基于网络招聘文本挖掘的课程知识模型自动构建研究  

Research on Automatic Construction of Curriculum Knowledge Model Based on Web Recruitment Text Mining

作　　者：俞琰 陈磊[1] 赵乃瑄 Yu Yan;Chen Lei;Zhao Naixuan(Information Service Department,Nanjing Tech University,Nanjing 210009;Computer Science Department,Southeast University Chengxian College,Nanjing 211816)

机构地区：[1]南京工业大学信息服务部,南京210009 [2]东南大学成贤学院计算机工程系,南京211816

出　　处：《图书情报工作》2019年第10期134-142,共9页Library and Information Service

基　　金：教育部人文社会科学规划项目“大数据时代技能知识图谱构建研究”(项目编号:16YJAZH073);国家社会科学基金一般规划项目“大数据时代支持创新设计的多维度多层次专利文本挖掘研究”(项目编号:17BTQ059)研究成果之一

摘　　要：[目的/意义]为帮助高校师生充分利用网络招聘信息,提出基于大数据量网络招聘文本挖振的课程知识模型及其自动构建方法。[方法/过程]本文提出包含“岗位-课程-知识点”的三级课程知识模型,利用自然语言文本挖掘技术实现课程知识点模型的自动构建,并通过实验对其构建过程进行验证和分析。[结果/结论]实验结果表明本文提出的模型及方法具有高度的可行性与有效性,可为高校和学生提供教学和学习参考。[Purpose/significance]In order to help college teachers and students make full use of web recruitment inforniation,this paper proposes a curriculum knowledge model and its automatic construction method based on large data web recruitment text mining.[Method/process]This paper proposes a three-level curriculum knowledge model including"post-curriculum-knowledge point",which uses natural language text mining technology to realize the automatic construction,and verifies the construction process through experiments.[Result/conclusion]The experimental results show that the proposed model and method are highly feasible and effective,and provide teaching and learning reference for colleges and students.

关 键 词：网络招聘文本 课程知识模型 文本挖掘 

分 类 号：G202[文化科学—传播学]