Empathy in AI: Developing a Sentiment-Sensitive Chatbot through Advanced Natural Language Processing

Abstract

This paper explores the development of an empathetic chatbot that utilises advanced natural language processing (NLP) techniques for accurate emotion detection and response generation. This paper also explores the impact of the use of a hybrid model that recognises and categorises emotional states from textual input. Using generation models like DialoGPT, fine-tuned with empathetic dialogue datasets. The proposed chatbot‘s architect performance was evaluated using various metrics, and the results show advantage over existing models.