Text importance calculation method and device and equipment and storage medium

Abstract

The invention discloses a text importance calculation method and device and equipment and a storage medium. The method comprises the following steps of obtaining text contents and text formats of a plurality of text files in a text file library; extracting a target file set in the plurality of text files, wherein the target file set is all or part of the plurality of text files; calculating a content importance score of each text file in the target file set according to a content score rule; calculating a layout importance score of each text file in the target file set according to a layout score rule; and according to the content importance score and the format importance score, carrying out importance sorting on each text file in the target file set. According to the technical scheme provided by the embodiment of the invention, the analysis of the importance of each text is realized according to the text content and the text format, the required text file is effectively obtained, andthe screening accuracy of the text file is improved while the manual screening process is avoided.

Description

technical field [0001] The embodiments of the present invention relate to the fields of information retrieval and information classification, and in particular to a text importance calculation method, device, device and storage medium. Background technique [0002] With the rapid development of science and technology and the popularization of Internet technology, the number of text files is increasing day by day. Therefore, how to filter out the most important one or more files among the many text files becomes particularly important. [0003] In the existing technology, information retrieval and information classification technologies are usually used to screen text files and determine their importance. Taking the most common word frequency-reverse file frequency method as an example, by constructing a text file related to industry type, business type or classification type, etc. keyword, calculate the frequency of occurrence of the keyword in each text file, and the propor...

AI Technical Summary

Problems solved by technology

[0004] In the process of realizing the present invention, the inventor found that the prior art has the following defects: In the prior art, the judgment of the importance of the text completely depends on the text content itself , which often leads to the fact that the files obtained after screening are not the target files that you want to obtain, which makes the judgment of the importance of the text deviate

For example, if a user wants to obtain various legal documents and defines "law" as a keyword, the obtained documents may be one or more other types of documents, just because the keyword "law" appears many times in this document itself , so the obtained target file is not accurate

Images