Implement knowledge mining and document intelligence solutions (10–15%) Flashcards

Question

What entity types can be detected in the General Document model?

Answer 1

Person. The name of a person. PersonType. A job title or role. Location. Buildings, geographical features, geopolitical entities. Organization. Companies, government bodies, sports clubs, musical bands, and other groups. Event. Social gatherings, historical events, anniversaries. Product. Objects bought and sold. Skill. A capability belonging to a person. Address. Mailing address for a physical location. Phone number. Dialing codes and numbers for mobile phones and landlines. Email. Email addresses. URL. Webpage addresses. IP Address. Network addresses for computer hardware. DateTime. Calendar dates and times of day. Quantity. Numerical measurements with their units.

Answer 2

Use when you need rich information about the structure of a document.

Answer 3

First and last names. Personal information such as sex, date of birth, and nationality. The country and region where the document was issued. Unique numbers such as the document number and machine readable zone. Endorsements, restrictions, and vehicle classifications.

Answer 4

First and last names. Postal addresses. Email and website addresses. Various telephone numbers.

Answer 5

Information about the employer, such as their name and address. Information about the employee, such as their name, address, and social security number. Information about the taxes that the employee has paid.

Answer 6

Custom template models accurately extract labeled key-value pairs, selection marks, tables, regions, and signatures from documents. Training only takes a few minutes, and more than 100 languages are supported.

Answer 7

Custom neural models are deep learned models that combine layout and language features to accurately extract labeled fields from documents. This model is best for semi-structured or unstructured documents.

Answer 8

A successful JSON response contains analyzeResult that contains the content extracted and an array of pages containing information about the document content. Some fields in pages include pageNumber, angle, width, height, words. The words field has the word in the content field, a polygon array, and a confidence score

Answer 9

You want to make sure that the form you're analyzing has a similar appearance to forms in the training set if the confidence values are low. If the form appearance varies, consider training more than one model, with each model focused on one form format.

Answer 10

Document analysis models Read: Extract printed and handwritten text lines, words, locations, and detected languages from documents and images. Layout: Extract text, tables, selection marks, and structure information from documents (PDF and TIFF) and images (JPG, PNG, and BMP). General Documents: Extract key-value pairs, selection marks, and entities from documents. Prebuilt models Custom models

Answer 11

Azure Document Intelligence or Azure AI service endpoint and key

Answer 12

Create an Azure Document Intelligence or Azure AI Services resource Collect at least 5-6 sample forms for training and upload them to your storage account container. Configure cross-domain resource sharing (CORS). CORS enables Azure Document Intelligence Studio to store labeled files in your storage container. Create a custom model project in Azure Document Intelligence Studio. You'll need to provide configurations linking your storage container and Azure Document Intelligence or Azure AI Service resource to the project. Use Azure Document Intelligence Studio to apply labels to text. Train your model. Once the model is trained, you'll receive a Model ID and Average Accuracy for tags. Test your model by analyzing a new form that wasn't used in training.

Answer 13

The Analyze Invoice function starts the form analysis and returns a result ID, which they can pass in a subsequent call to the Get Analyze Invoice Result function to retrieve the results.

Answer 14

Use the Azure Document Intelligence's prebuilt receipts model. It can intelligently extract the required fields even if the scanned receipts have different names in them.

Answer 15

A composed model is one that consists of multiple custom models. Typical scenarios where composed models help are 1. when you don't know the submitted document type and want to classify and then analyze it. 2. They are also useful if you have multiple variations of a form, each with a trained individual model.

Answer 16

Standard pricing tier: 100 Free tier: 5

Answer 17

A Composed model consists of multiple custom models. Each submitted form is categorized as one of the custom form types and analyzed using the corresponding custom model.