图书情报工作 ›› 2019, Vol. 63 ›› Issue (13): 105-113.DOI: 10.13266/j.issn.0252-3116.2019.13.011

• 知识组织 • 上一篇    下一篇

网络招聘文本技能信息自动抽取研究

俞琰1,2, 陈磊1, 姜金德3, 赵乃瑄1   

  1. 1. 南京工业大学 南京 210009;
    2. 东南大学成贤学院计算机工程系 南京 211816;
    3. 南京晓庄学院商学院 南京 211171
  • 收稿日期:2018-07-17 修回日期:2019-03-19 出版日期:2019-07-05 发布日期:2019-07-05
  • 作者简介:俞琰(ORCID:0000-0002-9654-8614),教授,博士,E-mail:yuyanyuyan2004@126.com;陈磊,硕士研究生;姜金德(ORCID:0000-0002-5504-7493),教授,博士;赵乃瑄(ORCID:0000-0001-9072-7315),教授,博士。
  • 基金资助:
    本文系教育部人文社科规划项目项目"大数据时代技能知识图谱构建研究"(项目编号:16YJAZH073)和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。

Research on Skill Information Automatic Extraction from Online Recruitment Texts

Yu Yan1,2, Chen Lei1, Jiang Jinde3, Zhao Naixuan1   

  1. 1. Information Service Department, Nanjing Tech University, Nanjing 210009;
    2. Computer Science Department, Chengxian College, Southeast University, Nanjing 211816;
    3. School of Business, Nanjing Xiaozhuang University, Nanjing 211171
  • Received:2018-07-17 Revised:2019-03-19 Online:2019-07-05 Published:2019-07-05

摘要: [目的/意义]针对目前网络招聘文本手工抽取技能信息无法满足大数据量分析要求的问题,提出一种针对大量网络招聘文本的技能信息自动抽取方法。[方法/过程]根据网络招聘文本的特点,利用依存句法分析选取候选技能,然后提出领域相关性指标衡量候选技能,将其融入传统的术语抽取方法之中,形成一种网络招聘文本技能信息自动抽取方法。[结果/结论]实验表明,本文提出的方法能够从网络招聘文本中自动、快速、准确地抽取技能信息。

关键词: 网络招聘文本, 技能信息自动抽取, 术语抽取

Abstract: [Purpose/significance] Aiming at the problem that the current manual skill information extraction from the online recruitment post is not suitable for the analysis of large data volume information, this paper proposes an automatic skill information extraction for a large number of online recruitment texts.[Method/process] According to the characteristics of online recruitment texts, the candidate skills are analyzed by dependency syntax analysis, then the domain relevance indicators are used to measure candidate skills, and they are integrated into the traditional terminology extraction method to form a method for automatic extraction of skill information from online recruitment texts.[Result/conclusion] Experiments show that the proposed method can extract skill information automatically, quickly and accurately from the mass online recruitment texts.

Key words: online recruitment text, skill information automatic extraction, term extraction

中图分类号: