Job Matching Analysis Based on Text Mining and Multicriteria Decision-Making

The postmanagement of an enterprise is to rationally and scientifically arrange the talents who meet postrequirements are suitable for development in their posts through testing, selection, employment. job recruitment information published on website data that best reflects market demand analysis talents. However, as online mostly presented form text, this paper explores contained text mining technology, which has reference value seekers. Based multicriteria decision-making, studies matching. technical jobs under mainly distributed Internet industry, number recruits accounts 66.45%. Other industries have less analysis, all below 15%. business scattered extensive, education still occupies largest provider, accounting 30.53%. real estate media closely followed, 24.28% 22.34%, respectively. Besides these three industries, compared with talents, service will also need more. In stage collection, website, crawled, well other such salary, qualifications, work experience requirements, recruits. This carries out collection crawls website. And, position information, qualification, research can help released by analyze quickly reflect