Data Extraction (Concept): Difference between revisions
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For more/related information please visit the following articles: | |||
* [[Data Context (Concept)|Data Context]] | |||
* '''[[Data Element (Concept)|Data Element]]''' | |||
* '''[[Data Extractor (Concept)|Data Extractor]]''' | |||
* [[Data Instance (Concept)|Data Instance]] | |||
* '''''[[Extract (Activity)|Extract]]''''' | |||
Revision as of 14:18, 26 April 2024
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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: