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| This approach uses [[Data Extractor]]s to find key words, phrases, or other text-based information in order to identify and classify a document (assigning a '''[[Document Type]]''' to the [[Document Folder]]). For example, a document with a centered header of "Purchase Report" might be classified as a "Purchase Report" '''Document Type''' with this approach. One could build a [[Data Type]] extractor using regular expression to match the phrase "Purchase Report" centered at the top of a document to identify it.
| | #REDIRECT [[Rules-Based (Classify Method)]] |
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| The "rules" are set using the '''''Positive Extractor''''' and '''''Negative Extractor''''' properties of a '''Document Type''' object in a '''[[Content Model]]'''. If set as the '''''Positive Extractor''''' and the extractor returned a result on a document, it would be classified as a "Purchase Report" '''Document Type'''. The '''''Negative Extractor'''''' works the opposite way. If the extractor finds a result on a document, it would be ''prevented'' from being classified as that '''Document Type'''.
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