages containing no information needed to make a separation or classification decision.  With this mode enabled, ''only'' trained examples of the first and last page and their associated features will be saved. This can improve processing time by removing all the features in the middle pages for consideration. The ''FirstOnly'' mode narrows this scope even further by only storing features from the first page of trained documents.


This [[CMIS Binding]] provides connectivity to the Box environment for for a variety of powerful data integration purposes.  This allows you to import documents and their associated metadata from Box and export Grooper processed documents and their extracted index data to Box as their endpoint, as well as taking advantage of our new [[CMIS Lookup]] functionality to validate and populate fields using metadata directly from a Box.com source.
Furthermore, ESP Auto Separation ''removes'' but does not ''eliminate'' a lot of the manual work to separate and classify documents. Separation Review is a new review module designed to make the manual work quick and easy.


For more information on how to set up a connection between Grooper and a Box.com account, visit the full article [[Box (CMIS Binding)|here]]
For more information on Separation and Separation Review, visit the full article [[Separation and Separation Review|here]]
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Grooper re-envisioned how to connect to CMIS sources and other storage platforms in version 2.72Prior to this version, Grooper users connected to various storage systems through a variety of Import and Export ProvidersIn version 2.72, we created a unified framework to connect to data sources with our [[CMIS+]] Architecture!
The '''Separation Review''' module was added to improve review of complicated document sets separated and classified by '''ESP Auto Separation'''Because this Separation Provider separates using page based classification, it can be important to how it made the decision to separate or not separate a document on a page by page basisThe '''Classify Review''' module presents the reviewer with pages already placed in document folders, and it can be cumbersome to review the page by page separation viewing documents already placed in folders.


This new architecture allows for easier integration of CMIS systems with Grooper, as well as exposing non-CMIS sources, such as the Windows file system and Microsoft Outlook inboxes, as if they were CMIS sources.  This provided a more standardized import/export workflow across a variety of storage systems, increased ability to map document metadata on import and export, better ability to search, query and filter document repositories, and faster integration of new content management systems, such as the new [[Box (CMIS Binding)|Box.com]] integration.
Enter '''Separation Review'''.  This review module is modeled off our '''ESP Auto Separation Tester''' which Grooper Architects use to test the separation and classification of documents, using '''ESP Separation'''.  This viewer gives you a much broader look at the individual pages, allowing an easier (and ultimately quicker and more efficient) view of the separation logic applied to the batch.
 
There are further quality of life improvements for the '''Separation Review''' module, making the process of reviewing documents separated and classified by '''ESP Auto Separation''' simpler, faster, and more satisfying.
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Revision as of 11:51, 28 July 2020

Getting Started

Grooper is a software application that helps organizations innovate workflows by integrating difficult data.

Grooper empowers rapid innovation for organizations processing and integrating large quantities of difficult data. Created by a team of courageous developers frustrated by limitations in existing solutions, Grooper is an intelligent document and digital data integration platform. Grooper combines patented and sophisticated image processing, capture technology, machine learning, and natural language processing. Grooper – intelligent document processing; limitless, template-free data integration.

Getting Started
Install and Setup
2.80 Reference Documentation


Featured Articles Did you know?
This is an example of the Separation Review Attended Client interface.
This is an example of the Separation Review Attended Client interface.

Separation and Separation Review

Grooper uses various approaches and algorithms to determine the classification of a page or folder. The settings on a Content Model and Document Type add to the complexities for separating pages into documents. Grooper Version 2.9 builds on the Separation settings found on Document Types, including the ability to adjust the Training Scope and configure a Secondary Page Extractor.

Adjusting the Training Scope provides benefits to the accuracy and performance of ESP Auto Separation by focusing what is important when it comes time to separate and classify Unstructured paginated documents. For example, the Normal mode will create a single FormType and divide trained examples into "First", "Middle" and "Last" pages. From individual document to individual document, often the most meaningful features composing them are found on the first and last pages, and there can be more variance on the pages in between. This is different from the previous approach, which created individual FormTypes for each trained example, each with their own "Page X of X" PageType objects. This unifies all trained examples into a single FormType, making the training and classification of these documents ultimately simpler and more efficient. The FirstLast mode assumes meaningful features for classification are only found on the first and last pages, with the middle pages containing no information needed to make a separation or classification decision. With this mode enabled, only trained examples of the first and last page and their associated features will be saved. This can improve processing time by removing all the features in the middle pages for consideration. The FirstOnly mode narrows this scope even further by only storing features from the first page of trained documents.

Furthermore, ESP Auto Separation removes but does not eliminate a lot of the manual work to separate and classify documents. Separation Review is a new review module designed to make the manual work quick and easy.

For more information on Separation and Separation Review, visit the full article here

The Separation Review module was added to improve review of complicated document sets separated and classified by ESP Auto Separation. Because this Separation Provider separates using page based classification, it can be important to how it made the decision to separate or not separate a document on a page by page basis. The Classify Review module presents the reviewer with pages already placed in document folders, and it can be cumbersome to review the page by page separation viewing documents already placed in folders.

Enter Separation Review. This review module is modeled off our ESP Auto Separation Tester which Grooper Architects use to test the separation and classification of documents, using ESP Separation. This viewer gives you a much broader look at the individual pages, allowing an easier (and ultimately quicker and more efficient) view of the separation logic applied to the batch.

There are further quality of life improvements for the Separation Review module, making the process of reviewing documents separated and classified by ESP Auto Separation simpler, faster, and more satisfying.

New in 2.9 Featured Use Case

Welcome to Grooper 2.9!
Below you will find helpful links to all the articles about the new/changed functionality in this version of Grooper.

Compile Stats Microsoft Office Integration Document Viewer Separation and Separation Review
Data Review Confidence Multiplier Data Element Overrides Database Export
CMIS Lookup Content Type Filter Output Extractor Key Box (CMIS Binding)
LINQ to Grooper Objects

They’re Saving Over 5,000 Hours Every Year in Data Discovery and Processing


American Airlines Credit Union has transformed their data workflows, quickly saving thousands of hours in electronic data discovery , resulting in much greater efficiency and improved member services.

Discover how they:

  • Quickly found 40,000 specific files among one billion
  • Easily integrated with data silos and content management systems when no other solution would
  • Have cut their mortgage processing time in half (and they process mortgages for 47 branch offices!)
  • Learn from the document and electronic data discovery experts at BIS!

You can access the full case study clicking this link.


Other Resources