网络舆情热点挖掘算法研究与实现

The research of internet public opinion hot spot mining

随着网络信息交互及传播的迅速与便捷,有效地对不断涌现的海量互联网信息进行采集并发现网络热点舆情具有十分重要的意义.研究网络舆情的表示及特征,提出采用网络化方法思想,结合Hits算法和PageRank算法进行舆情热点挖掘,并在此基础上设计了网络舆情热点挖掘系统.

With the speedy interaction and spread of the network information, it has great significance to collect emerging massive internet information and discover hot spots of network public opinion. This paper studied the characteristics of network public opinion and designed hot spot mining SYstem on the basis of combination of Hits and PageRank algorithms.