Emotion Analysis

emotion models are pre trained classification models for the task of classifying the emotion in the input document and the specified target words for example, in the text, "i hate school school is bad" the model may predict anger and sadness as the most prevalent emotions overall, and also predict the targeted emotion for specific mentions, for example frustrated would have anger as the most prevalent emotion 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 emotion json string top emotion text emotion 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 ", "top emotion" "joy", "emotion" "{\\"anger\\" 0 05385012, \\"disgust\\" 0 047210775, \\"fear\\" 0 047437664, \\"joy\\" 0 4776503, \\"sadness\\" 0 19493075}", "emotion mentions" "\[{\\"text\\" \\"it\\\u2019s back!\\", \\"emotion\\" {\\"anger\\" 0 034364913, \\"disgust\\" 0 03524342, \\"fear\\" 0 06251651, \\"joy\\" 0 47995415, \\"sadness\\" 0 26262563}}, {\\"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 \\", \\"emotion\\" {\\"anger\\" 0 07333533, \\"disgust\\" 0 05917813, \\"fear\\" 0 032358818, \\"joy\\" 0 47534645, \\"sadness\\" 0 12723584}}]", "final result" "{\\"anger\\" 0 05385012, \\"disgust\\" 0 047210775, \\"fear\\" 0 047437664, \\"joy\\" 0 4776503, \\"sadness\\" 0 19493075}", "sessionid" "a89d04c9 e080 4027 a040 99184fb4c2b0", "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