Declaration form classification method, device and equipment and storage medium

Abstract

The invention discloses a declaration form classification method. The method comprises the steps of utilizing a deep learning neural network in advance to train a classification model; obtaining eachtarget project name of a target declaration form; and inputting each target project name into the preset classification model, and obtaining a corresponding classification result. The classification model learns the characteristics of different types of financial statements in advance, so that compared with the mode of determining the report type of the target declaration form by performing project name matching on the target declaration form and a standard financial report form in the prior art, the method has the advantages that the influence of irrelevant symbols, messy codes, difference inexpression and the like on classification can be eliminated, and the accuracy of classifying the declaration forms is further improved. The invention furthermore discloses a declaration form classification device and equipment and a computer readable storage medium, which all have the above beneficial effects.

Description

technical field [0001] The invention relates to the field of document classification, in particular to a classification method, device, equipment and computer-readable storage medium for declaration forms. Background technique [0002] Financial statements include three types: balance sheet, profit statement and cash flow statement; among them, each type of financial statement contains multiple types of sub-sheets according to different financial systems. When it is necessary to integrate the target declaration form provided by the user into the above-mentioned corresponding types of financial statements, it is necessary to match the target declaration form with the above-mentioned types of financial statements (sub-forms), so as to determine the type of the declaration form. At present, it is generally to match each target item name of the target declaration form with each standard item name of each standard financial statement, and the overall matching degree of each item ...

AI Technical Summary

Problems solved by technology

However, due to different realistic factors, there may be irrelevant symbols, garbled characters, and differences in expression in the user's target declaration form. Therefore, matching according to the method in the prior art will greatly reduce the matching with the standard financial statement. degree, making it impossible to accurately determine the report type of the target declaration form

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