Hot-Word Detection for Internet Public Sentiment
Sun Lihua · Zhongwen xinxi xuebao · 2011
Hot-word is a network phenomenon,which reflects some popular feelings and topics at a particular time and space.In this paper,two key technologies of hot-word analyzing are discussed,including hot-word discovering and associating technique.In the phase of word discovering,firstly,we get named entity recognition techniques and statistical techniques for high frequency phrase to do string excavation.Then,we take the basis of weight and weight fluctuations to compute hot-word weight.Up to the hot-word association,they are derided from the difference of the weight value of hot-word,and hot-word relationship was computed from the principle of co-occurrence rate.The technology has been successfully applied to hot-word discovering module,which is a part of TRS public sentiment monitoring system.