作者: Marc Cheong , Vincent CS Lee , None
DOI: 10.1007/S10796-010-9273-X
关键词:
摘要: The study of terrorism informatics utilizing the Twitter microblogging service has not been given apt attention in past few years. identified as both a potential facilitator and also powerful deterrent to terrorism. Based on observations Twitter's role civilian response during recent 2009 Jakarta Mumbai terrorist attacks, we propose structured framework harvest sentiment scenarios. Coupled with intelligent data mining, visualization, filtering methods, this can be collated into knowledge base that would great utility decision-makers authorities for rapid monitoring such Using synthetic experimental data, demonstrated proposed yielded meaningful graphical visualizations information, reveal threats. novelty is never studied domain informatics. This paper contributes understanding capability conjoint unstructured content mining extracting deep from noisy twitter messages, through our framework.