2023:Transaction Detection (Section Extract Method)
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.
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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