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中文摘要：
微博（Micro-Blog,Twitter）是互联网上的一种重要媒体,以简短、便捷的方式表达用户的观点,并实现多发布工具即时分享,已经成为热点事件产生和传播的重要场所,因此微博平台中热点事件发现等方面研究的重要性便突显出来了。该文依据热点事件的出现会使用户所发微博中情感词数量增多,情感发生变化,提出了情感分布语言模型,通过分析相邻时段间情感分布语言模型间的差异,实现对热点事件的发现。实验结果表明该文方法可以有效地从微博平台中发现热点事件,并且有助于对微博平台中热点事件的管理和监控。
英文摘要：
Mirco-Blog（Twitter） is becoming a major source for producing and spreading hot events on the internet,in that it provides a short and convenient way for users to express and share their attitudes instantly.To detect the hot events on the Micro-Blog platform,this paper discloses find that the emergences of hot events will increase the number of emotion words and change their distribution.Accordingly,an emotion distribution language model is proposed to analyze the differences between adjacent time interval to find the hot events.Experiment results show that the method proposed can detect hot events in Mirco-Blog platform effectively,facilitating the management and monitoring of the hot events in Mirco-Blog platform.
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