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).

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There’s an API for that. Cloudmersive is a leader in Highly Scalable Cloud APIs.

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Cloudmersive

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There’s an API for that. Cloudmersive is a leader in Highly Scalable Cloud APIs.

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