Step-By-Step Guide to Use Language to Detect Language of the String

Let's create an example to automate the process to detect the language of the string.

Prerequisite:

1. In the Admin menu, add an application of Application type - CognitiveApps.

2. In the Application Properties panel:

· In the Display Name field, enter LanguageDetection.

· In the License Type list, select the type of license you have to consume for API services.

· In the Login Type list, select the type of login.

3. Click the (Save Properties) icon to save the application details.

The cognitive application is created.

To create a process with Language activity:

1. Create a process.

2. In the Parameter bar, create an In argument Read of Argument type - String and set a Default value as "You can use Automation Studio to automate tasks".

3. In the Parameter bar, create an Out argument ReturnText of Argument type - String.

4. From the Canvas Tools panel, add the Application activity to the Flowchart designer on the Canvas.

5. In the Application Type list, select CognitiveApps..

6. In the Select An Application list, select LanguageDetection.

7. Double click the Application activity box.

8. From the Canvas Tools panel, add the Language activity to the Flowchart designer on the Canvas.

9. In the Provider list, select Microsoft.

10. In the Service list, select Language Detection.

11. Click the (Settings) icon to configure the Configuration details.

12. Enter the API URL.

13. In the Input list, select Read.

14. In the Output list, select ReturnText.

15. Click Close.

16. From the Canvas Tools panel, add the WriteLine activity to the Flowchart designer on the Canvas.

17. In the Text field, enter ReturnText.

18. Save the process.

19. Set up the environment and perform test run.

20. In the Setup Environment window, enter the Sign-in User ID or Sign-in Password/Key as per your selection in the Login Type list. The Login Type is selected while performing the cognitive services prerequisites.

21. Click SETUP.

The console display the output in the JSON file format and the language detected is English.