Difference between revisions of "Easy Tagging for SharePoint online/Manual/Authorize at Azure AD"
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− | === | + | === Create a client secret === |
− | Click on the " | + | * Click on the newly created application |
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− | * | + | * Click on the "New client secret"-action and fill in this information: |
− | Click on " | + | ** short description |
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+ | * Copy the value of the client secret into your clip board | ||
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Revision as of 09:56, 6 April 2021
Main Page > Products > Easy Tagging App for Sharepoint online > User Manual > Authorize at Azure Active Directory
User Manual: Authorize at Azure Active Directory
Before you are able to use the "MailDispatcher"-feature of the EasyTagging App, you have to authorize the EasyTagging App in your Azure Active Directory.
Please follow this sequence of steps. If you require assistance then we are happy to help!
Open your Azure Active Directory
Open your organisation's Azure Active Directory and select the "App registrations" action.
Register an application
Click on the "Register an application" link and enter this information:
- Name: EasyTagging (or any other name of your choice)
- Supported account types: option 1: "Accounts in this organizational directory only"
Click on "Register" to submit the form.
Create a client secret
- Click on the newly created application
- Select "Certificates & secrets"
- Click on the "New client secret"-action and fill in this information:
- short description
- expiration
- Click on "Add" to submit the form
- Copy the value of the client secret into your clip board
What's next?
- Add refiners for the document language like: english, french, german, spanisch
- The Easy Tagging App has a built-in predictor that detects the language that is used in documents. You can simply use that predictor in a tagger to tag all your documents with the language. Similar to the steps in section 3 you would simply create another refiner that allows users to restrict their search results to certain languages.
- Add refiners for important words:
- The Easy Tagging App is able to identify important words from documents and store them in the termstore as a new termset. If you let the tagger tag your documents with them, then your users can use them to filter their search results.
Questions?