Abstract: In order to deal with slow response rate and false alarm rate in external public opinions monitor system, a no- vel internal system was proposed based on topic detection and clustering. And its organization model,data structure and working flows were described as following. And topic center detection method was utilized to extract the current public hotspots. Then topic clustering and predication model could estimate their trends to monitor internal crisis and so on. Simulation results show that the system can perform better and faster than the traditional system in public opinion a- farm.

Key words: Public opinion,Internal monitor system, Topic detection, I}opic clustering,Predict