Chatbot Technologies: A Comprehensive Review of Automated Chart Generation Systems

Abstract

Chat technologies have gained significant attention in recent years due to their ability to automatically generate charts and graphs from raw data. These frameworks use manufactured insights (AI) and machine learning (ML) calculations to convert complex datasets into outwardly engaging visual representations. This paper provides a comprehensive review of the state-of-the-art in chatbot technologies, discussing their underlying techniques, applications, strengths, limitations, and future directions. Furthermore, we give a comparative analysis of a number of well-known Chatbot systems, emphasizing their salient characteristics and performance indicators. The findings of this review paper contribute to a better understanding of chatbot technologies and provide guidance for researchers, developers and end-users in this rapidly evolving field.