Maximizing Document Processing with Microsoft Syntex and Taxonomy

Microsoft Syntex is a cloud-based taxonomy platform that enables organizations to leverages their taxonomies to improve the accuracy of unstructured document processing models. It allows users to define, classify, and manage the taxonomy of their unstructured documents. This helps organizations to better organize and analyze the data contained in their documents. Syntex also provides tools to automatically apply taxonomies to unstructured documents and to help users identify relevant content. This helps organizations better understand the data contained within their documents and to improve the accuracy and speed of their document processing models.

When you create an extractor in your unstructured document processing model using Microsoft Syntex, you can take advantage of global term sets in the term store to display preferred terms for data that you extract.

As an example, your model identifies and classifies all Contract documents that are uploaded to the document library. Additionally, the model also extracts a Contract Service value from each contract, and will display it in a column in your library view. Among the various Contract Services values in the contracts, there are several older values that your company no longer uses and have been renamed. For example, all references to the terms Design, Graphics, or Topography contract services should now be called Creative. Whenever your model extracts one of the outdated terms from a contract document, you want it to display the current term—Creative—in your library view. In the following example, while training the model we see that one sample document contains the outdated term of Design.

Leverage term store taxonomy when creating an extractor in Microsoft Syntex - Microsoft Syntex | Microsoft Learn

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