分析3000+日语视频，洞察核能舆情变化
Topic Modeling and Sentiment Analysis on Japanese Online Media's Coverage of Nuclear Energy
- 用主题模型提取核能话题，大模型做情感分类
- 2023年8-9月涉核废水讨论热点转移明显
- 为日本核政策沟通提供数据支持，适合政策研究者
福岛核事故13年后，日本核电仅占电力生产的约6%，多数核电站仍处于停运状态。为推动核能产业复苏并实现可持续发展目标，基于对公众情绪的准确把握开展有效沟通至关重要。传统全国性调查之外，社交媒体成为新渠道。本文分析了超过3000条涉及核能议题的YouTube视频内容及评论，采用主题建模提取主要话题，利用大语言模型进行情感分析，识别用户对各话题的态度。同时通过词共现网络分析，考察2023年8月至9月期间核污染水排放相关讨论的演变。研究结果揭示了日本国内在线舆论特征，有助于全面理解公众态度。
原文摘要 · Abstract (English)
Thirteen years after the Fukushima Daiichi nuclear power plant accident, Japan's nuclear energy accounts for only approximately 6% of electricity production, as most nuclear plants remain shut down. To revitalize the nuclear industry and achieve sustainable development goals, effective communication with Japanese citizens, grounded in an accurate understanding of public sentiment, is of paramount importance. While nationwide surveys have traditionally been used to gauge public views, the rise of social media in recent years has provided a promising new avenue for understanding public sentiment. To explore domestic sentiment on nuclear energy-related issues expressed online, we analyzed the content and comments of over 3,000 YouTube videos covering topics related to nuclear energy. Topic modeling was used to extract the main topics from the videos, and sentiment analysis with large language models classified user sentiments towards each topic. Additionally, word co-occurrence network analysis was performed to examine the shift in online discussions during August and September 2023 regarding the release of treated water. Overall, our results provide valuable insights into the online discourse on nuclear energy and contribute to a more comprehensive understanding of public sentiment in Japan.
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