Sentiment Analysis

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 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 { "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