Internet information hotspot predicting method

Abstract

The invention relates to a network information collecting and analyzing method, in particular to an internet information hotspot predicting method. The internet information hotspot predicting method aims to meet wide requirements for information hotspot prediction and solve bottlenecks in the prior art, a hotspot information evaluation model is built according to the characteristic that users actively participate in internet information activities under Web2.0, and an internet popularity evaluation algorithm is given. Experiment results show that the algorithm can accurately evaluate information popularity through comprehensive use of user feedback, web pages and other information.

Description

technical field [0001] The invention relates to a method for collecting and analyzing network information, in particular to a method for predicting hot spots of Internet information. Background technique [0002] There are billions of pieces of information published, obtained, evaluated, and disseminated by users at all times on the Internet. How to mine hot topics in this dynamic and scattered information activity has become the focus of Internet research. In Internet information and public opinion monitoring It is of great significance in terms of information and guidance. The traditional mining method of Internet hotspot information mainly mines the information data itself, such as classifying and clustering based on basic information content, and then analyzing and predicting based on hot or sensitive keywords. Netizens are the protagonists of the Internet. There is a lack of in-depth mining of user feedback data on news information, and the accuracy of hotspot predictio...

AI Technical Summary

Problems solved by technology

[0002] There are billions of pieces of information published, obtained, evaluated, and disseminated by users at all times on the Internet. How to mine hot topics in this dynamic and scattered information activity has become the focus of Internet research. In Internet information and public opinion monitoring It is of great significance in terms of information and guidance. The traditional mining method of Internet hotspot information mainly mines the information data itself, such as classifying and clustering based on basic information content, and then analyzing and predicting based on hot or sensitive keywords. Netizens are the protagonists of the Internet. There is a lack of in-depth mining of user feedback data on news information, and the accuracy of hotspot prediction is low. However, hot news information easily attracts the attention and discussion of a large number of netizens. The topic participants brainstorm and put forward Own views and opinions can often be extended to many other social issues

Because of this, a lot of bad or illegal speech will take the opportunity to breed, if not restrained, it may have a bad impact on society

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