Mining Social Response to Crisis via Electronic Media

摘要：

In this paper, we are interested in using text mining to analyze textual data obtained from electronic social media in order to find out social concerns on crisis. In particular, we explore the temporal theme patterns in the natural catastrophe, i.e. the Yushu Earthquake, and compare the foci of the Chinese public, Chinese government and the overseas. By incorporating sources of information with a variety of aspects, we can distill not only snapshots of social concerns at given times but also the evolution of these concerns over time. Our intension is to assist the government in publicizing appropriate information and making intelligent decisions.

关键词： text mining electronic social media yushu earthquake response

作者: Juan Yang Xiqian Zhao Qing Li

作者单位: Southwestern University of Finance & Economics Chengdu, China

会议类型: 国际会议

会议名称: 2010 International Conference on Management of e-Commerce and e-Government(第四届电子商务与电子政务管理国际会议 ICMeCG 2010)

会议地点: 成都

会议语种:英文

页码: 65-70

在线出版日期: 2010-10-23（万方平台首次上网日期，不代表论文的发表时间）