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科学有效的网络舆情管理是政府执政能力的体现,面对网络舆情知识需求的多样性,对知识源进行有效的整合能为政府组织应对知识提供技术和策略上的支持。通过空间向量模型构造网络舆情的知识需求,计算网络舆情知识供需之间的向量距离,应用多维主成分分析原理,把这些知识源中的知识片段通过重新整合解决网络舆情中的知识需求。能在较短的时间内、以较快的速度获取面对网络舆情知识需求所需的较全面有效的知识,为政府部门面向网络舆情提供有效的知识服务。
Scientific and effective network public opinion management is the manifestation of the government’s ability to govern. Facing the diversity of network public opinion knowledge needs, effective integration of knowledge sources can provide technical and tactical support for government organizations to deal with knowledge. The space vector model is used to construct the knowledge demand of network public opinions and the vector distance between supply and demand of network public opinion knowledge is analyzed. The principle of multi-dimensional principal component analysis is used to solve the knowledge needs in online public opinion through reintegration of knowledge fragments in these knowledge sources. In a relatively short period of time, we can obtain more comprehensive and effective knowledge that we need to face the demand of network public opinion knowledge in a relatively short period of time, and provide effective knowledge services for government departments to face network public opinion.