View source for 2023:Transaction Detection (Section Extract Method)

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<blockquote>{{#lst:Glossary|Transaction Detection}}</blockquote>

This '''Data Section''' '''''Extract Method''''' is unique in that it leverages the '''Data Section's''' child '''Data Fields'''' extracted values to produce the section instances.  Normally, the section instance is established first, then the '''Data Fields'''' extractors returns results from the text data in the instance.  In the case of '''''Transaction Detection''''', one or more '''Data Fields''' are specified as '''''"Binding Fields"'''''.  These '''''Binding Fields''''' extract against the whole document to detect periodic patterns to establish each section instance.

'''''Transaction Detection''''' is also a "Label Set aware" extraction technique.  It can use collected labels to more strictly define where each section instance is located.  For more information on Label Sets, visit the [[Label Sets]] article.

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You may download the ZIP(s) below and upload it into your own Grooper environment (version 2023). The first contains one or more '''Batches''' of sample documents.  The second contains one or more '''Projects''' with resources used in examples throughout this article. 
* [[Media:2023 Wiki Transaction-Detection Batches.zip]]
* [[Media:2023 Wiki Transaction-Detection Project.zip]]
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