In this study, we constructed an emotion index that quantitatively represents the collective emotions present in the Japanese web space by utilizing Social Networking Service (SNS) post data. Building upon previous research that used blog data and the Profile of Mood States (POMS), we restructured the methodology using posts from X (formerly Twitter) and updated the model by adding the ``Friendliness" indicator from the POMS2 metrics. Through periodic and trend analyses of the emotional indicators derived from X's post data, we found that the extension is consistent with results previously reported using blog data. This suggests that our methodology effectively captures typical emotional fluctuations in Japanese society, independent of specific SNS platforms, and is expected to serve as an index to visualize societal trends.

翻译：本研究利用社交网络服务（SNS）发帖数据，构建了一种能够定量表征日本网络空间中集体情绪的情感指数。在先前使用博客数据与心境状态量表（POMS）的研究基础上，我们采用X（原Twitter）的发帖数据重构了方法体系，并通过引入POMS2指标中的“友善度”维度更新了模型。通过对X发帖数据所生成情绪指标的周期性分析与趋势分析，我们发现扩展后的模型与先前基于博客数据报告的结果具有一致性。这表明我们的方法能够有效捕捉日本社会中典型的情绪波动，且不依赖于特定SNS平台，有望成为可视化社会趋势的指标。