Emotion Recognition Through Human Conversation Using Machine Learning Techniques

Emotion recognition will perform a hopeful role in the field of artificial intelligence, uniquely in the case of human–machine interface development. It is the process of recognizing and analyzing the emotion of chat and text, i.e., moods of the people can be easily found, and this process can be used in various social networking websites and various business-oriented applications. The mood of the person will be confirmed by making proper observations, i.e., by asking multiple questions until his/her situation is correctly recognized. Based on his/her answers, it tries to refresh his/her mind if he/she is in a bad mood (mild) by providing the refreshments based on the interests of the person that were gathered initially. The proposed system goes about as a choice emotionally supportive network and will demonstrate to be a guide for the doctors with the analysis. The user expresses his or her feelings, and the Chatbot replies accordingly. Using Python packages, NLTK and Flair, we analyze the intensity of the emotion.