2.90:Data Extractor (Concept): Difference between revisions
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There are three types of Data Extractors: | There are three types of Data Extractors: | ||
* [[Data Type]] | * '''[[Data Type]]''' | ||
* [[Data Format]] | * '''[[Data Format]]''' | ||
* [[Field Class]] | * '''[[Field Class]]''' | ||
All have configurable properties to leverage information on the page, control how data is extracted, collate extraction results, get around imperfect text data, and format results the extraction returns. | All have configurable properties to leverage information on the page, control how data is extracted, collate extraction results, get around imperfect text data, and format results the extraction returns. | ||
Revision as of 15:05, 6 October 2020
Data Extractors isolate and return information from text data on a page. Data extractors are used in a variety of ways, including (but not limited to):
- Classify documents
- Find data on a page you wish to store outside of Grooper
- Separate documents
There are three types of Data Extractors:
All have configurable properties to leverage information on the page, control how data is extracted, collate extraction results, get around imperfect text data, and format results the extraction returns.