Research on Public Attitude Analysis towards AI Portrait Generation Technology Based on Social Media Big Data and Its Application Potential in E-Commerce

本文通过分析社交媒体数据，探讨中国公众对AI生成肖像图像的态度，为后续AI技术的发展以及在电子商务中的运用提供理论支持与建议。本研究采用文本挖掘方法，通过对社交媒体文本数据进行语义网络分析以识别公众关注点，借助情感分析评估公众情绪取向，并最终通过主题聚类揭示正面及负面评论背后的主要原因。2023年围绕AI生成肖像图像的讨论呈现出波动性特征。76.84%的评论表达了正面情绪，主要归因于：(1) 对现有AI生成肖像质量的满意度；(2) 对未来AI技术发展的乐观态度。而19.02%的评论则表达了负面情绪，主要原因包括：(1) 当前AI生成肖像细节不足；(2) 对比美国，担忧中国在AI技术上的落后；(3) 担心AI技术取代人力劳动；(4) 关于AI技术的法律问题及对艺术就业市场的潜在冲击。This paper analyzes social media data to explore the attitudes of the Chinese public towards AI-generated portrait images, providing theoretical support and recommendations for the subsequent development of AI technology and its application in e-commerce. This study employs text mining methods, utilizing semantic network analysis of social media text data to identify public concerns, assessing public sentiment orientation through sentiment analysis, and ultimately revealing the main reasons behind positive and negative comments through topic clustering. Discussions around AI-generated portrait images in 2023 exhibited fluctuating characteristics. 76.84% of comments expressed positive sentiments, primarily attributed to: (1) satisfaction with the quality of existing AI-generated portraits; and (2) optimism about the future development of AI technology. Conversely, 19.02% of comments expressed negative sentiments, primarily due to: (1) insufficient detail in current AI-generated portraits; (2) concerns about China lagging behind the US in AI technology; (3) fears of AI technology replacing human labor; and (4) legal issues surrounding AI technology and its potential impact on the art employment market.