Web2.0时代的开启和社会媒体的不断发展,使得互联网上的数据规模呈爆炸性增长。网络大数据不仅为社会治理领域带来了新的契机,也对数据处理技术提出了巨大的挑战。构建了一个社会焦点透视镜系统,结合新浪微博数据,不仅能够实时提供每日的焦点事件及其情感分布展示,供舆情分析部门进行检测,还能够深层剖析焦点事件的情感分布原因和人群分布,协助社会治理领域进行策略的提出和实施。以"9·3阅兵"为例,呈现社会焦点透视镜系统深度剖析的结果展示。
The development of Web 2.0 and social media has led to the explosive growth of online user generated content. Big data brings a new opportunity for social governance, but also poses a great challenge for the data processing technology. A social event sensor system was constructed, which not only can automatically extract the daily hot events and their emotion distributions in real time for opinion monitoring, but also can deeply analyze the emotion distribution causations and the population distributions to help policy-making in social governance. Finally, one case study "9.3 Parade"was showed to show the deeply analysis of social event sensor system.