独创性
斯科普斯
出版
系统回顾
灰色文学
生成语法
数据科学
工程伦理学
管理科学
计算机科学
心理学
知识管理
社会科学
社会学
政治学
工程类
定性研究
梅德林
人工智能
法学
作者
Hasnan Baber,Kiran Nair,Ruchi S. Gupta,Kuldeep Gurjar
出处
期刊:Information and learning sciences
[Emerald (MCB UP)]
日期:2023-11-28
被引量:1
标识
DOI:10.1108/ils-04-2023-0035
摘要
Purpose This paper aims to present a systematic literature review and bibliometric analysis of research papers published on chat generative pre-trained transformer (ChatGPT), an OpenAI-developed large-scale generative language model. The study’s objective is to provide a comprehensive assessment of the present status of research on ChatGPT and identify current trends and themes in the literature. Design/methodology/approach A total of 328 research article data was extracted from Scopus for bibliometric analysis, to investigate publishing trends, productive countries and keyword analysis around the topic and 34 relevant research publications were selected for an in-depth systematic literature review. Findings The findings indicate that ChatGPT research is still in its early stages, with the current emphasis on applications such as natural language processing and understanding, dialogue systems, speech processing and recognition, learning systems, chatbots and response generation. The USA is at the forefront of publishing on this topic and new keywords, e.g. “patient care”, “medical”, “higher education” and so on are emerging themes around the topic. Research limitations/implications These findings underscore the importance of ongoing research and development to address these limitations and ensure that ChatGPT is used responsibly and ethically. While systematic review research on ChatGPT heralds exciting opportunities, it also demands a careful understanding of its nuances to harness its potential effectively. Originality/value Overall, this study provides a valuable resource for researchers and practitioners interested in ChatGPT at this early stage and helps to identify the grey areas around this topic.
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