Method and system for mail classification based on clustering

Abstract

The invention discloses a mail classification method and a mail classification system based on clustering. The mail classification method comprises the steps of carrying out word segmentation on each mail in a mail set to be classified to obtain a word set of each mail; determining the word feature vector of each mail; creating a vector cluster containing the word feature vector for each word feature vector after the word feature vectors of all mails form a word feature vector set, and making each word feature vector represent a cluster center of the corresponding vector cluster; carrying out at least one cluster merging on the vector clusters according to the similarity among the word feature vectors, and classifying mails corresponding to the word feature vector contained by the vector cluster into one kind of mails for each vector cluster after cluster merging. According to the technical scheme, the mails are classified according to the word feature vectors which cluster into the vector clusters, kinds of sample mails are not needed in advance, and various kinds of mails can be classified according to the content of the mails.

Description

technical field [0001] The invention relates to the Internet field, in particular to a method and system for classifying mails based on clustering. Background technique [0002] With the improvement of social informatization, more and more users use emails, and users often receive a large number of emails, which are usually various types of emails, such as business news, orders, social networking, training, recruitment and Investment and financial management and other types of emails. [0003] The method for classifying mail in the current mail system focuses on classifying mail as spam or non-spam, usually using a classification method based on mail content. Specifically, in the training set composed of multi-sample emails, the contents of the sample emails classified as spam or non-spam are processed, and various machine learning algorithms are used according to the contents of the processed sample emails, such as Bayesian (Bayes) algorithm, Support Vector Machine (Suppo...

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Problems solved by technology

[0004] However, the inventors of the present invention have found that the mail classification method in the prior art can no longer meet the user's classification requirements for mail: in order to facilitate the query of received mail, the user usually hopes that the mail system has the function of classifying multiple types of mail. Received emails can be divided into business news, social, training, recruitment, and investment and financial emails; therefore, it is necessary to provide a method for classifying emails in multiple categories

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