How to Perform Sentiment Analysis & Classification on Text with JavaScript

Incorporating NLP into your application will increase the app’s ability to derive meaning from natural language text. Sentiment Analysis is a very useful NLP operation to include, helping to determine if written text inputs indicate a positive, negative or neutral feeling towards a given subject. It’s easy to include this function in your application — below, we’ve provided ready-to-run JavaScript code snippets to and instructions to help structure an API call to our Sentiment Analysis & Classification API.

To begin, install the jQuery library with the following command:

bower install jquery

Then, let’s include the API function:

var settings = {
     "url": "https://api.cloudmersive.com/nlp-v2/analytics/sentiment",
     "method": "POST",
     "timeout": 0,
     "headers": {
          "Content-Type": "application/x-www-form-urlencoded",
          "Apikey": "YOUR-API-KEY-HERE"
     },
     "data": {
          "TextToAnalyze": "<string>"
     }
};
$.ajax(settings).done(function (response) {
     console.log(response);
});

Good job! It may come as a surprise to hear that you’re already almost done. You’ll just need to include a Cloudmersive API key, which is attainable by registering a free account on our website (Home — Cloudmersive APIs).