为优化高校网络舆情引导和管理工作,以新浪微博为例,构建融合主题模型和情感计算的高校网络舆情演化分析框架.该分析框架依据生命周期理论划分高校网络舆情演化阶段,利用主题模型抽取高校网络舆情事件主题,并将情感计算与主题模型相结合,分析高校舆情事件演化过程中主题的强度演化趋势和情感演化趋势.主题强度演化主要度量大学生讨论舆情事件话题的热点程度及在舆情事件发展阶段的变化趋势,可有效预测舆情热点话题;主题情感演化主要度量大学生讨论舆情事件话题的情感态度及在舆情事件发展阶段的变化趋势,可有效预测舆情负面情绪话题.最后,基于典型网络舆情演化周期提出高校网络舆情引导策略,以期对大学生关注的主题及其演化趋势进行有针对性的引导和管理.
In order to optimize the guidance and management of network public opinion in colleges and universities,an analytical framework of network public opinion evolution integrating subject model and affective computing in colleges and universities is constructed by taking Sina Weibo as an example.This analytical framework divides the evolution stages of network public opinion in colleges and universities according to the life cycle theory,extracts the topic of network public opinion events in colleges and universities by using the topic model,and combines affective computing with the topic model to analyze the evolution trends of topic intensity and sentiment in the evolution process of public opinion events in colleges and universities.The evolution of topic intensity mainly measures the degree of hot topics discussed by college students and the changing trend in the development stage of public opinion events,which can effectively predict hot topics of public opinion.The evolution of topic sentiment mainly measures the sentimental attitude of college students in discussing public opinion events and the changing trend in the development stage of public opinion events,which can effectively predict the negative sentiment of public opinion topics.Finally,the guidance strategies of network public opinion in colleges and universities are put forward based on the typical evolution cycle of network public opinion in order to guide and manage the topics concerned by college students and their evolution trend in a targeted way.