Labeling method and system for recruitment field knowledge graph construction

The invention relates to the field of online recruitment, in particular to a labeling method and system for recruitment field knowledge graph construction. The method comprises the following steps: obtaining a job class knowledge data source constructed by a recruitment field knowledge graph, performing clustering analysis on the job class knowledge data source, performing text feature extraction and named entity recognition on a preliminary classification result by using an entity recognition model, outputting a recognized entity result, performing word segmentation on the preliminary classification result, and obtaining a final classification result; matching the word segmentation result with knowledge of the knowledge tree, and outputting a knowledge label; the entity result and the knowledge label are subjected to similarity calculation and filtering and then combined to obtain a marking result, the marking result is sent to an application end and then can be applied to a search recommendation scene, and