The invention provides a method for creating a
structured document based on a
deep learning model, and relates to the technical field of
data processing, and the method comprises the steps: obtaining basic text information collected by a user, obtaining text data, fragmenting the text data, obtaining text fragmented data, and creating a
structured document according to the text fragmented data. Analyzing the structures of the sentences in the paragraphs, determining keywords in the sentences, analyzing the
logical relationship between the sentences in the paragraphs, associating the
sentence keywords in the paragraphs, analyzing the association degree between the paragraphs in the chapters, identifying core keywords of the chapters, obtaining a chapter keyword
data set, and analyzing the field involved in the text. The method comprises the steps of extracting field information of a text to obtain a text keyword
data set, constructing a
structured document model based on a graph neural
network model, and inputting the text keyword
data set and text data into the structured
document model to obtain a structured document. According to the method, the structured document can be constructed through the
deep learning model.