[Purpose/significance] In order to help college teachers and students make full use of web recruitment information, 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.
Yu Yan
,
Chen Lei
,
Zhao Naixuan
. Research on Automatic Construction of Curriculum Knowledge Model Based on Web Recruitment Text Mining[J]. Library and Information Service, 2019
, 63(10)
: 134
-142
.
DOI: 10.13266/j.issn.0252-3116.2019.10.015
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