Data Extraction (Concept): Difference between revisions
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For more/related information please visit the following articles: | For more/related information please visit the following articles: | ||
* [[ | * [[Data Context]] | ||
* '''[[ | * '''[[Data Element]]''' | ||
* '''[[ | * '''[[Data Extractor]]''' | ||
* [[ | * [[Data Instance]] | ||
* '''''[[ | * '''''[[Extract]]''''' | ||
Latest revision as of 13:25, 11 March 2025
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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: