Research on Topic Detection of Network Public Opinion Based on Hierarchical Clustering

被引:0
|
作者
Liu, Lu [1 ]
Jiang, Zheng-tao [1 ]
机构
[1] Commun Univ China, Sch Comp Sci, Beijing 100024, Peoples R China
基金
中国国家自然科学基金;
关键词
Network public opinion; Topic detection; Hierarchical clustering;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
As the impact of network public opinion on the community continues to expand, by using engineering technologies become the key technique to analyze and process network public opinion. This paper summarizes the technology of network public opinion analysis. It focuses on the research of the key technology text clustering, and introduces a kind of public opinion topic detection technology based on hierarchical clustering. This technology improves the traditional hierarchical clustering algorithm aiming at network public opinion. It can distinguish the levels of public opinion topic, and get the results of different granularities.
引用
收藏
页码:291 / 295
页数:5
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