Do you want to know how to utilize an online API for sentiment analysis in your software? If so, keep reading!
Let’s start by understanding that sentiment analysis is the ability to detect; interpret and recognize the emotional state in a person or group of people by analyzing their physical and behavioral changes. Thus, the main use cases of sentiment analysis technologies in business are:
Customer service: sentiment analysis can be used in customer service for improving customer experience by anticipating customer needs and offering personalized support. For example, if an angry customer walks into your store; you can recognize his anger through facial expressions, and body language. You may even try to resolve his issue before he starts complaining about it; or give him some coupons to calm him down.
Marketing: emotional intelligence is one of the most important skills of marketers today because they need to know what makes people buy products or services. Emotions drive shopping behaviors; therefore marketers need an effective way to analyze emotions;in order to better understand their customers’ needs so that they can provide relevant products at the right time and place.
How Can An API For Sentiment Analysis Assist Your Business?
Luckily, nowadays there are many sentiment analysis APIs that can aid a business with all of the above. Since APIs enable two programs to exchange data requests and responses; sentiment analysis APIs can now access academic research on emotions to identify; and gauge the existence of human emotions in a given image, picture, or photograph. These tools can assist businesses with:
- Easy integration: no need for complex programming skills or expertise. The API can be used directly in a business’ software without the need for any additional programming.
- Accuracy: it uses machine learning algorithms that have been trained on thousands of faces to detect facial expressions; with high accuracy.
However, given the number of APIs available today, selecting the best one to use requires considerable thought. Because they can come from unreliable sources; some web APIs may not work as intended. We therefore advocate adopting the Emotion Detection API, which has recently gained popularity due to its efficacy and dependability. This one is safe, efficient, and cost-effective, and it can be obtained at the reputed API marketplace Zyla API Hub.
How To Utilize This Online API In Your Software
It is very easy and you won’t require any programming skill! Begin by setting an account at Zyla API Hub; don’t worry it doesn’t require any payment or confidential information. After that, an API key will be provided to you, enabling you to submit queries to any API in this respected API marketplace; in addition to the Emotion Detection API.
Secondly, before submitting any requests, you must authenticate your API key. All you need to do is include your bearer token in the permission header. And finally, all you need to do to identify the emotions in a particular image is input the URL of the image you wish to analyze; as well as submit an API call. And that’s pretty much it!
There you have it! After making the API request, wait a few seconds. Emotion Detection API will quickly identify the image’s emotions, thanks to its use of cutting-edge technology. Additionally, in your response you’ll receive a percentage rnging from 0.01 to 0.99. A higher percentage means that the API detected the emotion more accurately.
Related post: What Are The (Open And Commercial) Available APIs For Emotion Analysis