Understanding the Perceptions of Healthcare Researchers Regarding ChatGPT: A Study Based on Bidirectional Encoder Representation from Transformers (BERT) Sentiment Analysis and Topic Modeling.
Journal:
Annals of biomedical engineering
Published Date:
May 2, 2023
Abstract
In this study, we have used deep learning techniques to understand the perception of researchers in the healthcare sector about the recently introduced chat generative pre-trained transformer (ChatGPT). Ever since the launch of ChatGPT, there have been various debates over the usage of ChatGPT for research purposes. In this article, using the pre-trained BERT (Bidirectional Encoder Representations from Transformers) model, we performed sentiment analysis and topic modeling to analyze the social media posts of healthcare researchers to understand their emotions towards ChatGPT.