A Study on the Focus Preferences of Hot Netizens in Public Opinion on Weibo of Unexpected Public Events

Abstract

[Purpose/significance] The purpose of this paper is to find a new breakthrough in the prevention and control of public opinion by quantifying the vocabulary frequency of hot netizens' microblog and summarizing their concerns in public emergencies.[Method/process] In this study, by crawling the microblog data of hot Netizens, word2VEC vector model and TF-IDF weight algorithm were used to obtain the indexes such as the proportion of part of speech and the similarity ratio of words in the cloud map of hot Netizens' microblog words, and finally the indexes of the four kinds of events were summarized and analyzed. [Results/conclusion] In the public opinions of emergencies, the hot netizens pay more attention to the basic components of events, including the event person, event name and event process. Moreover, in the public opinions of the four types of emergencies, the hot netizens show different and dispersed attention directivity, but there are still some commonalities. At the same time, through the analysis of the hot internet users' word cloud map, we found that the star hypertalk, the dissemination of energy hierarchy and extreme similarity and other dissemination phenomena.

Keywords

• sudden public events public opinion on Weibo hot internet users focus on preferences