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.
Model Input Parameters
Parameter Name
Parameter Type
Required
input
Text
Yes
Rest API Input Example
JS
var settings = {
  "url": "https://mlapi.qualetics.com/api/datamachine/init?id=<DATAMACHINE_ID>",
  "method": "POST",
  "headers": {
    ...
    //Add Authorization Headers here
    ...
    "Content-Type": "application/json"
  },
  "data": JSON.stringify({
    "input": "It’s back! Taco Bell has announced the return of the Double Decker Taco, which is now on the menu at restaurants nationwide for a limited time."
  }),
};

$.ajax(settings).done(function (response) {
  console.log(response);
});
var settings = {
  "url": "https://mlapi.qualetics.com/api/datamachine/init?id=<DATAMACHINE_ID>",
  "method": "POST",
  "headers": {
    ...
    //Add Authorization Headers here
    ...
    "Content-Type": "application/json"
  },
  "data": JSON.stringify({
    "input": "It’s back! Taco Bell has announced the return of the Double Decker Taco, which is now on the menu at restaurants nationwide for a limited time."
  }),
};

$.ajax(settings).done(function (response) {
  console.log(response);
});
﻿
Model Output Result
Parameter Name
Parameter Type
Example
sentiment
Text
﻿
sentiment score
Number
﻿
sentiment mentions
JSON String
﻿
Rest API Output Example
JSON
{
   "input":"It’s back! Taco Bell has announced the return of the Double Decker Taco, which is now on the menu at restaurants nationwide for a limited time.",
   "original input":"It’s back! Taco Bell has announced the return of the Double Decker Taco, which is now on the menu at restaurants nationwide for a limited time.",
   "sentiment":"POSITIVE",
   "sentiment score":0.153303,
   "sentiment mentions":"[{\"text\": \"It\\u2019s back!\", \"sentiment\": \"positive\"}, {\"text\": \"Taco Bell has announced the return of the Double Decker Taco, which is now on the menu at restaurants nationwide for a limited time.\", \"sentiment\": \"neutral\"}]",
   "final result":"POSITIVE",
   "sessionid":"d55a7c06-b827-4675-8d7d-af24298960a1",
   "status":"Completed"
}
{
   "input":"It’s back! Taco Bell has announced the return of the Double Decker Taco, which is now on the menu at restaurants nationwide for a limited time.",
   "original input":"It’s back! Taco Bell has announced the return of the Double Decker Taco, which is now on the menu at restaurants nationwide for a limited time.",
   "sentiment":"POSITIVE",
   "sentiment score":0.153303,
   "sentiment mentions":"[{\"text\": \"It\\u2019s back!\", \"sentiment\": \"positive\"}, {\"text\": \"Taco Bell has announced the return of the Double Decker Taco, which is now on the menu at restaurants nationwide for a limited time.\", \"sentiment\": \"neutral\"}]",
   "final result":"POSITIVE",
   "sessionid":"d55a7c06-b827-4675-8d7d-af24298960a1",
   "status":"Completed"
}
﻿
Standard Output Parameters
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.
﻿
Parameter Name	Parameter Type	Required
input	Text	Yes
Parameter Name	Parameter Type	Example
sentiment	Text
sentiment score	Number
sentiment mentions	JSON String
Updated 17 Dec 2023
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