我国正处于加强和创新社会管理、健全网上舆论引导机制的重要时期，同时随着信息网络的日益社会化，以微博为代表的新兴媒体已成为网络舆情事件的主要爆发源与传播途径。探索如何利用互联网收集社情民意、更好地服务民生，是情报管理与技术研究的新难题。本项目在复杂多维微博信息环境下，研究网络舆情事件实时主动感知的多核方法。为进一步完善信息网络管理，提高虚拟社会管理水平，服务民生，维护社会和谐稳定具有极大的现实意义。研究内容包括：（1）微博环境下网络舆情事件的实时主动感知框架；（2）微博环境下网络舆情事件全生命周期的柔性话题特征模型；（3）微博网络舆情事件模式识别的核方法，自适应核参数设定与优化，多核学习与协同；（4）微博舆情事件的危机情报主动感知原型系统实践。

Now, China is being in such a period, in which it is crucial to strengthen and innovate the social management, and to improve the guidance mechanism of online public opinion. With the increasing socialization of information networks, emerging media microblogging has become a major outbreak of the source and route of transmission of the events of the network public opinion. Explore how to use the Internet to collect social conditions and public opinion, and to better serve the people's livelihood, the new challenges of information management and technology research.Under the complex multidimensional microblogging information environment, this project will focus on the multi-kernel algrithm of network public opinion event real-time active recognition. In order to further improve the management of information networks and the level of virtual social management, serve the people's livelihood, maintain social harmony and stability, that has great practical significance.The research topics include: (1) Under microblogging environment the framework of network public opinion event real-time active recognition; (2) Under microblogging environment the whole lifecycle flexible feature model of network public opinion event topic; (3) kernel methods of microblogging network public opinion event recognition, adaptive the kernel parameters setting and optimization, collaboration of the multi-kernel learing; (4) the prototype application of microblogging network public opinion event's emergency intelligence by real-time active recognition.