Do you want to know which are the most common use cases of APIs for emotion detection? If so, keep reading!
Emotions and sentiments are a natural part of life for each and every one of us. Even though we are rational beings, we tend to let our emotions get the best of us. Thus, these can provide us with a clear picture of how people react to various situations; as well as how these influence our decision-making process.
Therefore, being able to understand or detect emotions is one of our most effective resources we have when interacting with others. But reading them can be a difficult task. Some people can do it easily, while others not so much. So, imagine what would happen if an AI could identify them for us? Can you imagine how many use cases this technology would have?
Well, imagine no more, because emotion detector APIs are real nowadays. These tools gather academic background information and use it to identify faces in pictures or videos. Then, by analyzing the relationships between facial locations; they are able to recognize microexpressions by applying artificial intelligence.
Most Common Use Cases Of These APIs
- Group tests are an obvious example of usage. The user’s response to video games, advertisements, or products can be tested on a larger scale with massive amounts of data amassed automatically; and hence more effectively. For instance, in a marketing campaign, Bentley used the recognition of facial expressions to suggest several types of automobile models based on emotional responses to particular stimuli. This way, he was able to create a successful marketing campaign with just data on emotions.
- This kind of technology has also been used as a way to identify students who are having difficulties in the classroom; or to help autistic people communicate with others more effectively.
As you can see, emotion detector APIs are very handy; and also very easy-to-use. So, if you are currently looking for a trustworthy one; we advise using Emotion Detection API. This is a reliable API that can be found on the well-known Zyla API Hub marketplace.
How To Detect Emotions With This Emotion Detection API
The first thing you’ll need to start detecting emotions in a picture is an API key. Luckily for you, it’s very easy to get one, and also it cost 0 cents! Just follow these steps and you’ll be on your way:
- Create an account at Zyla API Hub. After this, you’ll obtain an API key. Once you have this particular alphabetic and numeric combination, you can begin sending API queries to the Emotion Detection API; as well as to any API available at Zyla API Hub.
- Then, add your bearer token to the authorization header to authenticate your API key.
- Enter the URL of the image you wish to analyze and use Emotion Detection API’s endpoint Detect Emotion.
- Send the API query.
And, that’s it! As you can see, using Emotion Detection API is very simple. This incredible tool will handle the rest. The API will do an analysis of the picture’s emotions using artificial intelligence; and will provide you with an answer that includes a percentage of emotions between 0.01 and 0.99. Keep in mind that a number closer to 0.99 means a more accurate emotion.
Related post: 3 Ways Developers Are Using Emotion Detection Technology APIs
Also published on Medium.