File classification method and device based on deep learning, electronic equipment and medium

Abstract

The invention relates to an artificial intelligence technology, and provides a file classification method based on deep learning, which comprises the following steps: carrying out word segmentation processing on prefix names of files through a word segmentation algorithm to obtain keywords of each file, and then carrying out value analysis on the files through the keywords based on a preset value analysis model to obtain a value ranking list of each file, performing dimension division on the files according to the value ranking list to form file labels, and performing classification management on the files based on the file labels, a traversal program being an algorithm with traversal and labeling functions, and accurately obtaining the value arrangement of each file at the same level through a preset value analysis model, therefore, the files can be accepted and rejected according to the value sequence so as to automatically select to delete or retain, if the files retain, the files are classified according to the labels, and then the files of the same level are accepted, rejected and managed.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, relates to keyword extraction technology, in particular to a deep learning-based file classification method, device, electronic equipment and computer-readable storage medium based on keyword extraction technology. Background technique [0002] During the daily use of the computer, more and more files are accumulated. Therefore, it is necessary to regularly organize and clear some invalid files in order to keep folders and files in order and free up space. [0003] The process of cleaning up files and folders is quite time-consuming and energy-intensive. At present, anti-virus software is often used for file detection to detect folders or files that have not been used for a long time, and then the anti-virus software announces the creation period of the file , and prompt the user whether to delete the file to expand the storage space, but this method can only obtain files that have ...

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a file classification method based on deep learning to solve the problem that currently, killing software is often used for file detection to detect folders or files that have not been used for a long time, and then the killing software announces the creation period of the file, and Prompt the user whether to delete the file to expand the storage space, but this method can only obtain files that have not been used for a long time, and cannot organize or classify them, and if the anti-virus software chooses to delete files that have not been used for a long time It is not easy to retrieve the deleted files within a certain period of time. Therefore, if you choose to delete due to misoperation, the deleted files cannot be recovered.

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