期刊名称：IAENG International Journal of Computer Science
印刷版ISSN：1819-656X
电子版ISSN：1819-9224
出版年度：2019
卷号：46
期号：1
页码：46-53
出版社：IAENG - International Association of Engineers
摘要：A classification model based on the naïve Bayesalgorithm is proposed to classify spam messages moreeffectively. Spam message classification models based on thenaïve Bayes algorithm are constructed both formulti-classification and multi-two-classification through stepsinvolving text preprocessing based on regular expression andfeature extraction based on Jieba segmentation and the TF-IDF(term frequency–inverse document frequency) algorithm. Byfurther comparing the classification performance against thesupport vector machine and random forest algorithms, thenaïve Bayes algorithm based on multi-two-classification isshown to be the best.
