摘要
针对海量增长的微博信息不利于快速查阅和筛选的问题,在分析微博数据特点的基础上,利用数据挖掘技术和信息可视化技术的有机结合,开发了基于时空分析的微博演化分析系统。该系统侧重于对热点事件所涉及的微博信息的演化分析,在关注热点事件从发生、爆发到最终消亡的同时,更加关注当前热点的微博用户群体的情感分析、关键用户追寻、发布时序分析,并在侧重时间演化过程的同时关注于热点事件的空间地理信息分析。该系统广泛适用于普通微博用户、新闻机构、政府机关等单位。
Due to the massive growth in microblog information,it is difficult for user to check and select microblog information quickly. Based on the analysis of the microblog data characteristics,a MicroBlog Evolution Analysis System based on time and space was designed and developed according to the combination of data mining technology and information visualization technology. This system focused on the microblog evolution analysis of all the current hot spots involved,it paid more attention to the emotional analysis of the current hot microblog group,key users and publish time series while focusing on the current hot spots from the emergence to outbreak and to finally die out slowly. It focused on spatial geographic information analysis while putting emphasis on the time evolution process. The MicroBlog Evolution Analysis System can be widely used in ordinary microblog users,news agencies,government agencies and other departments.
出处
《西南科技大学学报》
CAS
2014年第3期68-75,共8页
Journal of Southwest University of Science and Technology
基金
国家自然科学基金(61303127)
四川省科技厅项目(2011JQ0041
11ZS2009)
西南科技大学研究生创新基金项目(14YCxjj0057)