  The main objective of this paper is to identify the major research areas of
ChatGPT through term and keyword co-occurrence network mapping techniques. For
conducting the present study, total of 577 publications were retrieved from the
Lens database for the network visualization. The findings of the study showed
that chatgpt occurrence in maximum number of times followed by its related
terms such as artificial intelligence, large language model, gpt, study etc.
This study will be helpful to library and information science as well as
computer or information technology professionals.
