用户与AI互动的多维动机与情感表达——基于豆瓣小组的文本挖掘
Multidimensional Motivations and Emotional Expressions in User-AI Interaction—A Text Mining Study Based on a Douban Group
摘要: 随着人工智能技术的快速发展，用户与AI的互动成为理解当代传播行为的重要议题。本文以豆瓣小组“今天和AI互动了吗”为研究对象，通过自然语言处理技术，系统分析与AI互动相关的话语主题与情感特征。首先，研究运用LDA主题模型进行主题挖掘并识别出七个核心主题，这些主题反映出用户在功能性使用、情感性陪伴等多层面的互动动机。其次，结合中文情感词典与百度API进行情感分析，结果显示整体上用户在AI话题中的情感表达倾向较为积极，反映出用户对AI应用潜力、智能化体验和未来发展持有乐观期待。文章通过主题与情感的双重分析，揭示了AI时代媒介互动的复杂性，丰富了对人机共生关系的理解。
Abstract: With the rapid development of artificial intelligence technology, user interaction with AI has become an important issue for understanding contemporary communication behaviors. This paper takes the Douban group “Have You Interacted with AI Today?” as the research object and systematically analyzes discourse themes and emotional characteristics related to AI interaction through natural language processing technology. First, the study employs the LDA topic model for theme mining and identifies seven core themes, reflecting users’ multi-layered interactive motivations such as functional use and emotional companionship. Second, sentiment analysis combining a Chinese sentiment dictionary and the Baidu API shows that users’ emotional expressions in AI-related discussions are generally positive, indicating optimistic expectations toward AI’s application potential, intelligent experiences, and future development. Through dual analysis of themes and emotions, this paper reveals the complexity of media interaction in the AI era and enriches the understanding of human-machine symbiotic relationships.
文章引用：陈奕伊. 用户与AI互动的多维动机与情感表达——基于豆瓣小组的文本挖掘[J]. 新闻传播科学, 2026, 14(3): 1-8. https://doi.org/10.12677/jc.2026.143058

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