An emotion-aware chatbot utilizes sentiment analysis to craft empathetic responses, effectively addressing individual emotions. This bot emulates human interaction, providing companionship to alleviate isolation. Tasks include integrating sentiment analysis, developing response templates for diverse emotions, and refining the bot's conversational flow. By offering emotional support and fostering meaningful dialogue, the chatbot significantly enhances users' mental well-being and engagement.

steps to be taken: Gather diverse conversational data. -check Preprocess and tokenize the data. -check Choose sentiment analysis model.
Label data for emotions. -check
Train sentiment analysis model. Select a chatbot framework. -check Define intents and entities. Create response templates. Integrate sentiment analysis into the chatbot. -check Process user input for emotions. Determine emotion and select response. Test chatbot responses and accuracy. Gather user feedback for improvements. Deploy chatbot and monitor interactions.