Prevailing Trends Detection of Public Opinions Based on Tianya Forum

被引：0

作者：

Cao, Lina ^{[1
]}

Tang, Xijin ^{[1
]}

机构：

[1] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China

来源：

INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2013 | 2013年 / 8206卷

关键词：

topics detection; dynamic topic models; Tianya Club;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

How to catch both the central topics and the trend of topics over the on-line discussions are not only of theoretical importance for scientific research, but also of practical importance for social management in current China. In social management perspective, making intervention toward crisis timely and precisely depends on the right image or perception of public opinions toward the crisis. In our research, topic modeling is applied to explore the changing topics of new posts collected from Tianya Zatan Board of Tianya Club. Those online data reflect the community opinions toward social problems.

引用

页码：186 / 193

页数：8

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