Abstract
The chatbot is a software application that could initiate and participate in a meaningful conversation with a live human being agent. With proper algorithms and sufficient training, a chatbot could comprehend inquiries and replies in a way that mimics human response. The chatbot allows companies to operate at a low cost and provides more efficient and professional customer service. This article aims to provide a symmetrical overview of chatbot building and comments on frequently used models and mainly focuses on the models that researchers utilize to build chatbots. The models are separately discussed in terms of query understanding and response generation, and the knowledge base, evaluation, and optimization methods are also included. Chatbots building is a combination of Natural Language processes (NLP) and Machine Learning (ML), and there is a trend shifting from rule-based to more complex models involving Neural Networks.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
