Public Mood Data

该数据集包含了从多个社交媒体平台上提取的公司级别情感时间序列的每日计数和强度，这些数据通过自然语言处理技术进行了分析。此外，情感强度得分是基于社交媒体平台计算得出的，而股票历史价格则考虑了股票拆分的影响。该数据集的时间跨度为8年，即2800天，旨在用于市场预测和投资组合优化任务。

This dataset comprises daily counts and intensities of company-level sentiment time series extracted from multiple social media platforms, with the data analyzed via natural language processing techniques. Additionally, sentiment intensity scores are computed based on social media platforms, while historical stock prices have been adjusted for the impact of stock splits. Spanning 8 years (2800 days) in total, this dataset is intended for use in market prediction and portfolio optimization tasks.