Literature security classification discrimination method based on statistical word segmentation

The invention discloses a literature security classification discrimination method based on statistical word segmentation, which belongs to the technical field of information security, and comprises the following steps: extracting text content in an electronic file to obtain corresponding document content; carrying out semantic similarity calculation on the document content and sensitive information in a pre-constructed sensitive information base; and calculating the content confidential degree of the electronic file according to the semantic similarity to obtain a security classification judgment result of the electronic file. According to the method, the content of an electronic file is extracted and compared with sensitive information in the sensitive information base, the suspected confidential information in the document is found, and whether the electronic file is confidential or not is judged so as to assist workers in carrying out security classification screening on the electronic file, so that liter