Analysis For Dissemination Of Public Opinion Based On Web Information Extraction

With the rapid development of Internet, more and more web information appear. The netizens give their opinions on the websites frequently and plenty of topics pour into the Internet. Some of them are beneficial and healthy while others are detrimental and harmful for the social development. To avoid the spread of harmful information and keep the development of the entire network healthy and orderly, it is necessary to study the pattern and characteristic of dissemination of public opinion and search suitable methods to guide and control the tendency of the web opinions spreading.The investigations of this article are divided into two parts.The first part is the design of a web information extraction system based on hot topics. The system uses different patterns to process different kinds of website. It collects key information of hot posts by setting key words in the configuration file and stores the results in the related tables of the database.The second part is the analysis and summary of the rules of public option spread. Use the designed system to collect data of some hot topics recently appeared on the network and analyze these data to summarize the general rules and characteristics of dissemination of public opinion, such as the rule of the whole spread process, the rule of the daily opinion spread process and the different spread characteristics between topics from different sources. And also propose some feasible methods for the guide and control of the opinion spread.This article not only provides a kind of design method for the web information extraction based on hot topics, but also verifies and enriches the former theories on the pattern of opinion spread with practical cases.