Label configuration method and device, equipment and storage medium

The embodiment of the invention discloses a label configuration method and device in the field of artificial intelligence, equipment and a storage medium. The method comprises the steps of obtaining a target resource of a to-be-configured label; performing feature extraction processing on the target reference data of the target resource through a feature extraction model to obtain a feature vector corresponding to the target reference data; through a label classification model, according to the feature vector corresponding to the target reference data, determining the probability that the target resource belongs to each candidate classification label, wherein the label classification model and the feature extraction model are mutually independent; and determining a target classification tag corresponding to the target resource according to the probability that the target resource belongs to each candidate classification tag. According to the method, a large-scale training sample can be used for training the u