2023:Transaction Detection (Section Extract Method): Difference between revisions

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<blockquote>{{#lst:Glossary|Transaction Detection}}</blockquote>
'''''Transaction Detection''''' is a '''[[Data Section]]''' '''''Extract Method'''''.  This extraction method produces section instances by detecting repeating patterns of text around the '''Data Section's''' child '''Data Fields'''.
 
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<section end="glossary" />
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.
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.


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<!--#region About-->
<!--#region About-->
=== About ===
{|class="download-box"
 
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{{#lst:2023:Labeling Behavior|Transaction Detection Label Sets}}
[[File:Asset 22@4x.png]]
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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]]
|}

Latest revision as of 10:44, 22 November 2024

This article is about an older version of Grooper.

Information may be out of date and UI elements may have changed.

202520232021

Transaction Detection is a insert_page_break Data Section Extract Method. This extraction method produces section instances by detecting repeating patterns of text around the Data Section's child variables Data Fields.

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.

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.

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