The invention relates to the technical field of office
data classification, and discloses an automatic office
data classification method, which comprises the following steps: S1, firstly, receiving office data in various forms, S2, enabling a preprocessed document to enter a
natural language processing model based on
deep learning, S3, carrying out
image content containing data, S4, carrying out classification on the
image content containing the data in the classification process, and S5, carrying out classification on the
image content containing the data. S5, classifying the data through a
classification rule according to the operation
habit and feedback of the user, S6, dynamically adjusting the
classification rule according to the dimension information of the document, and S7, storing the document into a
system and then docking with an office
system. Different types of office documents can be quickly and accurately classified through preprocessing of the multi-
modal data and semantic analysis of the
deep learning model, and deep optimization can be performed through a self-
supervised learning method regardless of text documents, image documents or table documents, so that the
document classification accuracy and
processing speed are remarkably improved.