How Chatbots Work

Chatbots function using Natural Language Processing (NLP), machine learning, and predefined rules to interpret and respond to user queries. Some bots rely on structured decision trees, while AI-powered bots can learn from past interactions. The sophistication of a chatbot depends on its underlying architecture, from simple rule-based bots to advanced AI-driven conversational agents.

Chatbots process user input in multiple ways, including keyword recognition, intent detection, and contextual analysis. AI-driven chatbots use deep learning models to improve their responses over time, making them more intelligent and capable of handling complex queries.

Process of a Chatbot Interaction:

• User inputs a query, either through text or voice
• Chatbot processes the request using NLP and machine learning
• Response is generated based on intent recognition, contextual understanding, and past interactions
• User receives a relevant and accurate answer
• Chatbot refines responses over time based on continuous learning