Micro-Blog Hot Events Detection Based on Emotion Distribution
Hongfei Lin · Zhongwen xinxi xuebao · 2012
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.