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With the proliferation of computers and the rapid development of Internet technology , recruitment increasingly large amount of information on the Web , at the same time , more and more college graduates tend Search Jobs from the network . These information reflect the requirements of the employer use of talent , for universities to keep abreast of the social demand for talent , the creation of a professional organization of courses , and provide valuable information , also played a facilitating role of student learning . To this end, from the vast amounts of Web information quickly and efficiently obtain the required recruitment information , mode of implicit knowledge in how to find this information is a subject worthy of study , which also makes Web text mining techniques become data mining a research hotspot . This paper first introduces Web text mining research background , significance and research status , as well as the articles of research content and structural arrangements . Second , the general process of Web text mining , mainly including the web collection , pre-processing , web pages purification , segmentation , feature representation , feature selection and text clustering technology . Then , this paper investigates the correlation analysis technique . Introduced the concept of correlation analysis and relationship , the method of calculation of the correlation coefficient and significance test . Then , for the Chinese text clustering , design Web recruitment information mining system . Carried out a detailed analysis and design of various functional modules in the text mining system . Recruitment of Web information mining system implementation, and experimental analysis . Experimental results show that the system performance is generally satisfactory , with a good practical application value .
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