摘要
以雅安地震为例,将情感分析和时间序列分析共同引入到对灾害网络舆情的分析中,在博文情感值计算的基础上,建立不同情感舆情走势的时间序列模型并进行预测,对积极和消极博文的内容进行分析,并总结影响网民情感波动的因素。
Taking Ya＇ an earthquake as an example, this paper introduces sentiment analysis and time series analysis into the research on internet public opinions of disasters. It calculates the emotional value of the blog contents, establishes time series models for public opinion trends of various emotions, and forecasts their trends. It also analyzes the positive and negative contents, and summarizes the factors that affect the emotional fluctuations of users.
出处
《图书情报工作》
CSSCI
北大核心
2013年第20期104-110,共7页
Library and Information Service
关键词
网络舆情
情感分析
时间序列分析
雅安地震
jinternet public opinion sentiment analysis time series analysis Ya＇an earthquake
