Study on Chinese spam filtering system based on Bayes algorithm

In view of the shortcoming that high dimension of features in the Chinese spam filtering system, a TF-IDF features extraction algorithm was proposed based on the central word extension, the algorithm improves the expression capacity of the node in the network and reduces the dimension of feature. Fu...

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Bibliographic Details
Main Authors: Haoran LIU, Pan DING, Changjiang GUO, Jinfeng CHANG, Jingchuang CUI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2018-12-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000−436x.2018281/
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