Multilevel Email classification method based on Email content

Abstract

The invention discloses a multilevel Email classification method based on Email content. For the problem that imbalance of samples has significant impact on an Email classification effect, a mode of establishing three-level classifiers is employed. According to the mode, a naive bayes algorithm, a support vector machine and a C4.5 algorithm combined voting mode is employed in establishment of a first level classifier; a random forest algorithm is employed in the establishment of a second level classifier; and a liblinear algorithm is employed in the establishment of a third level classifier. According to the method, for design of the classifiers, a multilevel classification mode is employed; levels of the algorithms are increased; through layer by layer filtering, under the condition of ensuring a recall rate, the accuracy of the classifiers is improved gradually; the balance of positive and negative samples is increased continuously; basic balance of the Email data is realized at the last level; the final classification effect is less influenced by the imbalance of the samples; and the relatively good effect is realized in Email classification.

Description

technical field [0001] The invention belongs to the technical field of network communication, and in particular relates to the design of a multi-level mail classification method based on mail content. Background technique [0002] While the network has entered the lives of thousands of people, network communication has become more and more frequent, and mail communication is an important means of network communication. However, while e-mail has gradually become an indispensable and important information exchange tool, the increasing number of e-mails has also brought great troubles to people's life and work. Especially for companies and government agencies, facing a large number of recommendation emails, greeting emails, important emails mixed with them, and urgently needed emails, people need to pay a huge workload, resulting in a lot of human waste and economic losses. . [0003] In order to deal with these problems, email filtering is usually used at present, but the co...

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Problems solved by technology

[0008] The purpose of the present invention is to solve the problem that the imbalance of samples in the prior art has a significant impact on the effect of mail classification, and proposes a multi-level mail classification method based on mail content

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