2023:List Match (Value Extractor): Difference between revisions
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The '''List Match''' | The '''''List Match''''' is one of the the simplest extractors used in Grooper. It is designed to return values matching one or more items in a defined list. This can be used to extract numbers, specific words, or full phrases contained within a document. A '''''List Match''''' extractor returns an exact match including any spaces, numbers, punctuation, or special characters. | ||
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Unlike a Pattern Match, the '''List Match''' extractor does not use or require regular expressions by default, but regex can be enabled in the properties menu. Similar to a Pattern Match, suffix and prefix patterns can be added to help anchor the expression and limit the amount of false positives extracted. | Unlike a Pattern Match, the '''List Match''' extractor does not use or require regular expressions by default, but regex can be enabled in the properties menu. Similar to a Pattern Match, suffix and prefix patterns can be added to help anchor the expression and limit the amount of false positives extracted. | ||
Revision as of 10:44, 13 January 2023
A List Match is an extractor type that can be used when configuring several data extraction tools such as a Value Reader or Data Type. It is designed to return values matching one or more items in a defined list. The List Match extractor does not use or require regular expressions (regex) by default.
About
The List Match is one of the the simplest extractors used in Grooper. It is designed to return values matching one or more items in a defined list. This can be used to extract numbers, specific words, or full phrases contained within a document. A List Match extractor returns an exact match including any spaces, numbers, punctuation, or special characters.
Unlike a Pattern Match, the List Match extractor does not use or require regular expressions by default, but regex can be enabled in the properties menu. Similar to a Pattern Match, suffix and prefix patterns can be added to help anchor the expression and limit the amount of false positives extracted.