Dynamic applications have been around for quite a long time as we can see in contexts such as real-time collaboration services, instant messaging services, real-time data analytics tools. As a result, several technologies have been developed over the years to tackle the Problems and to provide a better SaaS (Software as a Service) .
So , with this Emotion A.I comes into picture to make real-time application more efficient with Greater Efficiency & Score values. Emotion AI Commonly known as Sentiment analysis or opinion mining.
In this Course we are going to build to an scalable real-time chat application with Emotion A.I that detects the emotion of the user writes in the chat box , usually represented in the form of emoji.
How is Our Course different from Others ?
We have developed a Emoji scale in this which is designed and implemented on Research basis to
provide a better NLP Sentiment Analysis Score and provide Great user-experience.
So, Let's Get started with Application
Basic Requirement for the application
Required & installing Dependencies
Getting started
Setting up Server
We will go ahead to set up a simple server using Next.js to wrap an Express application server. We will also load the necessary middle-wares for the Express server and then we will configure Pusher using the credentials we added to our environment variables.
Setting up Server
Creating Index page
Building Chat Component
Defining the Emotion A.I Emoji Scale Model
Conclusion
Conclusion
In this course, we have been able to build a very simple chat application with chat sentiment using Next.js (React), Pusher and Sentiment Node module. While this tutorial focuses on just the basics, there are a lot of advanced stuffs you can do to make a better chat app.
Don't worry if you can't make the app right ; Download the Complete app Zip file
