关键词: 网络文本挖掘, 就业知识, 需求关系, 关系提取

Abstract:

In order to help institutions of higher learning and college students make a reasonable and effective use of messy employment information resources on the network, and deal with the asymmetry of the supplydemand for employment knowledge, the paper puts forward a “professional jobknowledge point” demand relationship of employment knowledge based on web text mining. Besides, the paper designs an experiment to verify and analyze the establishment process of the relationship. In detail, by mining the employment related text on the Internet, including Chinese word segmentation and words tagging, this paper extracts the relationships among professionals, jobs and knowledge points, forms the collections of “professional job” and “jobknowledge point” relationships, and displays them on the form of visualization. The experiment shows that the establishment process of the relationship has high feasibility of technique, and it provides reference for schools and students to teach and learn on the basis of improving web resources utilization. Therefore, they can response to the talent demand of the market well.

Key words: Web text mining, Employment knowledge, Demand relationship, Relationship extraction