Based on China's Multi-Social Platform ChatGPT and Large Model, and Other Topic Sentiment Analysis
Year: 2024
Type: conference-paper
Abstract: This study collected comments on ChatGPT and big model topics from four social network platform users: Bilibili, Weibo, Zhihu and Today 's Headlines. The LDA model is used to extract the comment topic, which effectively extracts the attention topic of network users. The article also uses the Pysenti method for sentiment analysis. The results show that the impact of large models on human work and life, as well as the attention and expectation of the future development of large models are worthy of attention. The comprehensive emotions tend to be positive, with positive comments accounting for 62.7 % of the total, and the overall emotional trend shows a clear positive trend.
Authors: Zhaoxia Zhang, Yilin Liang, Min Peng
Institution: Guangzhou College of Commerce
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4409965779