Research And Application Of The Public Opinion And Hotspot Detection

The new century,information technology is profoundly impact on individuals and the organization's communication style and relationships.Internet media has become one of the major carriers to reflect public opinion.The rise of public opinion through network has tremendous impact on the community,which formed quickly,and has wide range of information sources.In recent years,ever time after an emergency occur in the world are immediately aroused strong repercussions on the network media and a high degree of public concern.The developing of information technology,especially the emergence of computer networks,and the rapid increase of social complexity,which make the contemporary social sciences,management and information sciences have been unable to cope with the challenges from the complex dynamics of modern network society.Government also attaches great importance to the management of network public opinion,and equipped with specialized agencies for the regular collection,collation,analysis of network public opinion,which is an important channel to gauge public opinion,formulate policies and adopt measures to solve problems.However,network as a sharp "double-edged sword" not only provide a convenient way in information exchange,but also constitutes serious threat to the country's political and cultural security.Since that the current collection system of online public opinion focuses on the classification and classified pages and neglects the internet users' emotional tendency,so,in this paper,we designed a collection system of online public opinion.We introduced the general processes and the correlated algorithms of all the stages.The system includes the climb from the page,document pre-processing,extraction of hot words,the extraction of the viewpoint and the extraction of a number of internet users' emotional tendency.As can be seen from the result,the system has successfully completed the collection of online public opinion and the extraction of the internet users' emotional tendency from the current hot events.In addition,the results show that the system has achieved good results.