网络招聘文本技能信息自动抽取研究

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。

Research on Skill Information Automatic Extraction from Online Recruitment Texts

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.