Exploring Public Response to ChatGPT With Sentiment Analysis and Knowledge Mapping

Abstract

Information about artificial intelligence generated content (AIGC) has attracted great attention from the public. ChatGPT has gained attention from many countries due to its powerful functionality and efficiency. However, there are still many countries, such as China, that refuse to introduce ChatGPT into their own countries. This article aims to study the attention that ChatGPT has attracted in China, further investigate the reasons for the obstruction of ChatGPT’s dissemination, and provide prospects and suggestions for the global development of artificial intelligence. First, we apply the Latent Dirichlet Allocation (LDA) topic modeling algorithm to analyze the 28,122 web tweets and comments from China regarding ChatGPT. The results show that there are more negative emotions compared to positive and neutral emotions. The attention on ChatGPT rapidly increased twice between March and May 2023. We find the audience interest and concern words:“improvement”, “company” and “technology”. The analysis reveals three main themes: social, technological, and educational. Additionally, we conduct knowledge mapping to analyze the publication time, research hotspots, and subject distribution of Chinese scholars’ literature. In conclusion, this paper highlights several key issues that need to be addressed for the further advancement of AIGC, including the evolution of job roles, the changing technological landscape, the pursuit of artificial general intelligence, and ethical concerns.

Keywords

• LDA modeling
• artificial intelligence
• sentiment analysis
• ChatGPT