Natural language processing‐based emotion and usage analysis of an <scp>AI</scp> ‐powered chatbot for epilepsy support

This study analyzed how people interacted with EpiloBot, an artificial intelligence (AI)-powered chatbot for epilepsy education and support. Using advanced language processing (NLP) techniques, we examined user messages to understand chatbot usage patterns and emotional responses. Results showed that users engaged in two main ways: medical inquiries about epilepsy treatment and exploratory, nonurgent conversations. Emotion analysis revealed that proactive learning interactions increased positive emotions, while self-reflective questions led to more neutral or negative sentiments. These findings suggest that chatbots can provide emotional benefits, but future improvements should focus on empathetic AI responses and personalized support.