社交网络的舆情热点发现模型研究

Research on Public Opinion Hotspot Detection Model of Social Network

随着社交网络的大规模发展,传统的基于文本分析的热点话题发现技术面临严峻的挑战。构建了针对社交媒体的舆情热点发现分层架构模型,详细介绍了模型中的关键技术,并将时间因素和链接分析技术引入舆情热点发现算法,阐述了新算法的主要思想和大致流程。在舆情热点发现中引入网络化方法,开拓了舆情分析的新思路。

With the large-scale development of social networks, the traditional hot topic detection technology based on text analysis faces serious challenges. This paper constructs a hierarchical architecture model for public opinion hotspot detection of social media, introduces in detail the key technologies in the model, and introduces the time factor and link analysis technology into the public opinion hotspot detection algorithm, expounds the main ideas and general process of the new algorithm. The introduction of networked methods in the discovery of hotspot has opened up new ideas for public opinion analysis.