Hot Event Detection And Analysis Based On Internet Information

With the vigorous development of the network, the Internet has become an important way to issue and access information.Network information has been growing concern. So it is necessary to discovery and analyze hot event information on the network.From the characteristics of the Internet,there are many sources of the information,Network information is very random.the angle and view of the information publishers are varies.We can not help users to understand all of the hot information or all aspect of some hot information from just judging by the experience of traditional. Therefore, we need to adopt a certain of technology and methods to automatic process network information and find the hot events quickly and accurately from the network information. At the same time, we also can do some prediction and analysis.In this paper, my research object is the Internet web page information. We provides an effective solution that make users clearly understand the current hot issues of society and predict the hot events to some extent by the using of information collection technology, clustering technology and so on.First, this paper describes the background, research status, and some of the key technologies of the network information discovery and analysis. Secondly, this paper focuses on two innovations that is the improving of the network information acquisition strategies and the improving of clustering algorithm. Through the above improvement, the effect of hot events detection and the efficiency of information collection have been improved in a certain extent. Then, this paper proposed some models on the development of the hot events to analyze and predict the network information hot events. Finally, we take the GEM listed companies as an example, it shows that these improvements achieved a certain results.Hot event discovery and analysis in domestic research is still relatively backward, there are lots of issues to resolve, which means the research has great space for improvement. Finally, the work of the paper and future research are discussed.