Method, device, equipment and readable storage medium for identifying abnormal character strings

Abstract

The invention discloses an abnormal character string identification method and device, equipment and a readable storage medium. The method comprises the following steps: acquiring an original character string, and respectively converting the original character string into a corresponding picture and phonetic symbol string; respectively inputting the original character string, the picture and the phonetic symbol string into a first deep learning model, a second deep learning model and a third deep learning model to obtain a corresponding first deep learning feature vector, a corresponding second deep learning feature vector and a corresponding third deep learning feature vector; determining a standardized character string corresponding to the original character string based on the first deep learning feature vector, the second deep learning feature vector and the third deep learning feature vector; and matching the standardized character string with a character string in a preset abnormal database, identifying an abnormal character string in the standardized character string, and outputting an identification result. According to the scheme, the abnormal character string is automatically recognized, the recognition efficiency is improved, and the precision and accuracy are improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of data processing, and in particular, to a method, device, device, and readable storage medium for identifying abnormal character strings. Background technique [0002] Nowadays, people cannot live without the Internet. Users will generate text content in shopping, chatting, studying, working and other scenarios. Often users will input abnormal content subjectively or unintentionally during the writing process. In order to reduce the dissemination of these abnormal contents, it is necessary to identify the content input by the user. At present, two methods are generally used: 1. manual identification; 2. regular expression matching identification. [0003] However, with the rapid development of science and technology, the frequency of users using the Internet has increased sharply, and it takes more manpower and time to identify abnormal content. If only relying on manual identific...

AI Technical Summary

Problems solved by technology

However, this method has a low degree of recognition of deformed characters, and it is difficult to recognize character strings that users deliberately input through deformed characters.

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