Abstract

The paper under consideration comes up with a broad systematic literature review as well as a detailed bibliometric analysis of the research papers related to the application of the ChatGPT, which is a big generative language model developed by OpenAI. The focus of the study is to present the whole spectrum of the existing literature on ChatGPT and discover what the key needs and concepts are by means of topic and trend analysis. Eventually, then 328 works - both of them articles and scientific articles - were selected from the Scopus database for bibliometric analysis discussed: publishing trends, productive countries, keywords - these are the three main factors that will impact your Amazon sales. Also included, a systematic literature review using various search engines. That involves 34 relevant research papers which is the core of the research problem. The effects demonstrate that research studies in ChatGPT have reached an infant stage of study and many fields have been touched which include natural language processing, understanding and conversations, speech processing, recognition, learning, dialogue systems, chatbots, and responses generation. The US apparently has a considerable share of this market, and the words 'patient care', 'medical', 'higher education', and a few other variations lead one to believe that this issue corresponds to these categories. Apparently, this research corresponds to a beneficial tool for scholars and practitioners that look into the Chatbots at the initial stage, which helps to increase the existing knowledge in this domain. This report has especially shown the necessity of further investigation and innovation to dismiss these shortcomings and to make the ChatGPT tool to cover ethical and responsible use areas. On the one hand, carrying out meta-research on ChatGPT can be seen to be an added value. However, at the same time, there is a need to understand the subtleties of using it to its full potential.