Data Extraction (Concept)

STUB	This article is a stub. It contains minimal information on the topic and should be expanded.

Data Extraction involves identifying and capturing specific information from documents (represented by folder Batch Folders in Grooper). Extraction is performed by configurable Data Extractors, which transform unstructured or semi-structured data into a structured, usable format for processing and analysis.

For more/related information please visit the following articles:

• Data Context
• Data Element
• Data Extractor
• Data Instance
• Extract

Glossary

Batch Folder: folder Batch Folder objects are defined as container objects within a inventory_2 Batch that are used to represent and organize both folders and pages. They can hold other Batch Folders or contract Batch Page objects as children. The Batch Folder acts as an organizational unit within a Batch, allowing for a structured approach to managing and processing a collection of documents.

• Batch Folders are frequently referred to simply as "documents".

Data Context: Data Context refers to contextual information used to extract data, such as a label that identifies the value you want to collect.

Data Element: Data Element refers to the objects in Grooper used to collect data from a document. These include: data_table Data Models, insert_page_break Data Sections, variables Data Fields, table Data Tables, and view_column Data Columns.

Data Extraction: Data Extraction involves identifying and capturing specific information from documents (represented by folder Batch Folders in Grooper). Extraction is performed by configurable Data Extractors, which transform unstructured or semi-structured data into a structured, usable format for processing and analysis.

Data Extractor: Data Extractor (or just "extractor") refers to all Extractor Types and extractor node objects. Extractors define the logic used to return data from a document's text content, including general data (such as a date) and specific data (such as an agreement date on a contract).

Data Instance: A Data Instance is an encapsulation of text data within a document returned by Grooper's extractors. Data instances are the hierarchy of text data created by Grooper's extractors.

Extract: export_notes Extract is an Activity that retrieves information from folder Batch Folder documents, as defined by Data Elements in a data_table Data Model. This is how Grooper locates unstructured data on your documents and collects it in a structured, usable format.