大数据分析下的中国社会舆情:总体态势与结构性特征——基于百度热搜词(2009—2012)的舆情模型构建

Using Big Data to Analyze Public Opinion in China: General Trends and Structural Features——Public Opinion Model Building Based on Hot Search Terms of Baidu(2009-2012)

以2009—2012年百度搜索词数据库为研究对象,采用大数据的价值挖掘与分析技术,探讨将碎片化的舆情信息如何整合处理并进行舆情模型构建的方法,在此基础上分析当下中国社会舆情的结构性特征,对"社会暖度"、"社会幸福感"及"社会压力"等中国社会舆情指数进行具体测定和分析,对于社会管理和社会协调有重要启示。

This paper takes 2009--2012 search terra database of Baidu as the research subject, with the mining and analysis of Big data. Ways of how to integrate fragmented public opinion information are discussed, and public opinion models are suggested. The paper also addresses structural features of China＇s public opinion, evaluates and analyzes public opinion indexes, including that of ＂social warmth degree＂, ＂social happiness＂ and ＂social pressure＂. Results of the work are expected to provide important inspiration for the promotion of social management and social harmony.