Description:
This setp gets the sentiment details of the sentence using Azure ML.
Inputs
- varGlobalToStoreValue– Variable or global to hold the result
- sentiment – Sentiment text
- varGlobalScore – Variable or global to hold the score
Returns
- True – step executed successfully
- False – step failed to execute
Usage:
Example:
Let’s build and execute the “clsAzureMLGetSentimentDef” example.
- Create a new workflow definition
- Drag a get “clsAzureMLGetSentiment” step from the toolbox
- Connect the dots between the start and “clsAzureMLGetSentiment” step
- Define a variable/global to store the result after execution
- Click on the "clsAzureMLGetSentiment" step to configure its "Settings" properties. Provide a name to the step. Provide the english text. Provide a variable/global to store the result. Provide the variable/global to store the score.
- The “Logging” setting configuration is necessary for documentation and also measure the workflow progress and the percent complete. This is acheived by configuring the step state and percent fields individually as shown in the images below. Configure the “Logging” using the following properties.
- Navigate to Status - Settings - Configuration - Azure ML settings menu option to complete the configuration. A sample image is included here for reference.
- Save the process definition. Create a new process instance and execute. The step should get the sentiment details of the sentence and store the result in the variable.result as configured.