摘要
随着互联网的迅速发展,网络已成为各大媒体发布新闻和人们获取信息的主要渠道。而网络新闻复杂多样,并不是每一条新闻都是人们关注的热点。为了快速准确地获得用户关注的热点事件,提出将三种聚类算法相结合的话题发现算法和热度计算公式,并通过实验验证利用上述方法进行热点发现的可行性。
With the rapid development of the Internet, the network has become the main channel for media to release news and the people to obtain information. However, the network news is complex and diverse, not every piece of news is the focus of attention. In order to quickly and accurately obtain hot events that users concerned, presents a topic detection algorithm which combines three kinds of clustering algorithms and a heat calculation formula. And through the experiment, we verify the feasibility of using the above methods for hot found.
关键词
热点事件
聚类算法
热度计算
可行性
Hot Event
Clustering Algorithms
Heat Calculation
Feasibility
