微博情感可视化系统

摘要

The visualization techniques is applied to analyze changes in personal emotion and public sentiment on hot events.The sentiment visualization system for microblog (SVSM)was designed and used to track the fluctuation of users’mood in a period of time and characterize the differences from the perspective of gender and region.By analyzing social sentiment in hot events,the characteristics are extracted and the public sentiment is visualized from the dimensions of time,space,hot words,user attribu-tion,events attribution and propagation characteristics.%为了研究微博用户表达情感的特性，从个人化的情感表达和对社会性事件的态度反映两类文本出发，分别对个人情感变化以及热点事件中的用户情绪进行分析，设计并实现了微博情感可视化系统（sentiment visualization system for microblog， SVSM）。个人化情感研究记录用户在时间轴上的情绪波动，并且从性别及地域属性上分析个人情感差异；热点事件情感研究监测用户情绪的群体表达，从时间、空间、热词、用户属性、事件属性以及传播特性等角度进行特性分析。