The invention discloses a junk mail classification method, device and equipment and a storage medium. The junk mail classification method, device and equipment are realized through an extraction module, a detection module, a classification module and a disposal module. The extraction module can be determined according to specific requirements of junk mail classification, the detection module adopts multiple fusion
feature vector technologies based on an LLM pre-training model and
feature engineering to realize multi-
modal detection of
metadata, texts, pictures, hyperlinks and vision of junk mails, and the classification module can perform classification on the junk mails based on fusion feature vectors. By using a TabNet mode, the capability of learning features is improved, further
subdivision of the junk mails / mails is realized, and meanwhile, a disposal module provides custom configuration for a user, so that the customized and automatic disposal requirements of the user on the junk mails / mails can be met. According to the scheme, the detection accuracy of junk mails is improved, more personalized settings can be provided, a user can better manage mail classification rules,
misinformation is reduced, and it is ensured that valuable mails cannot be classified mistakenly.