Analysis of Hot Topics and Evolution of Network Public Opinion Based on Social Networks

Abstract

There are a large number of public opinion information related to the safety of agricultural products on all kinds of network platforms, so it is necessary to quickly and accurately identify the focus and hot topics of public opinion. This paper proposed a method to extract and classify the hot topics of public opinion according to the dependency syntax rules in Chinese sentences. Then, the social network method is used to discover and visualize the changing of different hot topics. Based on the characteristics of the number of nodes and node degree of social networks, this paper analyzed the evolution process of some hot topics combined with different developing stages of public opinion. The result of case study shows that the method of this paper could extract reasonable hot topics from a large number of short text messages, and give a visually show of the community division and evolution characteristics of different topics. It provides effective analysis methods and techniques for the analysis of agricultural network public opinion.