[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.
Yu Yan
,
Chen Lei
,
Jiang Jinde
,
Zhao Naixuan
. Research on Skill Information Automatic Extraction from Online Recruitment Texts[J]. Library and Information Service, 2019
, 63(13)
: 105
-113
.
DOI: 10.13266/j.issn.0252-3116.2019.13.011
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