Topic Detection and Tracking for News Web Pages
Sheng Li · Intelligent Computer and Applications · 2011
In order to get information from the internet more quickly and accurately,this paper designs and implements a topic detection and tracking system over a vast amount of web pages.On the basis of the system it also proposes the algorithm selection strategy for topic detection in the internet and a topic tracking model based on multiple features.The topic tracking model can validly distinguish the same topic from the similar topic,and the accuracy of topic tracking achieves 85.7%.The experimental results show that the system in the paper has good performance of topic detection and tracking.