Junk mail identification method and device

Abstract

The invention discloses a junk mail identification method and device, and relates to the technical field of computers. One specific embodiment of the method comprises the steps of analyzing a target mail, obtaining mail information of the target mail and key information with a set label, and splicing the mail information and the key information to obtain text data; carrying out word segmentation on the text data to obtain a word segmentation result, and carrying out vectorization representation on the word segmentation result by utilizing a pre-trained word vector model to obtain a corresponding feature matrix; inputting the feature matrix into a pre-trained mail recognition model for recognition, and outputting a recognition result of the target mail; wherein the mail identification modelis used for identifying whether the target mail is a junk mail or not. According to the embodiment, the junk mail identification accuracy is improved, the maintenance cost is reduced, and the junk mail identification method is not influenced by human factors.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a spam identification method and device. Background technique [0002] With the development of Internet technology, e-mail has become a very important means of communication in life and work. However, due to its high popularity, low transmission cost, and a certain degree of anonymity, e-mail has become a medium for advertising or some illegal information transmission, resulting in the flood of spam. Among them, spam in this article refers to various types of emails such as advertising emails and phishing emails that are forcibly delivered to the recipient's mailbox without the recipient's permission. [0003] The proliferation of spam not only requires users to spend a lot of time to deal with it, but may also directly or indirectly cause property loss or personal information leakage of users. Therefore, how to identify spam has become a current research hotspot. Current ide...

AI Technical Summary

Problems solved by technology

[0005] There are various forms of spam, and the content changes rapidly, which makes it easy to avoid filtering based on content keyword analysis technology, and the recognition accuracy is low; based on the manual definition of filtering rules, it is often necessary to manually analyze a large number of spam to summarize the corresponding Regularity, high maintenance cost, and strong subjectivity

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