基于情感计算的高校论坛突发事件分析技术
首发时间:2017-11-20
摘要:为了帮助高校提供更好的学生服务并维护校园稳定,本文提出了基于情感计算的高校论坛突发事件分析技术。在根据历史突发事件建立突发事件本体库的基础上,将情感计算方法应用到突发事件检测技术当中,实现突发事件的实时检测。实验结果表明检测结果F值与Laylavi F等提出的特定事件检测技术TopicSketch相比提升1.24%,与Hassan Saif等提出的语境语义情感计算方法相比提升7.1%。基于情感计算的突发事件分析技术基本满足了高校突发事件实时检测的需求。
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Emergency analysis technology Based on Affective Computing in Universities Forum
Abstract:In order to provide students with better service and maintain the stability of university campus. The emergency analysis technology based on affective computing is studied by this paper. The method detects the emergency in real-time based on affective computing and the University Public Opinion Ontology. The experimental results show that It gain of 1.24% in F-measure over the "event-specific detection" proposed by F Laylavi et al. and outperforms emergency detect using contextual semantics by nearly 7.1%. The method proposed in this paper meets the requirement of the emergency detection in real-time.
Keywords: Emergency detection University BBS Affective Computing
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