Research On Text Mining System Based On The Recruitment Information In The Web

Along with the popularity of computers and the rapid development of internet technology, the recruitment information in the web is incresingly huge,and meanwhile,more and more college graduates are prone to search recruitment information from the internet. All the messages reflects the employing units' requirement on employees,which has provided the colleges with the prompt knowledge about the social needs toward talents so as to be heleful in colleges' specialism,course arrangements,and college students'learning on campus.Thus, it is a significant and worthy issue to discuss how to get the needed recruitment messages from the huge amout of web information, and how to find out the implicated knowledge schema,which enables Web text mining technology to be a popular issue among researches on text mining.This essay has firstly introduced the Web text mining's research background, its significance,the present situation at home and abroad, and the research content and structures.Next, the general process of Web text mining has been studied, including the techonologies such as Web pages gathering, preprocessing and Web pages purification,words separation and feature expression, feature selection and text clustering.Then, this essay has explored the correlation analysis techonology, introducing the concept of the correlation analysis,and the corelationship, and givng the calculating methods of the relative factors and significance testing.Moreover, the Web recruitment information text mining system has been developed for the Chinese texts clustering.Each function module of text mining system has been analyzed and designed in details.Finally, the Web recruitment information text mining system has been experimented, whose analysis has been given. And the experiment result proves that the property index of this system is satisfactory and practical.