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.