Domain specific conversational intelligent agents: natural language processing in real world applications

Natural language processing (NLP) is the branch of Artificial Intelligence (AI) studies that will shape the future of computing and Human Computer Interaction (HCI). Operational complexity of a conversational intelligent agent (Chat-bot) stems from human-related, linguistic and computational aspects. In this study, we define an architectural description of a chat-bot, address the NLP problems which needs to be solved and provide our proposed solutions for a functional conversational intelligent agent. The importance of Bayesian Statistics and Data mining of domain specific text and expected expansion areas are discussed for future research in the conversational AI development.