Train AI.To do this, you need to describe the essence of the task in detail, think through the details and attach the entire developed base of training materials.
Evaluate the result. After training, test the neural network on specific tasks and analyze the results. If they are unsatisfactory, analyze the errors and repeat.
After training, the neural network will be able to imitate human afghanistan cell phone number list emotions using the received linguistic constructions. Remember that for a better imitation of the neural network, more linguistic patterns with different shades of feelings are needed.
Conclusion
AI with emotional intelligence can better understand and predict user needs and adapt to their mood. This is especially useful in the development of chatbots and virtual assistants, where the ability to recognize and adequately respond to emotional signals can significantly increase customer satisfaction.
In addition, a neural network capable of simulating emotions can create more lively, catchy texts that inspire trust in readers. Content created by AI with emotional intelligence does not leave the feeling that it was written by a machine. The better the AI is trained, the higher the quality of the texts it generates.
It can also be used to analyze consumer reviews and comments on social networks and determine the overall mood of customers regarding your product, service or brand. Such a tool will help companies manage their image more effectively.