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

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.