DeepOpinion:一种网络舆情深度分析与引导系统

在广泛调研以往互联网舆情系统存在的一些问题和不足的基础之上，研发了一套互联网舆情深度分析与引导系统DeepOpinion。该系统从用户、主题、情感三个方面对互联网舆情进行分析，并通过信息检索和内容定制技术对所关注的网络舆情进行适当引导。以天涯杂谈板块为网络舆情来源、以“辱母杀人案”事件为具体案例对系统功能进行了验证，结果表明DeepOpinion系统在互联网舆情深度分析与引导中发挥重要作用。

DeepOpinion: a system for deep analysis and guidance of internet public opinion

This paper proposes a system called DeepOpinion to monitor, track, analyze and guide internet public opinion by means of an extensive survey of existing studies on monitoring internet public opinion. Specifically, the DeepOpinion system analyzes internet public opinion from the viewpoints of users, topics and sentiments. The DeepOpinion system guides internet public opinion by using information retrieval and content customization. With the Tianya BBS forum as the source of internet public opinion, we demonstrate the functions of the DeepOpinion system in analyzing and guiding internet public opinion. Last but the most important, we use the example of the recent "murder for shaming mother" case in China as a case study to validate the practical usage of the proposed DeepOpinion system in analyzing and guiding internet public opinion.