A Website Group Data Security Analysis Model Based on Word Embedding Expansion

Abstract

To solve the problem of analysing website group data security, an analysis model based on word embedding expansion is proposed. Firstly, the word embedding method is used to expand the sensitive word dictionary. Then the crawled content is preprocessed and feeded into the filtering algorithm to filter the sensitive words. Finally, an analysis algorithm is designed to handle the final data and give the result. Experiments show the model proposed in this paper has a good security analysis performance.