Text To Emotions API Documentation
Discover the emotions expressed by the audience into their tweets, comments or chats and build rules, priority lists and alerts based on the emotions expressed.
Qemotion is editing the most complete api to detect not only sentiment (positive/negative) but also qualitative analytics like the real emotions expressed into texts.
Among other analytics, we’re automatically detecting:
Emotional e-index © Qemotion France SAS Main Primary emotions by sentence Primary emotions intensity and breakdown (Happiness, Surprise, Sadness, Fear, Anger, Disgust) Speech engagement © Qemotion France SAS including Personal commitment, Time orientation, etc. Sensations (Taste, Smell, Sight, Touch, Suffering, etc.) - *BETA Mode Other emotional KPI (Valence, arousal, Dominance) Thematics & Topics of the speech (= Emotional triggers) English and French are currently available and 30 other spoken idiomas will be available soon.
- Please contact us if interested to get more details
The public API is free but limited. test can be easily with mashape. Do not hesitate to send us an email to api@qemotion.com if you want to get an access. We will reply you in minutes and it’s free for limited volumes and non business purposes.
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Install SDK for NodeJS
Installing
To utilize unirest for node.js install the the npm module:
$ npm install unirest
After installing the npm package you can now start simplifying requests like so:
var unirest = require('unirest');Creating Request
unirest.get("https://qemotion.p.rapidapi.com/v1/emotional_analysis/get_emotions")
.header("X-RapidAPI-Host", "undefined")
.header("X-RapidAPI-Key", "undefined")
.header("Content-Type", "undefined")
.header("Authorization", "undefined")
.header("lang", "undefined")
.header("text", "undefined")
.end(function (result) {
console.log(result.status, result.headers, result.body);
});OAuth2 AuthenticationSign up for free
to test this endpoint
