A bibliometric review of large language models research from 2017 to 2023

L Fan, L Li, Z Ma, S Lee, H Yu, L Hemphill - ACM Transactions on …, 2024 - dl.acm.org
Large language models (LLMs), such as OpenAI's Generative Pre-trained Transformer
(GPT), are a class of language models that have demonstrated outstanding performance …

[HTML][HTML] Unveiling the dynamics of AI applications: A review of reviews using scientometrics and BERTopic modeling

R Raman, D Pattnaik, L Hughes… - Journal of Innovation & …, 2024 - Elsevier
In a world that has rapidly transformed through the advent of artificial intelligence (AI), our
systematic review, guided by the PRISMA protocol, investigates a decade of AI research …

ChatGPT in education: global reactions to AI innovations

T Fütterer, C Fischer, A Alekseeva, X Chen, T Tate… - Scientific reports, 2023 - nature.com
The release and rapid diffusion of ChatGPT have caught the attention of educators
worldwide. Some educators are enthusiastic about its potential to support learning. Others …

[HTML][HTML] Future applications of generative large language models: A data-driven case study on ChatGPT

C Filippo, G Vito, S Irene, B Simone, F Gualtiero - Technovation, 2024 - Elsevier
This study delves into the evolving role of generative Large Language Models (LLMs). We
develop a data-driven approach to collect and analyse tasks that users are asking to …

[HTML][HTML] A sociotechnical perspective for responsible AI maturity models: Findings from a mixed-method literature review

P Akbarighatar, I Pappas, P Vassilakopoulou - International Journal of …, 2023 - Elsevier
As artificial intelligence (AI) is increasingly used in various industries, it becomes crucial for
organizations to enhance their capabilities and maturity in adopting AI responsibly. This …

Green and sustainable AI research: an integrated thematic and topic modeling analysis

R Raman, D Pattnaik, HH Lathabai, C Kumar… - Journal of Big Data, 2024 - Springer
This investigation delves into Green AI and Sustainable AI literature through a dual-
analytical approach, combining thematic analysis with BERTopic modeling to reveal both …

Twitter topic classification

D Antypas, A Ushio, J Camacho-Collados… - arxiv preprint arxiv …, 2022 - arxiv.org
Social media platforms host discussions about a wide variety of topics that arise everyday.
Making sense of all the content and organising it into categories is an arduous task. A …

Unveiling the drivers of satisfaction in mobile trading: Contextual mining of retail investor experience through BERTopic and generative AI

J Yi, YK Oh, JM Kim - Journal of Retailing and Consumer Services, 2025 - Elsevier
The proliferation of mobile stock trading has introduced various apps with distinct features,
emphasizing the need to understand users' evaluations after adopting the service. This …

[HTML][HTML] Digital twins: a systematic literature review based on data analysis and topic modeling

K Kukushkin, Y Ryabov, A Borovkov - Data, 2022 - mdpi.com
The digital twin has recently become a popular topic in research related to manufacturing,
such as Industry 4.0, the industrial internet of things, and cyber-physical systems. In addition …

ChatGPT and marketing: Analyzing public discourse in early Twitter posts

W Zhou, C Zhang, L Wu, M Shashidhar - Journal of Marketing Analytics, 2023 - Springer
Despite the significant interest generated by the Generative AI model ChatGPT, there is still
a lack of understanding regarding its impact on marketing from the perspective of early …