![]() ![]() For Value, provide the date variation as they appear in the sample files.In the Explanation section, select New and type a name (for example, Date).To help identify the Service Start Date, you can create a pattern explanation. For example, a date value can be in several different formats, such as: Add an explanationįor our example, we're going to create an explanation that provides a hint about the entity format itself and variations it might have in the sample documents. If you find multiple instances, you can select the one you need in the search results to go to that location in the viewer to label it. The Find feature is useful if you're searching a large document or if there are multiple instances of the entity in the document. You can use the Find feature to search for an entity in your document that you want to label. You can choose to more label more documents or advance to training. Once you labeled five files, a notification banner displays informing you to move to training. In the viewer, repeat steps 1 and 2, then repeat until you saved the label in all five files. Or select Save and then select another file from the Labeled examples list. Select Next file to autosave and open the next file in the list in the viewer. You should see the value display from the file in the Labeled examples list, under the Label column. For example, if you want to extract the Start Service Date, you highlight the date value in the first file ( Monday, October 14, 2022). Here you see a list of your sample files, with the first file on the list displayed in the viewer.įrom the viewer, select the data that you want to extract from the files. The next step is to label the entity you want to extract in your example training files.Ĭreating the extractor opens the extractor page. If this occurs, the column setting Allow unlimited length in document libraries can be used to remove the limit. In this case, extracted text might appear truncated. To select greater than 255 characters, choose the Multiple lines of text column type when creating the extractor.īy default, Multiple lines of text columns are created with a limit to the amount of text that can be added. Any characters that you select exceeding the limit get truncated. ![]() For extractors with the column type Single line of text, the maximum character limit is 255. ![]()
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