Sentiment Analysis
4min
Sentiment analysis is used to gauge the sentiment expressed in text. The Sentiment - Aggregated model allows you to identify the specific target of your sentiment analysis for a very specific analyzed result. The sentiment result is returned as either negative, neutral, or positive.
Parameter Name | Parameter Type | Required |
input | Text | Yes |
Rest API Input Example
Parameter Name | Parameter Type | Example |
sentiment | Text | |
sentiment score | Number | |
sentiment mentions | JSON String | |
Rest API Output Example
Every model execution output consists of the following standard output parameters
- input
- The input string required for the model to extract the categories
- original input
- This is the input provided to the first step in model which is retained across multiple steps in a Data Machine workflow.
- final result
- The result of the model executed in the final step of the Data Machine workflow
- sessionid
- A unique session id that is generated for every execution of a Data Machine which can be used to retain results across multiple sessions
- status
- The result of the Data Machine execution. If all of the steps in a sequence are successfully executed, a value of "Completed" is provided. If the execution is interrupted at any point, a value of "Terminated" is provided with the reason for Termination.
Updated 17 Dec 2023
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